Signal identification method, electronic device, readable medium and program product
By calculating the ratio of peak and trough energy parameters of the signal and comparing it with a threshold, the accuracy problem of identifying double-chirped signals in communication systems is solved, improving recognition efficiency and accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2026-04-07
AI Technical Summary
Existing technologies struggle to effectively identify dual-chirped signals, especially when implementing frequency correction and timing functions in communication systems, requiring the receiver to employ an accurate identification scheme.
By acquiring the peak and valley positions of the signal's energy parameters, calculating the ratio of the total energy parameter values of the peaks and valleys, and comparing it with a threshold, it can be determined whether the signal is a double-chirped signal.
It improves the accuracy and efficiency of identifying dual-chirp signals, reduces the probability of false alarms, and is suitable for various communication system terminal devices.
Smart Images
Figure CN121814519A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of detection technology, and in particular to a signal identification method, electronic device, computer program product, and computer-readable storage medium. Background Technology
[0002] Dual-chirp signals are widely used in communications. For example, in radar, laser communication, and sonar systems, the receiver can use dual-chirp signals to achieve functions such as frequency correction and timing. As another example, in satellite communication systems, network equipment and terminals can use dual-chirp signals to achieve downlink synchronization.
[0003] To enable the receiver to perform functions such as frequency domain correction, timing, and downlink synchronization, the receiver needs to identify double-chirped signals. Therefore, an identification scheme is urgently needed to identify double-chirped signals. Summary of the Invention
[0004] This application provides a signal identification method, electronic device, computer program product, and computer-readable storage medium that can identify double-chirped signals in received signals.
[0005] To achieve the above objectives, this application provides the following technical solution:
[0006] In a first aspect, this application provides a signal identification method, comprising: acquiring a first signal; sampling the first signal based on the peak and valley positions of the energy parameters of a double-chirped signal to determine multiple peak positions and multiple valley positions of the first signal; calculating the ratio of the total value of the energy parameters of the peaks to the total value of the energy parameters of the valleys of the first signal; the total value of the energy parameters of the peaks refers to the cumulative value of the energy parameters of the first signal at multiple peak positions, and the total value of the energy parameters of the valleys refers to the cumulative value of the energy parameters of the first signal at multiple valley positions; and obtaining an identification result of whether the first signal includes a double-chirped signal based on the comparison relationship between the ratio and a threshold.
[0007] In some embodiments, the threshold is used to indicate the ratio of the total value of the energy parameter at the peak position to the total value of the energy parameter at the trough position of the noise signal. By comparing the ratio with the threshold, it is possible to identify whether the first signal is a noise signal. If the first signal is not a noise signal, it can be understood that the first signal is a double-chirped signal.
[0008] In the above technical solution, based on the peak and valley positions of the energy parameters of the double-chirped signal, the first signal is sampled to determine multiple peak and valley positions of the first signal. This allows us to obtain the sampling points of the first signal at the peak and valley positions of the energy parameters of the double-chirped signal. However, these sampling points are not necessarily the actual peaks and valleys of the first signal's energy parameters. When the first signal is a double-chirped signal, the sampling points belong to the actual peaks and valleys of the first signal's energy parameters; otherwise, they do not. The total energy parameter value of the peaks and the total energy parameter value of the valleys of the double-chirped signal differ significantly. Therefore, the ratio of the total energy parameter value of the peaks to the total energy parameter value of the valleys of the first signal is compared with a threshold value to determine whether there is a significant difference between the total energy parameter values of the peaks and the valleys of the first signal. If a significant difference exists, it is determined that the first signal includes a double-chirped signal, thus achieving the identification of whether a signal contains a double-chirped signal.
[0009] Based on the first aspect, in one possible implementation, the ratio is the peak-to-valley ratio of the total energy parameters of the first signal, wherein: based on the comparison relationship between the ratio and a threshold, the identification result of whether the first signal includes a double-chirped signal is obtained, including: if the ratio is greater than or equal to the threshold of the peak-to-valley ratio, it is determined that the first signal includes a double-chirped signal; otherwise, it is determined that the first signal does not include a double-chirped signal.
[0010] Based on the first aspect, in one possible implementation, the ratio is the peak-valley ratio of the total energy parameter of the first signal, wherein: based on the comparison relationship between the ratio and the threshold, the identification result of whether the first signal includes a double-chirped signal is obtained, including: if the ratio is less than or equal to the peak-valley ratio threshold, it is determined that the first signal includes a double-chirped signal; otherwise, it is determined that the first signal does not include a double-chirped signal.
[0011] Based on the first aspect, in one possible implementation, the first signal refers to a signal with a preset time domain length. Identifying whether the first signal includes a double-chirped signal using a signal with a preset time domain length can improve detection efficiency.
[0012] Based on the first aspect, in one possible implementation, the first signal includes multiple signals of preset time domain length, and the multiple signals of preset time domain length originate from the same signal; the method further includes: in the case where the identification result of whether the multiple signals of preset time domain length include a double-chirped signal indicates that the signals of preset time domain length include a double-chirped signal, determining that the signal with the largest ratio among the multiple signals of preset time domain length includes a double-chirped signal.
[0013] Since the threshold has a certain false alarm probability, the comparison relationship between the ratio of a signal with a preset time domain length and the threshold indicates that the signal with the preset time domain length, including double-chirped signals, has a certain probability of being misidentified. Therefore, double-chirped signals can be identified based on multiple signals with preset time domain lengths, and the signal with the largest ratio can be selected as the double-chirped signal, which can enhance the accuracy of identification.
[0014] Based on the first aspect, in one possible implementation, the first signal includes multiple signals; the method further includes: obtaining a cumulative value of the ratio of the total energy parameter of the peaks to the total energy parameter of the troughs of the multiple signals; and obtaining an identification result of whether the first signal includes a double-chirped signal based on a comparison relationship between the ratio and a threshold, including: obtaining an identification result of whether the multiple signals include a double-chirped signal based on a comparison relationship between the cumulative value of the ratio and a threshold. In some embodiments, the first signal is a first signal received by multiple antennas.
[0015] Based on the first aspect, in one possible implementation, the threshold calculation method includes: acquiring a noise signal; sampling the noise signal based on the peak and valley positions of the energy parameters of the dual-chirped signal to determine multiple peak positions and multiple valley positions of the noise signal; calculating the ratio of the total value of the energy parameters of the peaks to the total value of the energy parameters of the valleys of the noise signal; the total value of the energy parameters of the peaks refers to the cumulative value of the energy parameters of the noise signal at multiple peak positions, and the total value of the energy parameters of the valleys refers to the cumulative value of the energy parameters of the noise signal at multiple valley positions.
[0016] Based on the first aspect, in one possible implementation, the noise signal includes multiple noise signals, and the threshold calculation method further includes: determining the ratio of the distribution of the ratios of the multiple noise signals to reach a predetermined percentage as the threshold.
[0017] Based on the first aspect, in one possible implementation, the energy parameters include power and / or amplitude.
[0018] In a second aspect, this application provides an electronic device, including: one or more processors, a memory, and a display screen; the memory and the display screen are coupled to one or more processors, the memory is used to store computer program code, the computer program code including computer instructions, and when one or more processors execute the computer instructions, the electronic device performs a signal identification method as described in any one of the first aspects and its possible embodiments.
[0019] Thirdly, this application provides a computer-readable storage medium for storing a computer program, which, when executed, is specifically used to implement the signal recognition method as described in any one of the first aspects and its possible embodiments.
[0020] Fourthly, this application provides a computer program product that, when run on a computer, causes the computer to perform a signal recognition method as described in any one of the first aspects and its possible embodiments. Attached Figure Description
[0021] Figure 1 A waveform diagram illustrating the dual-chirped signal provided in an embodiment of this application;
[0022] Figure 2 A flowchart illustrating the signal identification method provided in this application embodiment;
[0023] Figure 3 An updated illustration of the sliding detection window provided in an embodiment of this application;
[0024] Figure 4 The following diagram illustrates the simulation results of the scheme for recognizing dual-chirped signals provided in the embodiments of this application.
[0025] Figure 5 A flowchart illustrating the threshold calculation method provided in this application embodiment;
[0026] Figure 6 This diagram illustrates the simulation results of a dual-chirped signal for a single-antenna transmitted signal, as provided in an embodiment of this application.
[0027] Figure 7 A flowchart illustrating the signal identification method provided in this application embodiment;
[0028] Figure 8 The figure shows the simulation results of dual-chirped signals for signals transmitted by two antennas, as provided in the embodiments of this application.
[0029] Figure 9 This is an illustration of the frequency offset range defined in an embodiment of this application.
[0030] Figure 10 This is a hardware structure diagram of the electronic device provided in the embodiments of this application. Detailed Implementation
[0031] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. The terminology used in the following embodiments is for the purpose of describing specific embodiments only and is not intended to be a limitation of this application. As used in the specification and appended claims of this application, the singular expressions "a," "an," "the," "the," "the," and "this" are intended to also include expressions such as "one or more," unless the context clearly indicates otherwise. It should also be understood that in the embodiments of this application, "one or more" refers to one, two, or more; "and / or" describes the relationship between related objects, indicating that three relationships may exist; for example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.
[0032] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.
[0033] The "multiple" mentioned in the embodiments of this application refers to two or more. It should be noted that in the description of the embodiments of this application, terms such as "first" and "second" are used only for the purpose of distinguishing descriptions and should not be construed as indicating or implying relative importance, nor should they be construed as indicating or implying order.
[0034] Dual-chirp signals are widely used in communications. For example, in communication systems such as radar, laser communication, and sonar, the signal receiver can utilize dual-chirp signals to achieve functions such as frequency correction and timing.
[0035] As another example, in a satellite communication system, network devices and terminals can achieve downlink synchronization based on dual-chirped signals. The network device transmits a reference signal, which may include a dual-chirped signal; the terminal searches for the dual-chirped signal, and after the terminal finds the dual-chirped signal, it can determine the frequency domain information and time domain information of the reference signal transmitted by the network device based on the dual-chirped signal.
[0036] In order for the signal receiver to perform functions such as frequency domain correction, timing, and downlink synchronization, the receiver needs to correctly identify the double-chirped signal. Based on this, the embodiments of this application provide a signal identification scheme, which enables the terminal to correctly identify the double-chirped signal.
[0037] The following section will introduce some characteristics of double-chirped signals.
[0038] The mathematical expression of a double-chirped signal is shown in Equation 1. It is usually the superposition of two chirped signals with opposite frequency sweeps.
[0039]
[0040] Figure 1 The time-domain and frequency-domain diagrams of the double-chirped signal are shown.
[0041] by Figure 1 Taking the time-domain waveform of the double-chirped signal shown in (a) as an example, the double-chirped signal has the characteristic of high frequency at both ends and low frequency in the middle, such as... Figure 1 As shown in Figure (a), the amplitude A of the double-chirped signal changes rapidly and has a high frequency during time periods T1 and T3; while during time period T2, the amplitude A of the double-chirped signal remains basically unchanged and has a low frequency.
[0042] Therefore, the receiver can perform envelope detection based on the aforementioned characteristics of dual-chirped signals to identify whether the received signal is a chirped signal. Furthermore, the receiver's method of identifying dual-chirped signals based on envelope detection also has the advantage of insensitivity of the envelope value to frequency offset.
[0043] The following combination Figure 2 The method for identifying signals provided in the embodiments of this application will be described.
[0044] The signal identification method provided in this application can be applied to the receiving end of a communication system. The receiving end is typically a terminal, which can take various forms, such as a mobile phone, tablet computer, computer with wireless transceiver capabilities, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal in industrial control, vehicle-mounted terminal device, wireless terminal in self-driving, wireless terminal in remote medical care, wireless terminal in smart grid, wireless terminal in transportation safety, wireless terminal in smart city, wireless terminal in smart home, wearable terminal device, etc. A terminal can also be referred to as terminal equipment, user equipment (UE), access terminal equipment, vehicle-mounted terminal, industrial control terminal, UE unit, UE station, mobile station, mobile station, remote station, remote terminal equipment, mobile device, UE terminal equipment, wireless communication equipment, UE agent, or UE device, etc. A terminal can also be a fixed terminal or a mobile terminal.
[0045] like Figure 2 As shown, the signal identification method provided in this application embodiment is applied to the terminal mentioned above, and the identification method includes:
[0046] S201. Receive the first signal and number the first signal.
[0047] As the receiving end of a communication system, the terminal can receive signals sent by the transmitting end (such as network equipment such as base stations and satellites). For ease of explanation, the signal received by the terminal in this embodiment is referred to as the first signal.
[0048] Taking downlink synchronization between network devices and terminals as an example, the sending end sends a first signal to the terminal, which includes a double-chirped signal. The terminal receives the first signal and needs to detect the double-chirped signal in the first signal to determine whether the first signal includes the double-chirped signal, and can also determine the position of the double-chirped signal in the first signal.
[0049] The terminal receives a first signal and numbers it. In some embodiments, the terminal numbers the first signal by sampling the first signal to obtain multiple samples, and then numbering the samples according to their timestamps. For example, the samples are numbered from 1 to L, where L is an integer greater than 1.
[0050] In some embodiments, the terminal samples the first signal based on the frequency of the dual-chirped signal to obtain multiple samples. In some embodiments, the terminal determines the positions of multiple peaks and valleys of the dual-chirped signal based on the frequency of the dual-chirped signal, and the positions of these peaks and valleys are used as the sampling positions.
[0051] In some embodiments, a peak may refer to the sample with the largest amplitude or the largest power in the double-chirped signal; similarly, a trough may refer to the sample with the smallest amplitude or the smallest power in the double-chirped signal.
[0052] In other embodiments, a peak may refer to a sample in the double-chirped signal whose amplitude value is greater than a first threshold, or whose power value is greater than a second threshold; similarly, a trough may refer to a sample in the double-chirped signal whose amplitude value is less than a third threshold, or whose power value is less than a fourth threshold. The first threshold is greater than the third threshold, and the second threshold is greater than the fourth threshold.
[0053] It can be understood that power and amplitude are energy parameters of a signal, indicating the energy of the signal.
[0054] S202. Record the positions of multiple peaks and multiple troughs in the first signal.
[0055] In some embodiments, recording the positions of multiple peaks and multiple troughs in the first signal can refer to recording the numbering of multiple peaks and multiple troughs in the first signal.
[0056] Taking the amplitude of the first signal sample as an example, the peaks and valleys are defined as follows in formulas 2 and 3, respectively;
[0057]
[0058] In Formula 2, PeakTh is the second threshold, and t Pk The peak sample is the first signal; in Formula 3, ValleyTh is the fourth threshold, t vk This is a trough sample in the first signal.
[0059] In the example, the set of locations of the peak samples in the first signal is:
[0060] PeakPos = {p0, p1, p2, ..., p} m}
[0061] The set of locations of the trough samples in the first signal is:
[0062] ValleyPos = {v0, v1, v2, ..., v} n}
[0063] Where m and n are both integers greater than 2.
[0064] S203. The power or amplitude of multiple peaks of the sliding detection window in the first signal is accumulated and calculated to obtain the total power or amplitude of the peaks; and the power or amplitude of multiple troughs of the sliding detection window is accumulated and calculated to obtain the total power or amplitude of the troughs.
[0065] In this embodiment, the terminal can determine whether the first signal includes a double-chirped signal based on the total power of the signal's peaks and troughs, or it can determine whether the first signal includes a double-chirped signal based on the total amplitude of the signal's peaks and troughs. In some embodiments, the terminal can comprehensively determine whether the first signal includes a double-chirped signal based on both the total power of the signal's peaks and troughs and the total amplitude of the signal's peaks and troughs.
[0066] This embodiment uses the total power of the signal peaks and troughs, or the total amplitude of the signal peaks and troughs, to evaluate whether the first signal includes a double-chirped signal.
[0067] The terminal can continuously receive signals sent by the transmitter, thus the time domain length of the first signal received by the terminal is relatively large. When the terminal executes the signal identification method provided in the embodiments of this application, it can perform sliding correlation calculation on the first signal based on the time domain length of the signal received by the terminal at one time, that is, calculate the cumulative value of the power or amplitude of multiple peaks within the sliding detection window. The sliding detection window can be referred to as the correlation region, and its time domain length is usually the time domain length of the signal received by the terminal at one time.
[0068] Combination Figure 3 The figure shows the waveform of the first signal received by the terminal as an example, but this does not constitute a limitation on the waveform of the first signal.
[0069] During the continuous reception of the first signal, the terminal selects the signal segment within the sliding detection window ① of the first signal. Based on the set of peak positions in the first signal, it determines the positions of multiple peaks of the signal segment within the sliding detection window ①, obtains the amplitude of each peak, and then sums the amplitudes of multiple peaks to obtain the total peak amplitude, Peak. sum Similarly, based on the set of valley positions in the first signal, the terminal determines the positions of multiple valleys in the signal segment within the sliding detection window ①, obtains the amplitude of each valley, and then accumulates the amplitudes of multiple valleys to obtain the total valley amplitude. sum .
[0070] in,
[0071] Alternatively, the terminal determines the positions of multiple peaks within the signal segment based on the set of peak positions in the first signal, calculates the power of each peak, and then sums the powers of multiple peaks to obtain the total peak power, Peak.sum Similarly, based on the set of valley positions in the first signal, the terminal determines the positions of multiple valleys within the signal segment in the sliding detection window ①, calculates the power of each valley, and then sums the powers of multiple valleys to obtain the total valley power. sum .
[0072] in,
[0073] S204. Calculate the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude.
[0074] Calculate the peak-to-valley ratio of total power or the peak-to-valley ratio of total amplitude based on Formula 4.
[0075]
[0076] S205. Determine whether the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude is greater than the first threshold.
[0077] Among them, the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude of the dual-chirped signal is usually relatively high. In this embodiment, a threshold value is used to compare the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude of the signal in which the first signal is within the sliding detection window, so as to determine whether the signal in which the first signal is within the sliding detection window is a dual-chirped signal.
[0078] The first threshold includes a first threshold corresponding to power and a first threshold corresponding to amplitude. The calculation method for the two first thresholds can be found in the following content, which will not be explained in detail here.
[0079] The terminal determines whether the peak-to-valley ratio of the total power is greater than the first threshold corresponding to the power; or, the terminal determines whether the peak-to-valley ratio of the total amplitude is greater than the first threshold corresponding to the amplitude.
[0080] In the scheme where the terminal judges whether the first signal includes a double-chirped signal based on the total power of the signal peaks and troughs, if the terminal determines that the peak-to-trough ratio of the total power is greater than the first threshold corresponding to the power, then step S206 is executed; otherwise, step S207 is executed.
[0081] In the scheme where the terminal judges whether the first signal includes a double-chirped signal based on the total amplitude of the signal peaks and troughs, if the terminal determines that the peak-to-trough ratio of the total amplitude is greater than the first threshold corresponding to the amplitude, then step S206 is executed; otherwise, step S207 is executed.
[0082] In some embodiments, the terminal comprehensively evaluates whether the first signal includes a double-chirped signal based on the total power of the signal peaks and troughs and the total amplitude of the signal peaks and troughs. The terminal may execute step S206 if it determines that the peak-to-trough ratio of the total amplitude is greater than the first threshold corresponding to the amplitude and / or the peak-to-trough ratio of the total power is greater than the first threshold corresponding to the power; otherwise, if the terminal determines that the peak-to-trough ratio of the total amplitude is not greater than the first threshold corresponding to the amplitude and the peak-to-trough ratio of the total power is not greater than the first threshold corresponding to the power, the terminal may execute step S207.
[0083] S206. Determine that the signal within the sliding detection window is a double-chirped signal.
[0084] In a scheme where the terminal judges whether the first signal includes a double-chirped signal based on the total power of the signal's peaks and troughs, if the terminal determines that the peak-to-trough ratio of the total power of the signal within the sliding detection window is greater than the first threshold corresponding to the power, it indicates that the peak-to-trough ratio of the total power of the signal within the sliding detection window is very high. This further indicates that the peak-to-trough value of the power of the signal within the detection window is the same as the peak-to-trough value of the power of the double-chirped signal, thus indicating that the signal within the detection window is a double-chirped signal.
[0085] If the terminal determines that the peak-to-valley ratio of the total power of the signal within the sliding detection window is not greater than the first threshold corresponding to the power, it indicates that the signal within the sliding detection window is a noise signal.
[0086] Similarly, in the scheme where the terminal judges whether the first signal includes a double-chirped signal based on the total amplitude of the signal's peaks and troughs, if the terminal determines that the peak-to-trough ratio of the total amplitude of the signal within the sliding detection window is greater than the first threshold corresponding to the amplitude, it indicates that the peak-to-trough ratio of the total amplitude of the signal within the sliding detection window is very high. This further indicates that the peak-to-trough value of the amplitude of the signal within the detection window is the same as the peak-to-trough value of the amplitude of the double-chirped signal, thus indicating that the signal within the detection window is a double-chirped signal.
[0087] If the terminal determines that the peak-to-valley ratio of the total amplitude of the signal within the sliding detection window is not greater than the first threshold corresponding to the amplitude, it indicates that the signal within the sliding detection window is a noise signal.
[0088] S207. Update the position of the sliding detection window in the first signal.
[0089] Combination Figure 3The terminal, based on the signal segment within the sliding detection window ①, executes steps S203 to S205. If step S205 determines that the peak-to-valley ratio is less than a first threshold, it indicates that the signal segment within the sliding detection window ① does not include a double-chirped signal. The terminal can then update the position of the sliding detection window in the first signal. In some embodiments, the terminal slides the position of the sliding detection window ① by one granularity (which can be understood as one unit of time) to obtain the position of the next sliding detection window, i.e., the position of the sliding detection window ②. The terminal then executes steps S203 to S205 again based on the sliding detection window ②.
[0090] If the terminal executes steps S203 to S205 again based on the sliding detection window ②, and still determines that the peak-to-valley ratio is less than the first threshold through step S205, then the position of the sliding detection window in the first signal is updated through step S207.
[0091] It is understood that in some embodiments, if the terminal fails to identify the double chirp signal when executing steps S203 to S205 based on the first signal being located within multiple sliding detection windows, the terminal may stop executing the solution provided in this embodiment.
[0092] It should be noted that because the first threshold has a certain false alarm probability, in some cases, the first threshold cannot accurately filter out signals whose first signal is located within the sliding detection window as double-chirped signals. That is, if the peak-to-valley ratio of the total power of the signal whose first signal is located within the sliding detection window is greater than the first threshold corresponding to the power, or the peak-to-valley ratio of the total amplitude is greater than the first threshold corresponding to the amplitude, the signal whose first signal is located within the sliding detection window still has a certain probability of not being a double-chirped signal.
[0093] In response, based on step S205, the terminal determines that the peak-to-valley ratio of the total power of the first signal within a sliding detection window is greater than the first threshold corresponding to the power, or determines that the peak-to-valley ratio of the total amplitude of the first signal within a sliding detection window is greater than the first threshold corresponding to the amplitude. Alternatively, the terminal may not execute step S206 initially, but instead update the position of the sliding detection window through step S207 and continue to execute steps S203 to S205 until the terminal determines that the peak-to-valley ratio of the total power of the signals within multiple sliding detection windows is greater than the first threshold corresponding to the power, or the peak-to-valley ratio of the total amplitude of the signals within multiple sliding detection windows is greater than the first threshold corresponding to the amplitude. The terminal then determines the signal within the sliding detection window with the largest peak-to-valley ratio of total power or peak-to-valley ratio of total amplitude based on the signals within multiple sliding detection windows, and uses it as the double-chirped signal to further improve the accuracy of double-chirped signal recognition.
[0094] It should also be noted that in some embodiments, step S204 can be replaced by: calculating the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude. Furthermore, step S205 can be replaced by: determining whether the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude is less than a third threshold. The third threshold includes both a third threshold corresponding to power and a third threshold corresponding to amplitude. The calculation methods for the two third thresholds can be found below and will not be elaborated here.
[0095] If the terminal determines that the peak-to-valley ratio of the total power is less than the third threshold corresponding to the power, then step S206 is executed; otherwise, step S207 is executed. Alternatively, if the terminal determines that the peak-to-valley ratio of the total amplitude is less than the third threshold corresponding to the amplitude, then step S206 is executed; otherwise, step S207 is executed.
[0096] In some embodiments, if the terminal determines that the peak-to-valley ratio of the total power of the first signal within a sliding detection window is less than the third threshold corresponding to the power, or determines that the peak-to-valley ratio of the total amplitude of the first signal within a sliding detection window is less than the third threshold corresponding to the amplitude, the terminal may not execute step S206 first, but instead update the position of the sliding detection window through step S207, and continue to execute step S203, and calculate the total peak power or total amplitude, and the total trough power or total amplitude of the signal within the next sliding detection window; then calculate the total power... The system first determines the peak-to-valley ratio of the power or the peak-to-valley ratio of the total amplitude; then it determines whether the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude is less than a third threshold; and so on, to obtain the peak-to-valley ratio of the total power of the signals within multiple sliding detection windows, which is less than the third threshold corresponding to the power, or the peak-to-valley ratio of the total amplitude of the signals within multiple sliding detection windows, which is less than the third threshold corresponding to the amplitude; the terminal then determines the signal within the sliding detection window with the smallest peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude based on the signals within multiple sliding detection windows, and uses it as the double-chirped signal, further improving the accuracy of double-chirped signal recognition.
[0097] Figure 4 This demonstrates a simulation result showing how a terminal uses the signal identification method provided in this embodiment to identify whether the signal received by the terminal includes a double-chirped signal. It can be understood that this simulation result is the cumulative distribution of the execution results of the terminal executing this scheme multiple times. Of course, this cumulative distribution can be obtained by processing the execution results multiple times based on a Cumulative Distribution Function (CDF).
[0098] like Figure 4 As shown, in a scenario where the terminal includes one antenna, when the signal-to-noise ratio (SNR) is 0dB, the solution provided in this embodiment can achieve a detection probability of 96.66%.
[0099] Figure 5 This application demonstrates a method for calculating a first threshold provided by an embodiment of the present application. The first threshold can refer to a first threshold corresponding to power. In this embodiment, the power of a noise sample in a noise signal is used as an example to introduce a scheme for obtaining the first threshold corresponding to power. Of course, the scheme of this embodiment can also be used to calculate the first threshold corresponding to the amplitude based on the amplitude of the noise sample in the noise signal; the only difference is that the power in steps S402, S403, and S404 below is replaced by amplitude.
[0100] It should be noted that the calculation method for the first threshold provided in this embodiment can be different from the method used in the execution. Figure 2 The signal identification method shown is executed by other devices on the terminal. After the other devices calculate the first threshold, the terminal can configure the first threshold. Of course, the terminal can also execute the calculation method of the first threshold provided in this embodiment. This application does not limit this.
[0101] like Figure 5 As shown, the method for calculating the first threshold provided in this application embodiment includes:
[0102] S401: Receive noise signals and number the noise signals.
[0103] Noise signals refer to the sum of all interfering signals other than the useful signal in a communication system, such as Gaussian white noise. Based on their source and characteristics, noise signals can be classified into various types. A terminal can select a noise signal type, which is emitted by the signal source and received by the terminal. In some embodiments, the time-domain length of the noise signal received by the terminal can be set.
[0104] Equivalent to step S201 in the aforementioned embodiments, after receiving the noise signal, the terminal can sample the noise signal to obtain multiple noise samples, and number each noise sample. In some embodiments, the terminal samples the noise signal based on the frequency of the double-chirped signal to obtain multiple samples. In some embodiments, the terminal determines the positions of multiple peaks and valleys of the double-chirped signal based on the frequency of the double-chirped signal, and the positions of these peaks and valleys are used as the sampling positions.
[0105] The specific implementation method for numbering the samples in this step can be found in the aforementioned step S201, and will not be repeated here.
[0106] S402. Record the positions of multiple peaks and troughs in the noise signal.
[0107] In some embodiments, recording the positions of multiple peaks and multiple troughs in the noise signal can refer to recording the numbering of multiple peaks and multiple troughs in the noise signal.
[0108] The definitions of peaks and troughs can be found in step S201 above, and will not be repeated here.
[0109] S403. The power of multiple peaks in the noise signal is accumulated and calculated to obtain the total power value of the peaks; and the power of multiple troughs in the noise signal is accumulated and calculated to obtain the total power of the troughs.
[0110] In some embodiments, the power of the noise samples corresponding to multiple numbers in the PeakPos set of the noise signal is calculated, that is, the power of multiple peaks is calculated, and then the power of multiple peaks is accumulated to obtain the total power Peak_sum at Peak.
[0111] Similarly, calculate the power of the noise samples corresponding to multiple numbers in the ValleyPos set of the noise signal, that is, calculate the power of multiple valleys, and then sum the power of multiple valleys to obtain the total power Valley_sum at the Valley.
[0112] S404. Calculate the peak-to-valley ratio of total power.
[0113] In some embodiments, the peak-to-valley ratio (PVR) of the total power of the noise signal is calculated: PVR = Peak_sum / Valley_sum.
[0114] In other embodiments, the peak-to-valley ratio (PVR) of the total power of the noise signal is calculated: PVR = Valley_sum / Peak_sum.
[0115] S405. Determine whether the amount of noise signal has reached the threshold.
[0116] To ensure that the calculated first threshold accurately indicates the peak-to-valley ratio of the total power of the noise signal, the terminal can typically calculate the first threshold based on multiple noise signals. In some embodiments, the terminal can set the number of times to calculate the peak-to-valley ratio of the total power of the noise signal, that is, the number of times the terminal repeats the aforementioned steps S401 to S404, which is the threshold proposed in this step.
[0117] After the terminal completes steps S401 to S404 once for a noise signal, it can determine whether the number of currently received noise signals has reached the threshold. If it has not reached the threshold, it will execute step S407 below; otherwise, it will execute step S406 below.
[0118] S406. Determine the first threshold based on the peak-to-valley ratio of the total power of multiple noise signals.
[0119] After the terminal repeatedly executes the aforementioned steps S401 to S404 multiple times, the peak-to-valley ratio of the total power of multiple noise signals can be obtained.
[0120] In some embodiments, the terminal may determine a first threshold value based on the cumulative distribution of the peak-to-valley ratio of the total power of multiple noise signals. The terminal may process the peak-to-valley ratio of the total power of multiple noise signals based on a Cumulative Distribution Function (CDF) to obtain the cumulative distribution of the peak-to-valley ratio of the total power of the multiple noise signals. The terminal may use a peak-to-valley ratio where the distribution of the peak-to-valley ratio of the total power of the multiple noise signals reaches a certain percentage as the first threshold value. This percentage may be a set value. Alternatively, the terminal may use a peak-to-valley ratio where the distribution of the peak-to-valley ratio of the total power of the multiple noise signals satisfies the false alarm probability requirement as the first threshold value.
[0121] For example, Figure 6 A graph showing the cumulative distribution of the peak-to-valley ratio of the total power of multiple noise signals is displayed.
[0122] like Figure 6 As shown in the figure, the curves represent the peak-to-valley ratio distribution of the total power of multiple noise signals. The peak-to-valley ratio of the total power of 99% (i.e., 0.99 on the Y-axis) of the noise signals is 5.77809, which can be used as the first threshold value, with a false alarm probability of 0.01. Alternatively, the peak-to-valley ratio of the total power of 99.5% (i.e., 0.995 on the Y-axis) of the noise signals is 5.92194, which can also be used as the first threshold value, with a false alarm probability of 0.005.
[0123] S407, Update noise signal.
[0124] The terminal updates the noise signal, or transforms the random seed of the noise signal. The signal source emits the updated noise signal, the terminal receives the noise signal, and continues to execute the aforementioned steps S401 to S404.
[0125] It should be noted that the calculation method for the third threshold corresponding to power can also be as follows: Figure 5 As shown, the difference is that step S404 is replaced by calculating the peak-to-valley ratio of the total power, and step S406 is replaced by determining the third threshold corresponding to the power based on the peak-to-valley ratio of the total power of multiple noise signals.
[0126] The calculation method for the third threshold corresponding to the amplitude can also be as follows: Figure 5 As shown, the difference is that step S403 is replaced by accumulating the amplitudes of multiple peaks in the noise signal to obtain the total power value of the amplitude; and accumulating the amplitudes of multiple troughs in the noise signal to obtain the total amplitude of the troughs; step S404 is replaced by calculating the peak-to-trough ratio of the total amplitude; and step S406 is replaced by determining the third threshold corresponding to the amplitude based on the peak-to-trough ratio of the total amplitude of multiple noise signals.
[0127] It should be noted that the aforementioned Figure 2 In a corresponding embodiment, it can be understood that the terminal receives a first signal transmitted by a transmitter based on one antenna, and identifies whether the first signal received by the one antenna includes a double-chirped signal. In some application scenarios, the terminal may include multiple antennas, and the terminal may receive the first signal transmitted by the transmitter based on multiple antennas. To support the terminal in being able to identify whether the first signal received by multiple antennas includes a double-chirped signal, this application embodiment provides another signal identification method.
[0128] The signal identification method provided in this embodiment, such as Figure 7 As shown, it includes:
[0129] S601: Receive the first signal transmitted by multiple antennas and number the first signal transmitted by each antenna.
[0130] The terminal receives the first signal transmitted by the transmitter using multiple antennas, thus obtaining multiple first signals. The terminal numbers each first signal. In some embodiments, the terminal may assign labels to the first signals to distinguish them from those received by different antennas.
[0131] The method by which the terminal numbers the first signal transmitted by each antenna can be found in the aforementioned step S201, and will not be repeated here.
[0132] S602. Record the positions of multiple peaks and multiple troughs in each first signal.
[0133] The method by which the terminal records the positions of multiple peaks and multiple troughs in each first signal can be found in the aforementioned step S202, and will not be repeated here.
[0134] S603. The power or amplitude of multiple peaks in the sliding detection window of each first signal is accumulated and calculated to obtain the total power value or total amplitude value of the peaks; and the power or amplitude of multiple troughs in the sliding detection window of each antenna is accumulated and calculated to obtain the total power or total amplitude of the troughs.
[0135] For each antenna transmitting the first signal, the terminal accumulates the power or amplitude of multiple peaks in the sliding detection window of the first signal to obtain the total power or amplitude of the peaks; and accumulates the power or amplitude of multiple troughs in the sliding detection window to obtain the total power or amplitude of the troughs.
[0136] Similarly, the method by which the terminal obtains the total power value or total amplitude value of the peak and the total power or total amplitude of the trough can be found in the aforementioned step S203, and will not be repeated here.
[0137] S604. Calculate the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude for each antenna.
[0138] For details on how to implement this step, please refer to step S204 above, which will not be repeated here.
[0139] In some embodiments, the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude of each antenna may also be calculated.
[0140] S605, sum up the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude for each antenna.
[0141] Based on step S604, after obtaining the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude of each of the multiple antennas, the terminal accumulates the peak-to-valley ratio of the total power of each antenna to obtain the accumulated value of the peak-to-valley ratio of the total power; similarly, the terminal can also accumulate the peak-to-valley ratio of the total amplitude of each antenna to obtain the accumulated value of the peak-to-valley ratio of the total amplitude.
[0142] In some embodiments, the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude of each antenna can be summed.
[0143] S606. Determine whether the cumulative value of the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude is greater than the second threshold.
[0144] The second threshold includes a second threshold corresponding to power and a second threshold corresponding to amplitude. The difference between the second threshold and the first threshold is that the first threshold is: the device receives noise signals based on a single antenna, and performs [actions] on the noise signals received by the single antenna. Figure 5 The method demonstrated is used to calculate the second threshold, which is: the device receives noise signals based on multiple antennas, and performs separate operations on the noise signals received by the multiple antennas. Figure 5 The method shown is used to calculate the peak-to-valley ratio of the total power of the signals received by each antenna in the scenario with multiple antennas. After calculating the peak-to-valley ratio of the total power of the signals received by multiple antennas in step S404, it is necessary to accumulate the peak-to-valley ratio of the total power of the signals received by multiple antennas to obtain an accumulated value. Then, the terminal executes step S405 to determine the second threshold corresponding to the power after determining that the number of noise signals has reached the threshold. Based on the accumulated value of the peak-to-valley ratio of the total power of multiple noise signals, the second threshold is determined.
[0145] Of course, the second threshold corresponding to the total amplitude can also be determined by the device receiving noise signals from multiple antennas, and the noise signals received by each antenna can be processed separately. Figure 5 The method shown is used to calculate it, of course. Figure 5 The calculated power and accumulated power in the previous step should be replaced with the obtained amplitude and accumulated amplitude. In step S405, after determining that the number of noise signals has reached the threshold, the second threshold corresponding to the amplitude is determined based on the accumulated value of the peak-to-valley ratio of the total amplitude of the multiple noise signals.
[0146] In the scheme where the terminal judges whether the first signal transmitted by multiple antennas includes a dual-chirped signal based on the total power of the signal peaks and troughs, if the terminal determines that the cumulative value of the peak-to-trough ratio of the total power is greater than the second threshold corresponding to the power, then step S607 is executed; otherwise, step S608 is executed.
[0147] In a scheme where the terminal judges whether the first signal transmitted by multiple antennas includes a dual-chirped signal based on the total amplitude of the signal peaks and troughs, if the terminal determines that the cumulative value of the peak-to-trough ratio of the total amplitude is greater than the second threshold corresponding to the amplitude, then step S607 is executed; otherwise, step S608 is executed.
[0148] In some embodiments, the terminal comprehensively evaluates whether the first signal transmitted by multiple antennas includes a dual-chirped signal based on the total power of the signal peaks and troughs and the total amplitude of the signal peaks and troughs. The terminal may execute step S607 if it determines that the cumulative value of the peak-to-trough ratio of the total amplitude is greater than the second threshold corresponding to the amplitude, and / or determines that the cumulative value of the peak-to-trough ratio of the total power is greater than the second threshold corresponding to the power; otherwise, if the terminal determines that the cumulative value of the peak-to-trough ratio of the total amplitude is not greater than the second threshold corresponding to the amplitude, and determines that the cumulative value of the peak-to-trough ratio of the total power is not greater than the second threshold corresponding to the power, the terminal may execute step S608.
[0149] In some embodiments, step S606 can also be replaced by: determining whether the cumulative value of the peak-to-valley ratio of the total power or the peak-to-valley ratio of the total amplitude is less than a fourth threshold. The fourth threshold includes: a fourth threshold corresponding to power and a fourth threshold corresponding to amplitude. The calculation methods for these two fourth thresholds are basically the same as those for the second threshold, except that the peak-to-valley ratio is replaced by the valley-to-peak value.
[0150] S607. Determine that the signal within the sliding detection window of the first signal transmitted by each antenna is a double-chirped signal.
[0151] S608, Update the position of the sliding detection window in each first signal.
[0152] The specific implementation methods of steps S606 to S608 can be found in the content of steps S205 to S207, and will not be repeated here.
[0153] In this embodiment, for application scenarios where multiple antennas receive signals, the terminal identifies dual-chirped signals based on the solution provided in this embodiment, which can improve detection performance and achieve merged detection.
[0154] Figure 8The simulation results demonstrate whether a terminal uses the signal identification method provided in this embodiment to identify whether the signal received by the terminal based on multiple antennas includes a dual-chirped signal. It can be understood that the simulation results are the cumulative distribution of the execution results of the terminal executing this scheme multiple times. This cumulative distribution can be obtained by processing the execution results multiple times using a Cumulative Distribution Function (CDF).
[0155] like Figure 8 As shown, in a scenario where the terminal includes two antennas, when the signal-to-noise ratio (SNR) is -2dB, the solution provided in this embodiment can achieve a detection probability of 97.9%.
[0156] The signal identification method provided in this application embodiment can also be applied to large frequency deviation scenarios to screen out smaller frequency deviations within a larger frequency deviation range.
[0157] For example, in satellite communication systems, the high speed of satellite movement introduces significant Doppler frequency offsets. In Low Earth Orbit (LEO), for instance, signals transmitted by network devices may have a frequency offset range of [-60kHz, 60kHz], which is quite large. Terminals searching for signals within this large frequency offset range experience longer processing times and increased power consumption.
[0158] To address this, by leveraging the insensitivity of envelope detection to frequency offset, the terminal can divide a large frequency offset range into multiple smaller frequency offset ranges, such as... Figure 9 As shown, the terminal uses a narrower filter (e.g., a passband of 30kHz) to divide the frequency offset range of [-60kHz, 60kHz] into 7 frequency offset ranges with 30kHz intervals.
[0159] Subsequently, the terminal executes the signal identification method provided in this application embodiment within each frequency offset range to detect double-chirped signals within each frequency offset range. When the terminal detects a double-chirped signal within a certain frequency offset range, it indicates that the network device is transmitting signals based on the frequency points within that frequency offset range. The terminal can then use other frequency offset estimation methods (such as FFT transformation to frequency domain detection) to further determine the accurate frequency points within this smaller frequency offset range, thereby determining the frequency points of the signals transmitted by the network device. In this way, the terminal can reduce the power consumption of frequency point search.
[0160] In some embodiments, when the terminal uses a narrower filter for filtering, it can also perform in-band superposition, which can further reduce the frequency offset range within each filter window.
[0161] Another embodiment of this application also provides a terminal, which may be referred to as an electronic device, capable of executing the signal identification method provided in the foregoing embodiments.
[0162] Taking mobile phones as an example, Figure 10 An example of the composition of an electronic device provided in this application embodiment.
[0163] like Figure 10 As shown, the electronic device may include a processor 910, an internal memory 920, and a display screen 930, etc.
[0164] It is understood that the structures illustrated in this embodiment do not constitute a specific limitation on the electronic device. The electronic device may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of both.
[0165] Processor 910 may include one or more processing units; for example, processor 110 may include an application processor (AP). Processor 110 may also include memory for storing instructions and data.
[0166] Internal memory 120 can be used to store computer executable program code, which includes instructions.
[0167] In some embodiments, the internal memory 120 stores instructions for a signal recognition method. The processor 110 can execute the instructions stored in the internal memory 120 to perform... Figure 2 and Figure 7 The technical solutions on display.
[0168] Electronic devices Figure 10 The hardware components on display also run an operating system. For example... operating system, operating system, Operating system, etc. Applications such as fitness tracking and MagicLink modules can be installed and run on the operating system.
[0169] Another embodiment of this application provides a computer-readable storage medium storing instructions that, when executed on a computer or processor, cause the computer or processor to perform one or more steps of any of the above methods.
[0170] Computer-readable storage media can be non-transitory computer-readable storage media, such as read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage devices.
[0171] Another embodiment of this application provides a computer program product containing instructions. When the computer program product is run on a computer or processor, it causes the computer or processor to perform one or more steps of any of the methods described above.
Claims
1. A method for identifying a signal, characterized in that, include: Obtain the first signal; Based on the peak and valley positions of the energy parameters of the dual-chirped signal, the first signal is sampled to determine multiple peak positions and multiple valley positions of the first signal. The ratio of the total energy parameter of the peak to the total energy parameter of the trough of the first signal is calculated. The total value of the energy parameters of the peaks refers to the sum of the energy parameters of the first signal at multiple peak positions, and the total value of the energy parameters of the troughs refers to the sum of the energy parameters of the first signal at multiple trough positions. Based on the comparison relationship between the ratio and the threshold, the identification result of whether the first signal includes a double-chirped signal is obtained.
2. The method according to claim 1, characterized in that, The ratio is the peak-to-valley ratio of the total energy parameters of the first signal, wherein: based on the comparison relationship between the ratio and the threshold, the identification result of whether the first signal includes a double-chirped signal is obtained, including: If the ratio is greater than or equal to the peak-to-valley ratio threshold, the first signal is determined to include a double-chirped signal; otherwise, the first signal is determined not to include a double-chirped signal.
3. The method according to claim 1, characterized in that, The ratio is the peak-to-valley ratio of the total energy parameters of the first signal, wherein: based on the comparison relationship between the ratio and the threshold, the identification result of whether the first signal includes a double-chirped signal is obtained, including: If the ratio is less than or equal to the peak-to-valley ratio threshold, the first signal is determined to include a double-chirped signal; otherwise, the first signal is determined not to include a double-chirped signal.
4. The method according to any one of claims 1 to 3, characterized in that, The first signal refers to a signal with a preset time domain length.
5. The method according to claim 4, characterized in that, The first signal includes a plurality of signals with preset time domain lengths, wherein the plurality of signals with preset time domain lengths originate from the same signal; the method further includes: If the identification results of whether a plurality of signals of the preset time domain length include a double-chirped signal indicate that the signals of the preset time domain length include a double-chirped signal, then it is determined that the signal with the largest ratio among the plurality of signals of the preset time domain length includes a double-chirped signal.
6. The method according to any one of claims 1 to 5, characterized in that, The first signal includes multiple signals; the method further includes: Based on the ratio of the total energy parameter of the peak to the total energy parameter of the trough of the multiple signals, the sum of the ratios of the total energy parameter of the peak to the total energy parameter of the trough is obtained; The step of obtaining the identification result of whether the first signal includes a double-chirped signal based on the comparison relationship between the ratio and the threshold includes: obtaining the identification result of whether the plurality of signals include a double-chirped signal based on the comparison relationship between the cumulative value of the ratio and the threshold.
7. The method according to any one of claims 1 to 6, characterized in that, The threshold is calculated using the following methods: Acquire noise signals; Based on the peak and valley positions of the energy parameters of the dual-chirped signal, the noise signal is sampled to determine multiple peak positions and multiple valley positions of the noise signal. The ratio of the total energy parameter value of the peak to the total energy parameter value of the trough of the noise signal is calculated; the total energy parameter value of the peak refers to the cumulative value of the energy parameters of the noise signal at multiple peak positions, and the total energy parameter value of the trough refers to the cumulative value of the energy parameters of the noise signal at multiple trough positions.
8. The method according to claim 7, characterized in that, The noise signal includes multiple noise signals, and the method for calculating the threshold further includes: The threshold is defined as the percentage at which the distribution of the ratios of the plurality of noise signals reaches a predetermined percentage.
9. The method according to any one of claims 1 to 8, characterized in that, The energy parameters include power and / or amplitude.
10. An electronic device, characterized in that, include: One or more processors, memory, and a display screen; The memory and the display screen are coupled to the one or more processors. The memory is used to store computer program code, which includes computer instructions. When the one or more processors execute the computer instructions, the electronic device performs the signal identification method as described in any one of claims 1 to 9.
11. A computer-readable storage medium, characterized in that, Used to store a computer program, which, when executed, is specifically used to implement the signal recognition method as described in any one of claims 1 to 9.
12. A computer program product, characterized in that, When the computer program product is run on a computer, it causes the computer to perform the signal recognition method as described in any one of claims 1 to 9.