Phase based search procedure for radar detection

Abstract

In some configurations, the radar equipment can receive signals including reflected frequency-modulated continuous wave (FMCW) radar signals and interference. The radar equipment can identify reflected FMCW radar signals, at least in part, by performing a phase-based search procedure to facilitate the removal of interference from the received signals. The radar equipment can perform actions, at least in part, based on the characteristics of the identified reflected FMCW radar signals. Many other configurations are described.

Description

Technical Field

[0001] The various types of samples disclosed herein generally relate to radar technology, and for example to phase-based search procedures for radar detection. Prior Technology

[0002] Radar equipment is a type of sensor device that can be used to detect targets, determine target characteristics, etc. Radar equipment can be used in vehicles and can be used to determine characteristics associated with the vehicle and / or characteristics associated with the vehicle's environment. For example, radar equipment can be configured to detect proximity to objects, road information, vehicle position (e.g., relative to a target), etc. Summary of the Invention

[0003] In some cases, a method performed by a radar device includes: receiving a received signal comprising a reflected frequency-modulated continuous wave (FMCW) radar signal and interference; identifying the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of interference from the received signal; and performing an action at least in part based on the characteristics of the identified reflected FMCW radar signal.

[0004] In some embodiments, a radar device for wireless communication includes a memory and one or more processors coupled to the memory, the one or more processors being configured to: receive a received signal including a reflected FMCW radar signal and interference; identify the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of interference from the received signal; and perform actions at least in part based on the characteristics of the identified reflected FMCW radar signal.

[0005] In some forms, a non-transitory computer-readable medium stores a set of instructions for wireless communication, the set of instructions comprising one or more instructions which, when executed by one or more processors of a radar device, cause the radar device to: receive a received signal comprising a reflected FMCW radar signal and interference; identify the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of interference from the received signal; and perform an action at least in part based on the characteristics of the identified reflected FMCW radar signal.

[0006] In some embodiments, an apparatus for wireless communication includes: components for receiving a received signal including a reflected FMCW radar signal and interference; components for identifying the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of interference from the received signal; and components for performing an action at least in part based on the characteristics of the identified reflected FMCW radar signal.

[0007] Various types generally include methods, apparatuses, systems, computer program products, non-transitory computer-readable media, user equipment, user gear, wireless communication equipment, and / or processing systems as described substantially with reference to drawings and instructions and illustrated in drawings and instructions.

[0008] The features and technical advantages of the examples according to this disclosure have been outlined quite extensively above to facilitate a better understanding of the detailed description below. Further features and advantages will be described below. The disclosed concepts and specific examples can be readily used as the basis for modifying or designing other structures for performing the same purpose of this disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein (both their organization and manner of operation) and their associated advantages will be better understood from the following description when considered in conjunction with the drawings. Each drawing in the figures is provided for illustrative and descriptive purposes and not as a definition of limitation of the claims. Simple Explanation of the Diagram

[0009] To gain a more detailed understanding of the features described above, a more specific description can be obtained by referring to the various embodiments, some of which are shown in the figures. However, it should be noted that the figures only show some typical embodiments of this disclosure and should not be considered a limitation on its scope, as the description may allow for other equally valid embodiments. Identical element symbols in different figures may identify the same or similar elements.

[0010] Figure 1 is a diagram illustrating an example environment in which the phase-based search procedure for radar detection described herein can be implemented according to this disclosure.

[0011] Figure 2 is a diagram illustrating example components of one or more devices (such as radar devices) shown in Figure 1 according to this disclosure.

[0012] Figures 3-4, 5A-5D and 6-9 are diagrams illustrating examples of phase-based search procedures for radar detection according to this disclosure.

[0013] Figure 10 is a flowchart of an example process associated with a phase-based search procedure for radar detection according to this disclosure. Implementation

[0014] The various embodiments of this disclosure are described more fully below with reference to illustrations. However, this disclosure may be embodied in many different forms and should not be construed as limited to any particular structure or function given herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of this disclosure to those skilled in the art. Based on the teachings herein, those skilled in the art should understand that the scope of this disclosure is intended to cover any embodiment of this disclosure, whether implemented independently of or in combination with any other embodiment of this disclosure. For example, any number of embodiments set forth herein may be used to implement an apparatus or practice. Furthermore, the scope of this disclosure is intended to cover apparatuses or methods practiced using structures, functions, or structures and functions other than those set forth herein or different from those set forth herein. It should be understood that any embodiment of this disclosure may be embodied by one or more elements of the claims.

[0015] In some cases, frequency-modulated continuous wave (FMCW) radar can be used to detect specific targets. FMCW radar uses a linearly frequency-modulated signal to obtain range. The received signal is mixed with the transmitted signal to obtain the beat frequency between the two. The beat frequency is a function of the round-trip time to the reflecting target and can therefore be directly mapped to its range. Beamforming associated with multiple receiver channels can be used to determine the direction of arrival (DoA) of the received signal, which can be correlated with the azimuth position of the target. Multiple radar signal chirps can be transmitted in time as a series of equally spaced pulses. Radial motion occurring between pulses within a resolution range cell causes a shift on the pulse, which can be used to calculate the Doppler radial velocity in that cell. The received radar data can be represented as a three-dimensional (3D) tensor, where the first two dimensions (range and DOA) constitute the polar space, and the third dimension (Doppler radial velocity) contains velocity information.

[0016] In some cases, such as FMCW-based radar equipment, it can be used to detect the presence of human tissue near the equipment. FMCW-based radar equipment can be user equipment (UE), and FMCW radar can be used to detect nearby human tissue to facilitate compliance with maximum permissible exposure guidelines. However, the receiver of an FMCW-based radar equipment may experience interference in the form of mutual coupling between the transmitter and receiver. Mutual coupling can be stronger than reflected signals and can be caused, for example, by chip leakage and / or electromagnetic propagation in the air.

[0017] To mitigate mutual coupling, radar equipment can eliminate interference. To eliminate interference, radar equipment can determine timing estimates associated with the interference. In some cases, a correlation-based searcher can be used to search for interference in the received signal. However, a correlation-based searcher is based on the correlation result of comparing a reference signal with the received signal. The reference signal is updated from the feedback loop. Therefore, due to jitter in the timing of the reference signal, a single inaccurate reference signal can cause the peak of the correlation result to shift to an incorrect position, making interference identification difficult or impossible. Consequently, radar equipment may trigger unnecessary actions based on false target detection, fail to trigger actions that should be triggered when the target is present due to the failure to detect the target because of interference, or send additional radar chirps to attempt to distinguish the target, thus increasing processing and communication resource consumption.

[0018] Some implementations described herein enable the use of phase-based search procedures, which can facilitate more accurate timing determination of interference. For example, a radar device may receive a received signal comprising reflected FMCW radar signals and interference. The radar device can identify reflected FMCW radar signals, at least in part, by performing a phase-based search procedure to facilitate the removal of interference from the received signal. Phase-based search procedures do not rely on a reference signal to operate and therefore do not compound errors like correlation-based searchers. Therefore, some characteristics of phase-based searchers may be more robust and fault-tolerant than those of correlation-based searchers. In this way, the characteristics disclosed herein can facilitate the differentiation of interference and targets with higher reliability. Consequently, some characteristics can contribute to reduced processing and communication resource consumption and have a positive impact on device performance.

[0019] Although this document describes some examples in conjunction with one or more radar devices used in UE-based wireless communication environments, one or more radar devices can be similarly used and / or designed for other types of example environments (e.g., road environments, marine environments and / or aerospace environments, and others).

[0020] Figure 1 is a diagram of an example environment 100 in which the systems and / or methods described herein may be implemented. As shown in Figure 1, environment 100 may include radar device 105 and target 110. Environment 100 may also include wireless communication device 115, UE 120, and base station 125. Two or more of radar device 105, wireless communication device 115, UE 120, and base station 125 may communicate with each other via network 130. Radar device 105 may be, integrated into, implemented in, or include: wireless communication device (such as or similar to wireless communication device 115), base station (such as or similar to base station 125), or UE (such as or similar to UE 120). In some cases, radar device 105 may include a separate radar device.

[0021] Network 130 can be one or more wired networks, one or more wireless networks, or a combination thereof. Wireless network 130 can be or may include 3G networks, 4G networks, 5G (New Radio, NR) networks, Long Term Evolution (LTE) networks, and / or 6G networks, and other examples. Wireless communication device 115 can be a base station, UE, relay equipment, and / or any other type of device capable of wireless communication. Base stations may include Node Bs, gNBs, 5G Node Bs (NBs), access points, transmit-receive points (TRPs), etc.

[0022] UE 120 may be stationary or mobile. UE may also be referred to as an access terminal, terminal, mobile station, subscriber unit, station, etc. UE may be, include, or be included in: cellular telephones (e.g., smartphones), personal digital assistants (PDAs), wireless modems, wireless communication devices, handheld devices, laptops, wireless telephones, wireless local loop (WLL) stations, tablets, cameras, gaming devices, lightweight laptops, smartbooks, ultra-thin laptops, medical devices or equipment, biometric sensors / devices, wearable devices (smartwatches, smart clothing, smart glasses, smart wristbands, smart jewelry (e.g., smart rings, smart bracelets)), entertainment devices (e.g., music or video devices, or satellite radios), vehicle components or sensors, smart meters / sensors, industrial manufacturing equipment, GPS devices, radar devices, or any other suitable device configured to communicate via wireless or wired media.

[0023] Some UEs can be considered machine-type communication (MTC) or evolved or enhanced machine-type communication (eMTC) UEs. MTC and eMTC UEs include, for example, robots, drones, remote devices, sensors, meters, monitors, location tags, etc., capable of communicating with a base station, another device (e.g., a remote device), or some other entity. Wireless nodes can provide connectivity to or from a network (e.g., a wide area network such as the Internet or cellular networks) via wired or wireless communication links. Some UEs can be considered Internet-of-Things (IoT) devices, and / or can be implemented as NB-IoT (Narrowband Internet of Things) devices. Some UEs can be considered Customer Premises Equipment (CPE). UE 120 can be included within a housing that houses the components of UE 120 (such as processor components, memory components, etc.). In some cases, the processor components and memory components can be coupled together. For example, processor components (e.g., one or more processors) and memory components (e.g., memory) can be operatively coupled, communicatively coupled, electronically coupled, electrically coupled, etc.

[0024] Radar device 105 includes one or more devices capable of generating, transmitting, receiving, storing, processing, and / or providing information associated with transmitting FMCW radar signals, receiving signals, etc. Target 110 can be any object capable of reflecting at least a portion of the radar signal.

[0025] As shown in the figure, radar device 105 may include a signal generator 135 for generating FMCW radar chirps. In some cases, the FMCW radar chirps may be generated at least in part based on a first set of transmission parameter values. The set of transmission parameter values ​​may indicate the starting frequency, slope (rate of change of frequency), initial phase, power, amplitude, periodicity (time interval between chirps), etc.

[0026] As shown in Figure 1, radar device 105 may include a transmit chain (Tx) 140, which generates and transmits an FMCW radar signal 145 based at least in part on an FMCW radar chirp. In some embodiments, transmit chain 140 may include any type of transmit chain configured to receive one or more FMCW radar chirs and transmit the resulting radar signal 145. As shown in Figure 1, radar device 105 may include a receive chain (Rx) 150. In some embodiments, receive chain 150 may be configured to receive a received signal 155, components of the received signal 155, etc. As shown, for example, received signal 155 may include a reflection of the transmitted FMCW radar signal 145 from target 110. In some embodiments, received signal 155 may include jamming. Jamming may include, for example, one or more jamming signals, such as mutually coupled transmissions.

[0027] As shown in Figure 1, radar device 105 may include a target detection component 160 configured to detect radar target 110 at least in part based on a received signal 155 corresponding to FMCW radar signal 145. As shown, target detection component 160 may include a phase-based searcher (shown as “PBS”) 165. The phase-based searcher may include one or more components of radar device 105 configured to identify reflected FMCW radar signals at least in part based on performing a phase-based search procedure, as described herein.

[0028] In some cases, as described below in conjunction with Figures 4-10, a radar device 105 using a phase-based searcher can determine the phase distribution of a received signal 155 corresponding to a phase search range. The phase search range can be based at least in part on hardware capabilities associated with the radar device 105. The phase distribution can represent multiple phases sampled in multiple time domains within a time period corresponding to the transmission of an FMCW radar chirp. The radar device 105 can detect turning points in the phase distribution and can identify reflected FMCW radar signals at least in part based on these turning points.

[0029] To determine the phase distribution, radar device 105 can determine multiple phase angles, which include the phase angle of each of the multiple signal samples of the received signal 155. Radar device 105 can correct the multiple phase angles, at least in part, based on the determination that the absolute jump between the phase angles and adjacent phase angles meets the jump tolerance threshold, by adding a correction factor to the phase angles of the multiple phase angles.

[0030] In some configurations, radar device 105 can detect turning points by determining a phase difference sequence of the phase distribution based at least partially on a sliding window and by detecting differential transition points based at least partially on the phase difference sequence, where the differential transition points correspond to turning points. The phase difference sequence may include a sequence of values ​​1 and -1, and detecting turning points may include detecting turning points at least partially based on a sign-reversal transition point index and a ramp ratio. In some configurations, radar device 105 can determine the phase difference sequence by determining the sign of the difference between the phase value at a sampling point corresponding to a first time instance and the phase value at a second time instance, where the second time instance is separated from the first time instance by the length of the sliding window.

[0031] In some cases, the sign of the difference between the phase value at a sampling point and the phase value at a second time instance can be based at least in part on the relationship between the time instance, the chirp length, and the turn-around time. In some cases, the sign-flipping transition point index can correspond to a detection point instance that is based at least in part on the difference between half the chirp length and the length of the sliding window. The radar device 105 can determine the sign-flipping transition point index at least in part based on applying a moving average window to the phase difference sequence. The radar device 105 can identify the reflected FMCW radar signal by at least in part based on the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp.

[0032] In some cases, radar device 105 can identify the start point of the frequency ramp by determining the end point of the frequency ramp at least partially based on the turning point, and by determining a time period that ends at the end point of the frequency ramp and has a length corresponding to the length of the frequency ramp transmitting the FMCW radar chirp. Radar device 105 can extract a truncated set of sampling points at least partially based on the turning point.

[0033] In some cases, radar device 105 can use a phase-based searcher 165 to determine the acquisition quality associated with truncated sampling points. To determine the acquisition quality, radar device 105 can be configured to determine a first ratio of a value -1 (I) associated with a subset of the truncated sampling point set corresponding to a first time period before a turning point to the length of the first time period, a second ratio of a value -1 (-1) associated with a subset of the truncated sampling point set corresponding to a second time period after a turning point to the length of the second time period, and to determine that at least one of the first ratio or the second ratio satisfies a ratio threshold. Radar device 105 can discard the truncated sampling point set at least in part based on determining that at least one of the first ratio or the second ratio satisfies a ratio threshold.

[0034] In some embodiments, radar device 105 may use a phase-based searcher 165 to perform actions such as determining timing information associated with the reflected FMCW radar signal. In some embodiments, radar device 105 may identify interference based at least in part on the timing associated with the reflected FMCW radar signal. Radar device 105 may remove interference from the received signal. In some embodiments, radar device 105 may detect target 110, output an indication of radar target 110 detection, and / or change transmission parameters, among other examples.

[0035] The number and arrangement of devices and components shown in Figure 1 are provided as one or more examples. In practice, additional devices and / or components, fewer devices and / or components, different devices and / or components, or devices and / or components arranged differently from those shown in Figure 1 may exist. Furthermore, two or more devices and / or components shown in Figure 1 may be implemented within a single device, or a single device and / or component shown in Figure 1 may be implemented as multiple distributed devices. Additionally or alternatively, a collection of devices and / or components of environment 100 (e.g., one or more devices and / or components) may perform one or more functions described as being performed by another collection of devices and / or components of environment 100.

[0036] Figure 2 is a diagram illustrating example components of device 200 according to this disclosure. Device 200 may correspond to a radar device (e.g., radar device 105 depicted in Figure 1). In some cases, radar device 105 may include one or more devices 200 and / or one or more components of device 200. Device 200 may facilitate the detection of targets using combined frequency modulated continuous wave (FMCW) radar signals, as described below in conjunction with Figures 3 to 9. As shown in Figure 2, device 200 may include bus 210, processor 220, memory 230, storage component 240, input component 250, output component 260, communication interface 270, and / or phase-based search component 280. Phase-based search component 280 may be, include, be included in, or be similar to the phase-based searcher 165 shown in Figure 1.

[0037] Bus 210 includes components that allow communication between components of device 200. Processor 220 may be implemented in hardware, software, or a combination of hardware and software. Processor 220 may include a central processing unit (CPU), graphics processing unit (GPU), accelerated processing unit (APU), microprocessor, microcontroller, digital signal processor (DSP), field-programmable gate array (FPGA), application-specific integrated circuit (ASIC), or another type of processing component. In some cases, processor 220 may include one or more processors that can be programmed to perform one or more functions. Memory 230 may include random access memory (RAM), read-only memory (ROM), and / or another type of dynamic or static storage device (e.g., flash memory, magnetic memory, and / or optical memory) that stores information and / or instructions for use by processor 220.

[0038] Storage component 240 may store information and / or software related to the operation and use of device 200. For example, storage component 240 may include hard disks (e.g., magnetic disks, optical disks, magneto-optical disks, solid-state disks, etc.), compact discs (CDs), digital versatile discs (DVDs), floppy disks, cassette tapes, magnetic tapes, and / or another type of non-transitory computer-readable media. Storage component 240 may include non-transitory computer-readable media and corresponding drives. In some cases, storage component 240 may be included in, incorporated into, or integrated into memory 230.

[0039] Input component 250 includes components that allow device 200 to receive information, such as via user input (e.g., touchscreen display, keyboard, keypad, mouse, buttons, switches, and / or microphone). Alternatively or additionally, input component 250 may include components for determining the location or position of device 200 (e.g., a Global Positioning System (GPS) component, a Global Navigation Satellite System (GNSS) component, etc.), sensors for sensing information (e.g., accelerometer, gyroscope, actuator, another type of positioning or environmental sensor, etc.). In some cases, input component 250 may include a receiver chain (e.g., receiver chain 150, etc.) and / or one or more of its components, a target detection component (e.g., target detection component 160) and / or one or more of its components, etc.

[0040] Output component 260 may include components that provide output information from device 200 (e.g., a display, speaker, haptic feedback component, audio or visual indicator, etc.). In some embodiments, output component 260 may include a transmission chain (e.g., transmission chain 140, etc.) and / or one or more of its components, a signal generator (e.g., signal generator 135, etc.) and / or one or more of its components, etc.

[0041] Communication interface 270 may include transceiver-like components (e.g., transceiver and / or separate receiver and transmitter) that enable device 200 to communicate with other devices, such as via a wired connection, a wireless connection, or a combination of wired and wireless connections. Communication interface 270 may allow device 200 to receive information from and / or provide information to another device. For example, communication interface 270 may include an Ethernet interface, an optical interface, a coaxial interface, an infrared interface, a radio frequency interface, a universal serial bus (USB) interface, a wireless LAN interface (e.g., a Wi-Fi interface), a cellular network interface, etc. In some cases, communication interface 270 may enable device 200 to perform actions at least in part based on the detection of a target, as described above in conjunction with Figure 1.

[0042] Phase-based search component 280 may include software components, hardware components, or combinations thereof configured to perform one or more phase-based search programs, as described herein. Phase-based search component 280 may be included in or comprise one or more of processor 220, memory 230, storage component 240, input component 250, output component 260, and / or communication interface 270.

[0043] Device 200 can execute one or more processes described herein. Device 200 can execute these processes based on software instructions stored in non-transitory computer-readable media (such as memory 230 and / or storage components 240) executed by processor 220. Computer-readable media are defined herein as non-transitory memory devices. Memory devices include memory space within a single physical storage device or memory space distributed across multiple physical storage devices.

[0044] Software instructions may be read into memory 230 and / or storage component 240 via communication interface 270 from another computer-readable medium or from another device. When executed, the software instructions stored in memory 230 and / or storage component 240 may cause processor 220 to perform one or more processes described herein. Thus, for example, software instructions may include, be included in, or otherwise contribute to the instantiation and functionality of send chains (e.g., send chain 140, etc.), signal generators (e.g., signal generator 135, etc.), receive chains (e.g., receive chain 150, etc.), target detection components (e.g., target detection component 160, etc.), and / or phase-based searchers (e.g., phase-based searcher 165, etc.), as well as other examples.

[0045] Alternatively or concurrently, hardwired circuitry may be used in place of or in combination with software instructions to execute one or more of the processes described herein. Therefore, the patterns described herein are not limited to any particular combination of hardware circuitry and / or software.

[0046] In some embodiments, device 200 includes components for performing one or more processes described herein and / or components for performing one or more operations of the processes described herein. For example, device 200 may include components for receiving a received signal including a reflected FMCW radar signal and interference; components for identifying a reflected FMCW radar signal to facilitate the removal of interference from the received signal, at least in part based on performing a phase-based search procedure; and / or components for performing actions at least in part based on the characteristics of the identified reflected FMCW radar signal. In some embodiments, such components may include one or more components of device 200 described in conjunction with FIG. 2, such as bus 210, processor 220, memory 230, storage component 240, input component 250, output component 260, communication interface 270, phase-based search component 280, etc.

[0047] The number and arrangement of components shown in Figure 2 are provided as an example. In practice, device 200 may include additional components, fewer components, different components, or components arranged differently from those shown in Figure 2. Alternatively, a collection of components of device 200 (e.g., one or more components) may perform one or more functions described as being performed by another collection of components of device 200.

[0048] Figure 3 is a diagram illustrating Example 300 associated with a phase-based search procedure for radar detection according to this disclosure. Example 300 illustrates the frequency repetition of FMCW chirp 305 (as indicated by the solid arrow above the "time" axis) over time, and the repetition of reflected FMCW radar signal 310 (as indicated by the dashed arrow above the "time" axis).

[0049] In some cases, for example, a single instance of the FMCW chirp 305 can be represented by a pair of arrows (an upward arrow indicates an increase from a first frequency value fc to a second frequency value fp = fc + µT / 2, and a subsequent downward arrow indicates a decrease from the second frequency value to the first frequency value). Similarly, a single instance of the reflected signal 310 can be represented by a pair of arrows (an upward arrow indicates an increase from the first frequency value to the second frequency value, and a subsequent downward arrow indicates a decrease from the second frequency value to the first frequency value).

[0050] In some embodiments, the FMCW chirp 305 can be generated using a signal generator (e.g., the signal generator shown in Figure 1 and discussed above), and transmitted using a transmitting component (e.g., the transmitting chain 140 shown in Figure 1 and discussed above). In some embodiments, the reflected signal 310 can be received as part of a received signal by a receiving component (e.g., the receiving chain 150 shown in Figure 1 and discussed above). In some embodiments, the reflected signal 310 can be used to detect a target.

[0051] FMCW radar uses linear frequency modulation signals to obtain range. The reflected signal is mixed with the transmitted signal to obtain the beat frequency 315 between the two. The beat frequency can be the difference between the instantaneous frequency of the FMCW chirp 305 and the corresponding instantaneous frequency of the reflected signal 310. The beat frequency can be a function of the round-trip time to the reflecting target and therefore can be directly mapped to its range. Beamforming associated with multiple receiver channels can be used to determine the direction of arrival (DoA) of the received signal, which can be related to the azimuth position of the target. Multiple radar signal chirps can be transmitted in time as a series of equally spaced pulses. Radial motion occurring between pulses within a resolution range cell causes a shift on the pulse, which can be used to calculate the Doppler radial velocity in that cell. The received radar data can be represented as a 3D tensor, where the first two dimensions (range and DOA) constitute the polar space, and the third dimension (Doppler radial velocity) contains velocity information.

[0052] Sending an FMCW chirp 305 can be represented as:

[0053] Therefore, the received signal (or the signal used for phase search) can include a delayed version of the transmitted signal: The phase term at the reflection point is omitted. A low-pass filter can be used to correlate the received signal and the transmitted signal once using their conjugates to eliminate the phase shift. Items to determine correlation Therefore, correlation can provide: for : = ; for : ;as well as for : .

[0054] In some cases, a phase-based search procedure may include analysis of the phase term. In the example above, the time-varying phase term, Phase[ It can be given by the following: when :Phase[ = ; After the smooth 2 jump, it can have a negative slope - ; :Phase[ = ; After the smooth 2 jump, it can have a positive slope , :Phase[ = ; It can have a quadratic form: At <s , the slope is positive and large: ).

[0055] At T / 2, the slope changes from negative to sharply positive. The position of this point does not depend on , thus providing robustness against timing jitter. The sharp change (from - , where << T) can facilitate the change point detection algorithm. [[ID= sixty]]

[0056] As described above, FIG. 3 is provided as one or more examples. Other examples may be different from the examples described with respect to FIG. 3.

[0057] FIG. 4 is a diagram showing an example 400 associated with a phase-based search procedure for radar detection according to the present disclosure. As shown, example 400 shows an overall processing method that can be implemented by a radar device (such as, for example, radar device 105 shown in FIG. 1).

[0058] As shown in the figure, for example, the received signal 410 may include a frequency offset f-cable, which can be corrected by offset correction operation 420. The frequency offset may be associated with interference, which may be a cross-coupled signal. Before correcting the frequency offset, the radar device may perform a phase-based search procedure 430 to extract phase information and perform truncation of the resulting signal 440 to identify the reflected FMCW signal 450. Timing information associated with the interference may be determined at least in part based on the identified reflected FMCW signal 450 and used to identify and subtract the interference from the received signal 410 before offset correction 420.

[0059] As indicated above, Figure 4 is provided only as one or more examples. Other examples may differ from those described with respect to Figure 4.

[0060] Figures 5A-5D are flowcharts illustrating examples 500, 505, 510, and 515 associated with a phase-based search procedure for radar detection according to this disclosure. Examples 500, 505, 510, and 515 can be implemented, for example, by a radar device such as radar device 105 shown in Figure 1. In some cases, examples 500, 505, 510, and 515 can depict illustrative procedures for detecting the turning point of the phase distribution of the received signal and identifying the end point of the rising ramp of the chirp. Once the point is identified, a length equal to the length corresponding to the... The sampling number of segments is used to identify the starting point of the frequency ramp, which can indicate the timing associated with reflected FMCW signals and / or interference.

[0061] As shown in Figure 5A, Example 500 illustrates the flow of a phase-based search procedure for radar detection. As shown, the radar device can determine the phase distribution of the received signal corresponding to the phase search range (block 520). In some cases, the phase distribution can represent multiple phases of multiple time-domain samples within a time period corresponding to the transmission of an FMCW radar chirp. The phase search range can be based at least in part on the hardware capabilities associated with the radar device. As further shown in Figure 5A, the radar device can detect turning points in the phase distribution (block 525). The radar device can extract a truncated set of sampled points (block 530).

[0062] As shown in Figure 5B, Example 505 illustrates the process associated with determining the phase distribution of the received signal. As shown, the radar device can determine multiple phase angles, including the phase angle of each signal sample in multiple signal samples of the received signal (block 535). For example, in some cases, for each complex element of the input signal... The phase can be calculated as follows: , in Phase angle, expressed in radians. The angle is located at... between.

[0063] Radar equipment can correct multiple phase angles by adding correction factors (block 540). In some samples, the radar equipment can add correction factors to each of the multiple phase angles, at least in part, based on determining that the absolute jump between a phase angle and its adjacent phase angles meets a jump tolerance threshold. In this way, samples can be configured to produce smoother phase maps that may be more susceptible to the effects of the analysis described herein. For example, in some samples, when the absolute jump between consecutive elements is greater than or equal to a jump tolerance of π radians, the phase angle can be corrected by adding a multiple of ±2π.

[0064] As shown in Figure 5C, Example 510 illustrates the process associated with the turning point of the detected phase distribution. As shown, the radar device can determine the phase difference sequence of the phase distribution (block 545) based at least in part on a sliding window. In some cases, the phase difference sequence may include a sequence of -1 and -1 values. The radar device can determine the phase difference sequence by determining the sign of the difference between the phase value at a sampling point corresponding to a first time instance and the phase value at a second time instance, where the second time instance is separated from the first time instance by the length of the sliding window. In some cases, the sign of the difference between the phase value at a sampling point and the phase value at the second time instance may be based at least in part on the relationship between the time instance, the chirp length, and the turning time.

[0065] As further shown in Figure 5C, the radar device can detect differential transition points (block 550) at least partially based on the phase difference sequence. In some cases, the differential transition point corresponds to a turning point. In some cases, the sign-flipping transition point index (e.g., associated with the differential transition point) can correspond to a detection point instance based at least partially on the difference between half the chirp length and the length of the sliding window. In some cases, for example, the radar device can determine the sign-flipping transition point index at least partially based on applying a moving average window to the phase difference sequence.

[0066] As shown in Figure 5D, Example 515 illustrates the process associated with extracting a truncated set of sampling points, as illustrated in Figure 5A above. In some cases, the radar device may identify the reflected FMCW radar signal based at least in part on the extracted set of truncated sampling points, which is based at least in part on a turning point (block 555). To extract the truncated set of sampling points, the radar device may identify the start point of a frequency ramp corresponding to the transmitted FMCW radar chirp. In some cases, for example, the radar device may identify the start point based at least in part on: determining the end point of the frequency ramp based at least in part on the turning point, and determining a time period that ends at the end point of the frequency ramp and has a length corresponding to the length of the frequency ramp transmitted by the FMCW radar chirp.

[0067] As shown in the figure, the radar device can determine the acquisition quality (block 560) associated with the extracted (e.g., captured) truncated set of sampling points. In some cases, the acquisition quality can indicate the accuracy of the truncated set of sampling points. As indicated by the dashed arrow extending from block 560 back to block 555, the radar device can discard the truncated set of sampling points at least in part based on determining that the acquisition quality meets acquisition conditions (e.g., at least in part based on determining that the acquisition quality is insufficient).

[0068] For example, the acquisition condition can be a threshold value associated with one or more metrics. In some cases, for example, the radar device can determine a first ratio P1, which is a count of values ​​1 associated with a subset of truncated sample points corresponding to a first time period before a turning point, and the length of the first time period. The radar device can also determine a second ratio P2, which is a count of values ​​-1 associated with a subset of truncated sample points corresponding to a second time period after a turning point, and the length of the second time period. The radar device can determine whether either of the ratios satisfies a ratio threshold α. For example, if the radar device determines that at least one of the first or second ratios satisfies a ratio threshold (e.g., P1>α or P2>α), the radar device can discard the truncated sample point set and select a new truncated sample point set.

[0069] In some cases, low-quality acquisition may be caused by delay. In such cases, radar equipment can determine low-quality acquisition at least in part based on the fact that the differential phase values ​​before the transition point are all positive (+1) and after the transition point are all negative (-1).

[0070] In some states, radar equipment can determine delay estimates at least in part based on the phase slope. In some states, the delay estimate can be used as an estimate of the timing of reflected FMCW signals and / or interference (e.g., coupling signals). For example, in some states, during periods without a transition between ramp-up and ramp-down, the slope in the phase can indicate the delay between the original waveform and the reflected waveform. In some states, for example, phase correlation can be determined as follows: for Phase[ ]= , In smooth 2 After the jump, it can have a positive slope. ; for Phase[ ]= ; In smooth 2 After the jump, it can have a negative slope. ;or for Phase[ ]= , It can be in quadratic form, and... The slope is positive and large: ).

[0071] In some cases, the radar equipment can perform acquisition quality analysis associated with the slope-based timing estimation described above. In some cases, the slope can be estimated based on a short time series. For example, a local slope within a moving window can be estimated. The duration of the window can depend on the received signal strength (e.g., the higher the signal strength, the shorter the window length). The window length can have an upper limit and, in some cases, can be fixed. The slope can be estimated based on multiple samples within the window, and low-quality acquisition can be detected if the local slope changes more than once, or changes in the opposite direction to the expected value. In some cases, the local slope can have confidence intervals to indicate the associated accuracy level and / or confidence level.

[0072] As described above, Figures 5A-5D are provided as examples. Other examples may differ from those described with respect to Figures 5A-5D.

[0073] Figure 6 is a diagram illustrating Example 600 associated with a phase-based search procedure for radar detection according to this disclosure. As shown, Example 600 illustrates the phase distribution of an illustrative received signal.

[0074] The phase distribution shown includes the phase over time as sampled. As described above, the radar device can be configured to detect the turning point 610 of the phase distribution and, at least in part, identify the end point of the chirped ramp (e.g., the phase differential transition point) based on the identified turning point. To reduce looping, the phase can be calculated based on hardware within the range of the input signal. For example, as shown in Figure 6, the phase search range can begin after the 2000th sample.

[0075] As indicated above, Figure 6 is provided only as one or more examples. Other examples may differ from those described with respect to Figure 6.

[0076] Figure 7 is a diagram illustrating Example 700 associated with a phase-based search procedure for radar detection according to this disclosure. As shown, Example 700 illustrates a portion of the phase distribution depicted in Example 600.

[0077] As shown in the figure, a sliding window of length L can be used to determine the phase difference sequence of the phase distribution. For example, in some cases, radar equipment can use the following equation to calculate the phase difference diff(i) sequence for each point indexed by i: 710 , This will give a sequence of values ​​-1 and 1. The sign reversal can indicate a change in slope. In some cases, if k is the index of the sign reversal point and r is the slope ratio, the turnaround point (TAP) can be determined as: TAP = L . In addition, since r = (T-τ) / 2τ, TAP ≈ k + L.

[0078] As stated above, Figure 7 is provided as one or more examples. Other examples may differ from those described with respect to Figure 7.

[0079] Figure 8 is a diagram illustrating Example 800 associated with a phase-based search procedure for radar detection according to this disclosure. As shown, Example 800 illustrates a portion of the phase distribution shown in Figure 6. As shown in Figure 8, the radar device can use a moving average window of length n to find the index of the sign-to-sign inversion point k. For example, in some cases, the index of the sign-to-sign inversion point k can be at least partially based on the window sum (shown as "Window Sum"), where, .

[0080] As stated above, Figure 8 is provided as one or more examples. Other examples may differ from those described with respect to Figure 8.

[0081] Figure 9 is a diagram illustrating Example 900 associated with a phase-based search procedure for radar detection according to this disclosure. As shown, Example 900 illustrates the extraction of a truncated set of sample points. For example, the truncated set of sample points may correspond to a phase search sampling length. The set of sample points may be truncated into multiple points, which are determined to produce an extraction of a full-frequency ramp corresponding to the FMCW chirp.

[0082] As stated above, Figure 9 is provided as one or more examples. Other examples may differ from those described with respect to Figure 9.

[0083] Figure 10 is a flowchart of an example flow 1000 associated with a phase-based search procedure for radar detection. In some implementations, one or more flow blocks of Figure 10 may be executed by a radar device (e.g., radar device 105). In some implementations, one or more flow blocks of Figure 10 may be executed by another device or group of devices separate from or including the radar device (such as a wireless communication device (e.g., wireless communication device 115), a UE (e.g., UE 120), and / or a base station (e.g., base station 125)). Alternatively or additionally, one or more flow blocks of Figure 10 may be executed by one or more components of device 200 (such as processor 220, memory 230, storage component 240, input component 250, output component 260, communication interface 270, and / or phase-based search component 280).

[0084] As shown in Figure 10, process 1000 may include receiving a received signal that includes reflected FMCW radar signals and interference (block 1010). For example, a radar device may receive a received signal that includes reflected FMCW radar signals and interference, as described above.

[0085] As further shown in Figure 10, process 1000 may include at least in part based on performing a phase-based search procedure to identify reflected FMCW radar signals to facilitate the removal of interference from the received signal (block 1020). For example, the radar device may identify reflected FMCW radar signals at least in part based on performing a phase-based search procedure to facilitate the removal of interference from the received signal, as described above.

[0086] As further shown in Figure 10, process 1000 may include performing actions (block 1030) based at least in part on the characteristics of the identified reflected FMCW radar signal. For example, a radar device may perform actions based at least in part on the characteristics of the identified reflected FMCW radar signal, as described above.

[0087] Process 1000 may include other implementations, such as any single implementation or any combination of implementations of one or more other processes described below and / or in conjunction with those described elsewhere herein.

[0088] In a first embodiment, performing a phase-based search procedure includes determining a phase distribution of the received signal corresponding to a phase search range, wherein the phase distribution represents multiple phases sampled in a multiple time domain within a time period corresponding to the transmission of the FMCW radar chirp, and detecting a turning point of the phase distribution, wherein identifying the reflected FMCW radar signal includes identifying the reflected FMCW radar signal at least in part based on the turning point.

[0089] In the second embodiment, either alone or in combination with the first embodiment, the phase search range is based at least in part on the hardware capabilities associated with the radar device.

[0090] In a third embodiment, either alone or in combination with one or more of the first and second embodiments, determining the phase distribution includes determining a plurality of phase angles, the plurality of phase angles including the phase angle of each of a plurality of signal samples of the received signal, and correcting the plurality of phase angles by adding correction factors to the phase angles of the plurality of phase angles, at least in part based on determining that the absolute jump between the phase angles and adjacent phase angles satisfies a jump tolerance threshold.

[0091] In a fourth embodiment, either alone or in combination with one or more of the first to third embodiments, detecting a turning point includes determining a phase difference sequence of phase distribution based at least in part on a sliding window, and detecting a differential transition point based at least in part on the phase difference sequence, wherein the differential transition point corresponds to a turning point.

[0092] In a fifth embodiment, alone or in combination with a fourth embodiment, the phase difference sequence includes a sequence of values ​​1 and -1, and the detection of the turning point includes detecting the turning point based at least in part on the sign-reversal turning point index and the ramp ratio.

[0093] In a sixth embodiment, either alone or in combination with the sixth embodiment, determining the phase difference sequence includes: for a sampling point corresponding to a first time instance, determining the sign of the difference between the phase value at the sampling point and the phase value at a second time instance, wherein the second time instance is separated from the first time instance by a sliding window.

[0094] In a seventh embodiment, either alone or in combination with a sixth embodiment, the sign of the difference between the phase value at the sampling point and the phase value at the second time instance is based at least in part on the relationship between the time instance, the chirp length, and the turn time.

[0095] In the eighth embodiment, either alone or in combination with the seventh embodiment, the sign-to-sign inversion transition point index corresponds to a detection point instance based at least in part on the difference between half the chirp length and the length of the sliding window.

[0096] In a ninth embodiment, either alone or in combination with one or more of the fifth to eighth embodiments, process 1000 includes determining the sign-reversal index based at least in part on applying a moving average window to the phase difference sequence.

[0097] In a tenth embodiment, either alone or in combination with one or more of the first to ninth embodiments, process 1000 includes identifying the starting point of a frequency ramp corresponding to the transmitted FMCW radar chirp, wherein identifying the reflected FMCW radar signal includes identifying the reflected FMCW radar signal at least in part based on the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp.

[0098] In the eleventh embodiment, either alone or in combination with the tenth embodiment, identifying the start point of the frequency ramp includes determining the end point of the frequency ramp at least in part based on the turning point, and determining a time period that ends at the end point of the frequency ramp and has a length corresponding to the length of the frequency ramp that transmits the FMCW radar chirp.

[0099] In the twelfth embodiment, either alone or in combination with one or more of the first to eleventh embodiments, identifying reflected FMCW radar signals includes extracting a truncated set of sampling points based at least in part on the turning point.

[0100] In a thirteenth embodiment, alone or in combination with the twelfth embodiment, process 1000 includes determining capture quality, which includes determining a first ratio of values ​​1 to -1 associated with a subset of truncated sample point sets corresponding to a time period prior to the turning point, determining a second ratio of values ​​-1 to 1 associated with a subset of truncated sample point sets corresponding to a time period after the turning point, and determining that at least one of the first ratio or the second ratio satisfies a ratio threshold value.

[0101] In the fourteenth embodiment, alone or in combination with the thirteenth embodiment, process 1000 includes discarding a truncated set of sampling points based at least in part on determining that at least one of a first ratio or a second ratio meets a ratio threshold.

[0102] In the fifteenth embodiment, either alone or in combination with one or more of the first to fourteenth embodiments, the action includes determining timing information associated with the reflected FMCW radar signal.

[0103] In the sixteenth embodiment, either alone or in combination with the fifteenth embodiment, the actions include identifying interference based at least in part on timing associated with the reflected FMCW radar signal, and removing interference from the received signal.

[0104] In the seventeenth embodiment, either alone or in combination with one or more of the first to sixteenth embodiments, the action includes detecting a radar target.

[0105] In the eighteenth embodiment, either alone or in combination with one or more of the first to seventeenth embodiments, the action includes determining a delay estimate based at least in part on the slope of the phase.

[0106] In the nineteenth embodiment, alone or in combination with the eighteenth embodiment, the delay estimation includes an estimation of the timing of at least one of the reflected FMCW radar signal or interference.

[0107] In a twentieth embodiment, alone or in combination with one or more of the eighteenth to nineteenth embodiments, process 1000 includes determining a slope of a phase based at least in part on a plurality of local slopes of a phase; and determining low capture quality based at least in part on at least one of the following: determining that a first local slope among a plurality of local slopes within a moving window is different from a second local slope among a plurality of local slopes within a moving window, or determining that the difference between the first local slope among a plurality of local slopes within a moving window and the second local slope among a plurality of local slopes within a moving window indicates a change in direction different from the expected direction.

[0108] Although Figure 10 shows example blocks of process 1000, in some implementations, process 1000 may include additional blocks, fewer blocks, different blocks, or blocks arranged differently compared to those depicted in Figure 10. Alternatively, two or more blocks of process 1000 may be executed in parallel.

[0109] The following provides an overview of some of the features disclosed herein:

[0110] Sample 1: A method performed by a radar device, comprising: receiving a received signal including a frequency-modulated continuous wave (FMCW) radar signal and interference; identifying the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of interference from the received signal; and performing an action at least in part based on the characteristics of the identified reflected FMCW radar signal.

[0111] State 2: According to the method of State 1, wherein performing a phase-based search procedure includes: determining a phase distribution of a received signal corresponding to a phase search range, wherein the phase distribution represents multiple phases of multiple time-domain samples within a time period corresponding to the transmission of an FMCW radar chirp; and detecting a turning point of the phase distribution, wherein identifying a reflected FMCW radar signal includes identifying a reflected FMCW radar signal based at least in part on a turning point.

[0112] State 3: According to the method of State 2, the phase search range is based at least in part on the hardware capabilities associated with the radar equipment.

[0113] State 4: The method according to either State 2 or 3, wherein determining the phase distribution includes: determining a plurality of phase angles, the plurality of phase angles including the phase angle of each of a plurality of signal samples of a received signal; and correcting the plurality of phase angles by adding a correction factor to the phase angles of the plurality of phase angles, based at least in part on the determination that the absolute jump between the phase angles and adjacent phase angles satisfies the jump tolerance threshold.

[0114] State 5: The method according to any one of states 2-4, wherein detecting the turning point includes: determining the phase difference sequence of the phase distribution based at least in part on a sliding window; and detecting the differential transition point based at least in part on the phase difference sequence, wherein the differential transition point corresponds to the turning point.

[0115] State 6: According to the method of State 5, wherein the phase difference sequence comprises a sequence of values ​​1 and -1, and wherein the detection of the turning point comprises detecting the turning point based at least in part on the sign-reversal turning point index and the ramp ratio.

[0116] State 7: According to the method of State 6, determining the phase difference sequence includes: for a sampling point corresponding to the first time instance, determining the sign of the difference between the phase value at the sampling point and the phase value at the second time instance, wherein the second time instance is separated from the first time instance by a sliding window.

[0117] State 8: According to the method of State 7, the sign of the difference between the phase value at the sampling point and the phase value at the second time instance is based at least in part on the relationship between the time instance, the chirp length, and the turn time.

[0118] State 9: According to the method of State 8, where the sign-to-sign inversion transition point index corresponds to the detection point instance, and the detection point instance is based at least in part on the difference between half of the chirp length and the length of the sliding window.

[0119] Sample 10: The method according to any one of Samples 6-9 further includes determining the sign reversal index based at least in part on applying a moving average window to the phase difference sequence.

[0120] Sample 11: The method according to any one of Samples 2-10 further includes identifying the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp, wherein identifying the reflected FMCW radar signal includes identifying the reflected FMCW radar signal at least in part based on the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp.

[0121] State 12: According to the method of State 11, identifying the starting point of the frequency ramp includes: determining the ending point of the frequency ramp at least in part based on the turning point; and determining a time period that ends at the ending point of the frequency ramp and has a length corresponding to the length of the frequency ramp that transmits the FMCW radar chirp.

[0122] Sample 13: The method according to any one of Samples 2-12, wherein identifying the reflected FMCW radar signal includes extracting a truncated set of sampling points based at least in part on the turning point.

[0123] State 14: The method according to State 13 further includes determining the capture quality, which includes: determining a first ratio of a value 1 associated with a subset of truncated sample points corresponding to a first time period before the turning point to the length of the first time period; determining a second ratio of a value -1 associated with a subset of truncated sample points corresponding to a second time period after the turning point to the length of the second time period; and determining that at least one of the first ratio or the second ratio satisfies a ratio threshold value.

[0124] State 15: According to the method of State 14, it further includes discarding the truncated set of sampling points based at least in part on determining that at least one of the first ratio or the second ratio satisfies a ratio threshold.

[0125] State 16: The method according to any one of states 1-15, wherein the action includes determining timing information associated with the reflected FMCW radar signal.

[0126] State 17: The method according to State 16, wherein the actions performed include: identifying interference based at least in part on timing associated with the reflected FMCW radar signal; and removing interference from the received signal.

[0127] State 18: The method according to any one of states 1-17, wherein the action performed includes detecting a radar target.

[0128] State 19: The method according to any one of states 1-18, wherein performing the action includes determining the delay estimate based at least in part on the slope of the phase.

[0129] Sample 20: According to the method of Sample 19, wherein the delay estimation includes an estimation of the timing of at least one of the reflected FMCW radar signal or interference.

[0130] State 21: The method according to any one of state 19 or 20 further includes: determining the slope of the phase based at least in part on a plurality of local slopes that determine the phase; and determining low capture quality based at least in part on at least one of the following: determining that a first local slope among a plurality of local slopes within a moving window is different from a second local slope among a plurality of local slopes within a moving window, or determining that the difference between the first local slope among a plurality of local slopes within a moving window and the second local slope among a plurality of local slopes within a moving window indicates a change in direction different from the expected direction.

[0131] State 22: An apparatus for wireless communication at a device, comprising: a processor; memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform a method of one or more states of states 1-21.

[0132] State 23: A device for wireless communication, including a memory and one or more processors coupled to the memory, the memory and the one or more processors being configured to perform a method of one or more states of states 1-21.

[0133] Format 24: An apparatus for wireless communication, comprising at least one component for performing a method of one or more formats of formats 1-21.

[0134] Format 25: A non-transitory computer-readable medium storing code for wireless communication, the code including instructions executable by a processor to perform methods of one or more of formats 1-21.

[0135] Sample 26: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set including one or more instructions, which, when executed by one or more processors of the device, cause the device to perform one or more of the methods of Samples 1-21.

[0136] The foregoing disclosure provides explanations and descriptions, but is not intended to be exhaustive or to limit the various forms to the precise forms disclosed. Modifications and variations can be made based on the foregoing disclosure, or modifications and variations can be derived from the practice of the various forms.

[0137] As used herein, the term "component" is intended to be interpreted broadly as hardware, firmware, and / or a combination of hardware and software. As used herein, a processor is implemented as hardware, firmware, and / or a combination of hardware and software. It will be apparent that the systems and / or methods described herein can be implemented in various forms of hardware, firmware, and / or combinations of hardware and software. The actual dedicated control hardware or software code used to implement these systems and / or methods is not limited to these forms. Therefore, this document describes the operation and behavior of systems and / or methods without reference to any specific software code—it should be understood that software and hardware can be designed to implement systems and / or methods, at least in part, based on the descriptions herein.

[0138] As used in this article, depending on the context, satisfying the threshold value can mean that the value is greater than the threshold value, greater than or equal to the threshold value, less than the threshold value, less than or equal to the threshold value, equal to the threshold value, or not equal to the threshold value.

[0139] Even if a specific combination of features is described in the claim and / or disclosed in the specification, such combinations are not intended to limit the disclosure of individual states. In fact, many of these features can be combined in ways not specifically described in the claims and / or disclosed in the specification. Although each subsidiary claim listed below may be directly subordinate to only one claim, the disclosure of individual states includes combinations of each subsidiary claim with every other claim in the claim set. As used herein, the phrase “at least one” in the list of items refers to any combination of these items, including single members. As an example, “at least one of a, b, or c” is intended to cover a, b, c, ab, ac, bc, and abc, as well as any combination having multiple identical elements (e.g., aa, aaa, aab, aac, abb, acc, bb, bbb, bbc, cc, and ccc, or any other order of a, b, and c).

[0140] Unless explicitly stated otherwise, the elements, actions, or instructions used herein should not be construed as critical or necessary. Furthermore, as used herein, the articles “a” and “an” are intended to include one or more items and may be used interchangeably with “one or more.” Furthermore, as used herein, the article “the” is intended to include one or more items referenced in combination with the article “the” and may be used interchangeably with “the one or more.” Furthermore, as used herein, the terms “set” and “group” are intended to include one or more items (e.g., related items, unrelated items, or a combination of related and unrelated items) and may be used interchangeably with “one or more.” Where only one item is anticipated, the phrase “only one” or similar language is used. Furthermore, as used herein, the terms “have,” “possess,” “own,” etc., are intended to be open-ended terms. Furthermore, unless explicitly stated otherwise, the phrase “based on” is intended to mean “at least partially based on.” Furthermore, as used herein, the term “or” when used in series is intended to be inclusive and may be used interchangeably with “and / or” unless explicitly stated otherwise (e.g., if used in combination with “any one” or “only one”).

[0141] 100: Environment 105: Radar Equipment 135: Signal Generator 140: Sending Chain 150: Receive Chain 160: Target Detection Component 165: Phase-based search engine 110: Target 115: Wireless communication equipment 120: User Equipment 125: Base Station 130: Internet 145: Radar signal 155: Receiving Signal 200: Equipment 210: Busbar 220: Processor 230: Memory 240: Storage component 250: Input component 260: Output Component 270: Communication Interface 280: Phase-based search component 300: Example 305:FMCW chirp 310: Reflected signal 315: Beat frequency 400: Example 410: Receiving Signals 420: Bias Correction 430: Phase-based search procedure 440: Cut off 450: Reflected FMCW signal 500: Example 505: Example 510: Example 515: Example 520: Square 525: Square 530: Square 535: Square 540: Square 545: Square 550: Square 555: Square 560: Square 600: Example 610: Turning Point 700: Example 710: Phase Difference Sequence 800: Example 900: Example 1000: Process 1010: Square 1020: Square 1030: Square

Claims

1. A method performed by a radar device, comprising: The receiver receives a received signal comprising a reflected frequency-modulated continuous wave (FMCW) radar signal and interference, the FMCW radar signal having a frequency that increases from a first frequency to a second frequency and then decreases from the second frequency to the first frequency; identifies the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of the interference from the received signal; and performs actions at least in part based on the characteristics of the identified reflected FMCW radar signal.

2. The method as described in request item 1, wherein, Performing the phase-based search procedure includes: determining a phase distribution of the received signal corresponding to a phase search range, wherein the phase distribution represents multiple phases sampled in a multiple time domain within a time period corresponding to the transmission of an FMCW radar chirp; and detecting a turning point of the phase distribution, wherein identifying the reflected FMCW radar signal includes identifying the reflected FMCW radar signal at least in part based on the turning point.

3. The method as described in claim 2, wherein, The phase search range is based, at least in part, on the hardware capabilities associated with the radar device.

4. The method as described in claim 2, wherein, Determining the phase distribution includes: determining a plurality of phase angles, the plurality of phase angles including the phase angle of each of the plurality of signal samples of the received signal; and correcting the plurality of phase angles at least in part based on: determining an absolute jump between the phase angles and adjacent phase angles, satisfying a jump tolerance threshold value, and correcting the plurality of phase angles by adding a correction factor to the phase angles among the plurality of phase angles.

5. The method as described in claim 2, wherein, Detecting the turning point includes: determining a phase difference sequence of the phase distribution based at least in part on a sliding window; and detecting a differential transition point based at least in part on the phase difference sequence, wherein the differential transition point corresponds to the turning point.

6. The method as described in claim 5, wherein, The phase difference sequence includes a sequence of values ​​1 and -1, and wherein detecting the turning point includes detecting the turning point at least in part based on the sign-reversal index and the ramp ratio.

7. The method as described in claim 6, wherein, Determining the phase difference sequence includes: for a sampling point corresponding to a first time instance, determining the sign of the difference between the phase value at the sampling point and the phase value at a second time instance, wherein the second time instance is separated from the first time instance by the length of the sliding window.

8. The method as described in request item 7, wherein, The sign of the difference between the phase value at the sampling point and the phase value at the second time instance is based, at least in part, on the relationship between the chirp length and the turn time.

9. The method as described in claim 8, wherein, The sign-to-sign inversion index corresponds to a detection point instance, which is at least partially based on the difference between half the chirp length and the length of the sliding window.

10. The method as described in claim 6, further comprising: The index of the sign reversal point is determined at least in part based on applying a moving average window to the phase difference sequence.

11. The method as described in claim 2, further comprising: Identifying the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp, wherein identifying the reflected FMCW radar signal includes: identifying the reflected FMCW radar signal at least in part based on the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp.

12. The method as described in claim 11, wherein, Identifying the start point of the frequency ramp includes: determining the end point of the frequency ramp based at least in part on the turning point; and determining a time period that ends at the end point of the frequency ramp and has a length corresponding to the length of the frequency ramp transmitting the FMCW radar chirp.

13. The method as described in claim 2, wherein, Identifying the reflected FMCW radar signal includes extracting a truncated set of sampling points, at least in part based on the turning point.

14. The method as described in claim 13, further comprising determining the capture quality, including: Determine a value 1 associated with a subset of the truncated set of sampling points corresponding to a first time period prior to the turning point, and a first ratio to the length of the first time period; determine a value -1 associated with a subset of the truncated set of sampling points corresponding to a second time period after the turning point, and a second ratio to the length of the second time period; and determine that at least one of the first ratio or the second ratio satisfies a ratio threshold value.

15. The method as described in claim 14, further comprising: At least in part, based on: determining that at least one of the first ratio or the second ratio satisfies the ratio threshold, the truncated set of sampling points is discarded.

16. The method as described in claim 1, wherein, Performing the action includes determining timing information associated with the reflected FMCW radar signal.

17. The method as described in claim 16, wherein, Performing the action includes: identifying the interference based at least in part on the timing associated with the reflected FMCW radar signal; and removing the interference from the received signal.

18. The method as described in claim 1, wherein, Performing the aforementioned action includes detecting radar targets.

19. The method as described in claim 1, wherein performing the action comprises: The delay estimate is determined at least in part based on the slope of the phase.

20. The method as described in claim 19, wherein, The delay estimation includes: an estimation of the timing of at least one of the reflected FMCW radar signal or the interference.

21. The method as described in claim 19, further comprising: The slope of the phase is determined at least in part based on a plurality of local slopes of the phase; and low capture quality is determined at least in part based on at least one of the following: determining a first local slope among the plurality of local slopes within the moving window, which is different from a second local slope among the plurality of local slopes within the moving window, or determining the difference between the first local slope among the plurality of local slopes within the moving window and the second local slope among the plurality of local slopes within the moving window, indicating a change in a direction different from the expected direction.

22. A radar device for wireless communication, comprising: Memory; And one or more processors, coupled to the memory, are configured to: receive a received signal comprising a reflected frequency-modulated continuous wave (FMCW) radar signal and interference, the FMCW radar signal having a frequency that increases from a first frequency to a second frequency and then decreases from the second frequency to the first frequency; identify the reflected FMCW radar signal at least in part based on performing a phase-based search procedure to facilitate the removal of the interference from the received signal; and perform actions at least in part based on the characteristics of the identified reflected FMCW radar signal.

23. The radar device as claimed in claim 22, wherein, To execute the phase-based search procedure, the one or more processors are configured to: determine a phase distribution of the received signal corresponding to a phase search range, wherein the phase distribution represents multiple phases sampled in a multiple time domain within a time period corresponding to the transmission of an FMCW radar chirp; and detect a turning point of the phase distribution, wherein, in order to identify the reflected FMCW radar signal, the one or more processors are configured to: identify the reflected FMCW radar signal at least in part based on the turning point.

24. The radar device as claimed in claim 23, wherein, The phase search range is based, at least in part, on the hardware capabilities associated with the radar device.

25. The radar device as claimed in claim 23, wherein, To determine the phase distribution, the one or more processors are configured to: determine a plurality of phase angles, the plurality of phase angles including: the phase angle of each of a plurality of signal samples of the received signal; and correct the plurality of phase angles at least in part based on: determining an absolute jump between the phase angles and adjacent phase angles, satisfying a jump tolerance threshold value, by adding a correction factor to the phase angles of the plurality of phase angles.

26. The radar device as claimed in claim 23, wherein, In order to detect the turning point, the one or more processors are configured to: determine a phase difference sequence of the phase distribution based at least in part on a sliding window; and detect a differential transition point based at least in part on the phase difference sequence, wherein the differential transition point corresponds to the turning point.

27. The radar device as claimed in claim 26, wherein, The phase difference sequence includes a sequence of values ​​1 and -1, and wherein detecting the turning point includes: detecting the turning point based at least in part on the sign-reversal turning point index and the ramp ratio.

28. The radar device as claimed in claim 27, wherein, Determining the phase difference sequence includes: for a sampling point corresponding to a first time instance, determining the sign of the difference between the phase value at the sampling point and the phase value at a second time instance, wherein the second time instance is separated from the first time instance by the length of the sliding window.

29. The radar device as claimed in claim 28, wherein, The sign of the difference between the phase value at the sampling point and the phase value at the second time instance is based at least in part on the relationship between the chirp length and the turn time.

30. The radar device as claimed in claim 29, wherein, The sign-to-sign inversion transition point index corresponds to a detection point instance, which is at least partially based on the difference between half the chirp length and the length of the sliding window.

31. The radar device as claimed in claim 27, wherein, The one or more processors are further configured to determine the sign-to-sign reversal point index based at least in part on applying a moving average window to the phase difference sequence.

32. The radar device as claimed in claim 23, wherein, The one or more processors are further configured to: identify the starting point of a frequency ramp corresponding to the transmitted FMCW radar chirp, wherein identifying the reflected FMCW radar signal includes: identifying the reflected FMCW radar signal at least in part based on the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp.

33. The radar device as claimed in claim 32, wherein, In order to identify the starting point of the frequency ramp, the one or more processors are configured to: determine the ending point of the frequency ramp based at least in part on the turning point; and determine a time period that ends at the ending point of the frequency ramp and has a length corresponding to the length of the frequency ramp transmitting the FMCW radar chirp.

34. The radar device as claimed in claim 23, wherein, In order to identify the reflected FMCW radar signal, the one or more processors are configured to extract a truncated set of sampling points based at least in part on the turning point.

35. The radar device as claimed in claim 34, wherein, The one or more processors are further configured to determine capture quality, including: determining a value 1 associated with a subset of the truncated set of sample points corresponding to a first time period prior to the turning point, in a first ratio to the length of the first time period; determining a value -1 associated with a subset of the truncated set of sample points corresponding to a second time period after the turning point, in a second ratio to the length of the second time period; and determining that at least one of the first ratio or the second ratio satisfies a ratio threshold.

36. The radar device as claimed in claim 35, wherein, The one or more processors are further configured to discard the truncated set of sample points at least in part based on determining that at least one of the first ratio or the second ratio satisfies the ratio threshold.

37. The radar device as claimed in claim 22, wherein, In order to perform the action, the one or more processors are configured to determine timing information associated with the reflected FMCW radar signal.

38. The radar device as claimed in claim 37, wherein, In order to perform the action, the one or more processors are configured to: identify the interference based at least in part on the timing associated with the reflected FMCW radar signal; and remove the interference from the received signal.

39. The radar device as claimed in claim 22, wherein, In order to perform the action, the one or more processors are configured to detect radar targets.

40. A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising: One or more instructions, when executed by one or more processors of a radar device, cause the radar device to: receive a received signal comprising a reflected frequency-modulated continuous wave (FMCW) radar signal and interference, the FMCW radar signal having a frequency that increases from a first frequency to a second frequency and then decreases from the second frequency to the first frequency; identify the reflected FMCW radar signal, at least in part based on performing a phase-based search procedure, to facilitate the removal of the interference from the received signal; and perform an action, at least in part based on the characteristics of the identified reflected FMCW radar signal.

41. The non-transitory computer-readable medium as described in claim 40, wherein, The radar device executes one or more instructions of the phase-based search procedure, causing the radar device to: determine the phase distribution of the received signal corresponding to the phase search range, wherein the phase distribution represents: multiple phases sampled in multiple time domains within a time period corresponding to the transmission of an FMCW radar chirp; and detect a turning point of the phase distribution, wherein the one or more instructions causing the radar device to identify the reflected FMCW radar signal cause the radar device to: identify the reflected FMCW radar signal at least in part based on the turning point.

42. The non-transitory computer-readable medium as described in claim 41, wherein, The one or more instructions further cause the radar device to: identify the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp, wherein identifying the reflected FMCW radar signal includes: identifying the reflected FMCW radar signal at least in part based on the starting point of the frequency ramp corresponding to the transmitted FMCW radar chirp.

43. The non-transitory computer-readable medium as described in claim 42, wherein, The one or more instructions that enable the radar device to identify the start point of the frequency ramp cause the radar device to: determine the end point of the frequency ramp based at least in part on the turning point; and determine a time period that ends at the end point of the frequency ramp and has a length corresponding to the length of the frequency ramp that transmits the FMCW radar chirp.

44. The non-transitory computer-readable medium as described in claim 41, wherein, The radar device is made to recognize one or more instructions regarding the reflected FMCW radar signal, and the radar device is made to extract a truncated set of sampling points, at least in part based on the turning point.

45. The non-transitory computer-readable medium as described in claim 40, wherein, The radar device is instructed to execute one or more of the actions, causing the radar device to: determine timing information associated with the reflected FMCW radar signal.

46. ​​The non-transitory computer-readable medium as described in claim 45, wherein, The one or more instructions that cause the radar device to perform the action cause the radar device to: identify the interference based at least in part on the timing associated with the reflected FMCW radar signal; and remove the interference from the received signal.

47. The non-transitory computer-readable medium as described in claim 40, wherein, The radar device executes one or more instructions to perform the action, thereby enabling the radar device to detect radar targets.

48. An apparatus for wireless communication, comprising: Components for receiving a received signal including a reflected frequency-modulated continuous wave (FMCW) radar signal and interference, the FMCW radar signal having a frequency that increases from a first frequency to a second frequency and then decreases from the second frequency to the first frequency; components for identifying the reflected FMCW radar signal, at least in part based on performing a phase-based search procedure, to facilitate the removal of the interference from the received signal; and components for performing an action, at least in part based on the characteristics of the identified reflected FMCW radar signal.

49. The apparatus as claimed in claim 48, wherein, The components for executing the phase-based search procedure include: components for determining a phase distribution of the received signal corresponding to a phase search range, wherein the phase distribution represents multiple phases sampled in a multiple time domain within a time period corresponding to the transmission of an FMCW radar chirp; and components for detecting turning points of the phase distribution, wherein the components for identifying the reflected FMCW radar signal include: components for identifying the reflected FMCW radar signal at least in part based on the turning points.

50. The apparatus as claimed in claim 49, wherein, The phase search range is based, at least in part, on the hardware capabilities associated with the device.

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