263 results about "Ultra wideband radar" patented technology

An ultra wideband radar system for detecting moving objects comprising an antenna, which may be scanned in at least one dimension, and a signal processor wherein the signal processor includes a scan combiner that combines scan information in accordance with a candidate trajectory for the moving object. Scans may be combined by integration or filtering. A fast calculation method is described wherein the scans are combined into subsets and subsets are shifted in accordance with the candidate trajectory before further combination. A method is described wherein a region is scanned with an ultra wideband radar, the scan information is combined in accordance with an expected trajectory to enhance the object signal to noise. Further features are described wherein the scan information is combined according to a family of trajectories. A trajectory yielding a potential object detection initiates a further scan combination step wherein the family of trajectories is further resolved.

A parallel parking assist system and a method for evaluating an area for use as a parking space for a host vehicle, the parallel park assist system comprises a ultra wideband radar sensor disposed in the host vehicle, wherein the radar sensor obtains a measurement data relating to a potential parking space and transmits a data signal representing the measurement data, a processor adapted to receive the transmitted data signal from the sensor, analyze the data signal, and transmit an alert signal in response to the analysis of the data signal, and a user interface adapted to receive the alert signal and provide an alert to the driver of the host vehicle in response to the alert signal, wherein the alert signal represents the suitability of the potential parking space.

A system and method for non-invasive and continuous measurement of cardiac chamber volume and derivative parameters including stroke volume, cardiac output and ejection fraction comprising an ultrawideband radar system having a trans-mitting and receiving antenna for applying ultrawideband radio signals to a target area of a subject's anatomy wherein the receiving antenna collects and transmits signal returns from the target area which are then delivered to a data processing unit, such as an integrated processor or PDA, having software and hardware used to process the signal returns to produce a value for cardiac stroke volume and changes in cardiac stroke volume supporting multiple diagnostic requirements for emergency response and medical personnel whether located in the battlefield, at a disaster site or at a hospital or other treatment facility.

Ultra wideband radar motion sensors strategically placed in an area of interest communicate with a wireless ad hoc network to provide remote area surveillance. Swept range impulse radar and a heart and respiration monitor combined with the motion sensor further improves discrimination.

An active protection system comprising an ultrawideband radar for threat detection, an optical tracker for precision threat position measurement, and a high powered laser for threat kill or mitigation. The uwb radar may use a sparse array antenna and may also utilize Doppler radar information. The high powered laser may be of the optically pumped solid state type and in one embodiment may share optics with the optical tracker. In one embodiment, the UWB radar is used to focus the high power laser. Alternative interceptor type kill mechanisms are disclosed. In a further embodiment, the kill mechanism may be directed to the source of the threat.

Methods and apparatus are provided for radar systems using multiple pulses that are shorter than the expected range delay extent of the target to be imaged. In one implementation, a method for performing radar includes the steps of: transmitting a plurality of pulses, each pulse having a different center frequency and a time duration shorter than an expected range delay extent of a target, wherein a total bandwidth is defined by a bandwidth occupied by the plurality of pulses; receiving reflections of the plurality of pulses; and performing pulse compression on the received pulse reflections to generate a detection signal having a radar resolution approximately equivalent to the transmission and reception of a single pulse having the total bandwidth. In preferred form, the pulses comprise ultrawideband (UWB) pulses each occupying a sub-band of the overall system bandwidth.

A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.

An ultra wideband radar system for detecting objects where at least one of the radar system or the object is moving. The radar may be scanned in at least one dimension, which may include angle or range. The system includes a scan combiner that combines scan information in accordance with a trajectory characteristic of a moving object and / or of a moving platform on which the radar resides. Scans may be combined by integration or filtering. A fast calculation method is described wherein the scans are combined into subsets and subsets are shifted in accordance with the trajectory characteristics before further combination. The scan information is combined in accordance with trajectory characteristics to enhance the object signal to noise. Further features are described wherein the scan information is combined according to a family of candidate trajectories and / or object positions.

A collar with an ultra-wideband radar is described. A housing contains sensor electronics and the transmit and receive antennas are located separate from the housing around the circumference of the collar. A first example of the collar includes a first transmit antenna and a first receive antenna. A second example of the collar adds a second transmit antenna and a second receive antenna.

Vehicle-mounted UWB systems and / or methods for detecting mines and other explosive devices are provided. In certain exemplary embodiments, a system for detecting non-buried mines and / or improvised explosive devices is provided. Distance measuring equipment may be configured to track movement of the system. Substantially forward-looking bistatic antenna transceivers may be capable of collecting range-magnitude radar data over two channels. A first transceiver may capture radar data for a first area, and a second transceiver may capture radar data for a second area. A processor may be configured to: derive range resolution data and cross-range resolution data from the range-magnitude radar data; focus the range resolution data and the cross-range resolution data, based at least on the distance data and an antenna beamwidth pattern associated with the antenna transceivers; and, “and” data for portions of the first area and the second area that overlap.

The invention provides a high-gain ultra-wideband corrugated double-ridge horn antenna with a loaded lens and belongs to the technical field of microwave antennas. The high-gain ultra-wideband corrugated double-ridge horn antenna is used for solving the problem that the double-ridge horn antenna is low in gain, and a high-frequency directional diagram is disintegrated. The high-gain ultra-wideband corrugated double-ridge horn antenna comprises a coaxial feed connector (1), a rectangular waveguide (2), a corrugated horn (3), a double-ridge waveguide (4) and the dielectric lens (5). The dielectric lens (5) of a hyperbolic structure is arranged at the position of a front port of the corrugated horn (3), the focus of the dielectric lens (5) coincides with the center of an antenna feed, a rear port of the corrugated horn (3) is connected with the rectangular waveguide (2), and the double-ridge waveguide (4) is arranged in the corrugated horn (3). The coaxial feed connector (1) is installed at the upper portion of the rectangular waveguide (2), and plane corrugations are arranged on the surface of the rear portion of the inner side of an upper metal plate (7) and the surface of the rear portion of the inner side of a lower metal plate (7). The high-gain ultra-wideband corrugated double-ridge horn antenna has the advantages that the ultra wide band, the high gain and the stable directional diagram are achieved in the 1-18 GHz area, and the high-gain ultra-wideband corrugated double-ridge horn antenna is suitable for the fields of electromagnetic compatibility tests, reflector antenna feed sources, ultra wide band radars and the like.

The invention discloses a multi-person through-wall time varying breathing signal detection method based on VMD, comprising the steps of: an ultra wide band emission antenna emitting narrow pulse, through human thoracic cavity micro-doppler vibration, echo being received by a receiving antenna, and performing slow time sampling on ultra wide band radar echo to obtain a through-wall human body echo signal matrix; calculating the variance of each distance door through a distance door selection algorithm, the one with a largest variance being a distance door where a multi-person target exists, and employing a low pass filter to eliminate high frequency interference and superfluous frequency components; utilizing a VMD algorithm to perform mode decomposition on filtered signals, and iterating sub-signals to obtain effective information meeting the number and frequency band of breathing; and performing Hilbert transformation and time frequency treatment to obtain dynamic instantaneous information including smooth breathing characteristics. The method can effectively eliminate interference harmonic wave of different breathing components, remove metope interference, and enhance weak breathing signals, and has the characteristics of strong interference immunity and accurate time varying tracking characteristics.

The invention discloses a transceiving system of synthetic aperture radar with super-high resolution. The output end of a broadband radar signal generator is connected with the input end of a high-power transmitter; the input end of the front receiving end receives a super broadband radar echo signal; the output end of the front receiving end is connected with the input end of a broadband power distributor; the output end of the broadband power distributor is connected with the input end of a multi-channel receiving unit; clock signals of the broadband radar signal generator and local oscillators of the multi-channel receiving unit are all provided by a multi-band frequency synthesizer. The transceiving system is particularly suitable for the synthetic aperture radar with super-high resolution and can transceive a radar image of which the resolution is 0.1m.

The invention discloses an indoor human body posture recognition method based on weighted combined distance time frequency transformation, and the method comprises the steps: firstly carrying out the MTI filtering of indoor human body posture data recorded by a UWB (ultra wide band) radar, extracting the data comprising the body posture, and selecting an effective distance gate; secondly obtaining a combined distance time frequency distribution map through the weighted combined distance time frequency transformation, and extracting the feature parameters of a body envelope in the map; thirdly determining the mapping relation between different postures and the feature parameters through a machine learning algorithm; finally determining the class of body posture according to the obtained mapping relation. The method is effective and feasible, is reliable in performance, and can accurately recognize different indoor body postures.

The invention discloses an ultra wide band radar human body action recognition method based on a deep convolutional neural network. The method comprises the following steps: firstly extracting distance-time two-dimensional characteristics of a human body target by utilizing high distance resolution of an ultra wide band radar and aiming at dynamic characteristics of human body actions, making up for the deficiency of single distance characteristics, and then designing a deep convolutional neural network model for training and identification, and by employing Drop-out layer, an L2 regularization item and an LRN (Local Response Normalization) layer and the like are added by optimizing and improving convolutional neural network to avoid an overfitting phenomenon and improve the recognition accuracy. Experiments prove that the method can obtain higher recognition accuracy in a plurality of human body action recognition tasks, and the method has better feasibility and effectiveness.

The invention discloses a method and device of detecting human vital signs based on ultra-wideband radar. The method comprises the steps of acquiring multiple first echo signals of normal human breathand / or heartbeat and multiple second echo signals of abnormal human breath and / or heartbeat through ultra-wideband radar, preprocessing the signals, and extracting to obtain a normal detection sequence and an abnormal detection sequence; setting a convolutional neural network; training the convolutional neural network based on the normal detection sequence and the abnormal detection sequence; detecting breath and / or heartbeat of a current detection subject through the trained convolutional neural network, and outputting the results of whether the heartbeat is normal. The device herein comprises a signal processing module, a convolutional neural network setting module, a training module and a detection module. The method and device have the advantages that deep learning helps improve the accuracy of detecting heartbeat frequency, the capacity to distinguish normal heartbeat and abnormal heartbeat is improved, and real-time detection is distinguished accurately.

Coherent radar returns gained from Ultra-Wideband Radars are correlated with features extracted from a georeferenced map to refine positional information and pose of an object. Data collected from one or more UWB Radars and other real time sensors affixed on an object can be processed to identify discrete edges or characteristic returns such as a pole, building or the like. These coherent returns can be correlated with features extracted from a georeferenced map. As the UWB Radar(s) location and orientation with respect to the object is (are) known the precise location and pose of the object on the georeferenced map can be determined by matching features found in the map or imagery with those of the coherent return. Moreover the configuration of the UWB Radars can be modified based on a perception of the local environment.

The invention discloses a through-wall ultra-wideband radar human body respiration signal detection method based on a Faster-RCNN network. The method comprises the following steps: performing denoising and weak signal enhancement preprocessing on an original slow time-distance two-dimension ultra-wideband radar echo signal; and then continuously performing signal enhancement and denoising on the processed echo by adopting an Advance Normalisation method; imaging the echo signal in the preprocessing process as a gray image by adopting MATLAB, wherein the image width is corresponding to the echoslow time direction, and the image height is corresponding to the echo distance direction; and screening the obtained gray image, annotating a data set, and training a Faster-RCNN network model to perform human body respiration weak signal identification. The method disclosed by the invention is high in identification accuracy rate, high in detection speed, and capable of providing better technical support for the radar echo target detection, the life detection and practical technologies in actual applications.

The invention provides a soil water content measuring method based on an ultra wideband radar, and belongs to the field of soil water content measuring. The soil water content measuring method based on the ultra wideband radar is provided for solving the problems that a traditional soil water content measuring method is poor in real-time performance, and the area of soil measured in a one-off mode is small. The soil water content measuring method based on the ultra wideband radar mainly includes the steps that the ultra wideband radar is adopted for collecting radar data to estimate an ultra wideband multi-path channel of the soil; parameters, such as the range and the delay spread, of the multi-path channel are analyzed, and statistical properties of the multi-path channel are analyzed; the relationship between water content and the statistical properties of the multi-path channel is set up; according to the corresponding relationship, the water content of the target soil is measured. According to the soil water content measuring method based on the ultra wideband radar, the soil water content can be accurately monitored in real time without destruction; the soil water content measuring method based on the ultra wideband radar is suitable for farmland, and particularly the soil can be monitored in real time in a large scale after networking is achieved.

The invention relates to the fields of radar microwave signal processing technologies and life medicine, and in particular relates to a method for measuring the respiratory rate and the heart rate ofthe human body based on ultra-wideband radar. The technical key points of the scheme are as follows: the method comprises the following steps: S1, carrying out initialization on the ultra-wideband radar; S2, acquiring echo signals; S3, calculating the position information of the person according to the echo signals; S4, carrying out Butterworth band-pass filtering on one-dimensional time series signals in S3; S5, enhancing the signals by adopting a Min-Max normalization method; S6, smoothing the enhanced signals by adopting the Harming window; S7, carrying out fast discrete Fourier transform on the signals after smoothing processing; and S8, searching the peak values of the signals in the breathing zone and the heart rate zone, wherein the searched peak values are adopted as the parametersof respiration and heartbeat. The method is applicable to the non-contact measurement for respiration and heartbeat, can be applied to the special human body and environment, and has the relatively high precision and relatively low computation complexity.

The invention discloses a non-contact device for monitoring the vital signs of multiple people in a car. The device comprises an acquiring module, a processing module and a detecting module. In the acquiring module, pulse ultra-wide band radar is placed in the car to collect human body data; the processing module divides radar signals into different distance sections based on the fixed distances and reflecting area between the radar and all seats, human body moving signals are extracted from the each section, and different frequency signals with the corresponding number are decomposed out of the human body moving signals through a VMD algorithm; aiming at the problem of aliasing of the signals of the people in the car, aliasing interference of human body breath heartbeat signals at close range positions is removed at far range positions based on relativity, and meanwhile the breath heartbeat frequency of people is acquired at the same time. According to the device, the vital sign signals of people in the car can be acquired without contact through the car-mounted pulse ultra-wide band radar and are effectively monitored at the same time. Compared with the prior art, the device hasthe advantages of being low in power consumption, free of contact, good in privacy and the like.

The invention discloses a wave control array ultra-wideband radar antenna array based on array element feed waveform control, and belongs to the field of ultra-wideband radar technology. In free space, beam scanning is achieved through digital sampling delay. In complex electromagnetic scattering environments, beam scanning or focusing is achieved by changing the excitation waveform of each array element. The excitation waveform of each array element is generated first by obtaining a source waveform by A / D sampling and then by D / A after transform processing in a digital domain. The wave control array radar of the invention does not need a radio frequency phase shifter for beam scanning, but generates the focusing beam and achieves the focused beam scanning in the time domain or the ultra-wideband range by controlling the excitation waveform of each array element and the waveform sampling delay thereof. The antenna of the invention belongs to an ultra-wideband radar array, and the coverage of the working frequency range approaches the highest frequencies of DC to A / D and D / A digital sampling signals.

A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.

The invention discloses an ultra wide band radar life detection system and an ultra wide band radar life detection method. The ultra wide band radar life detection system comprises a radar host and a control terminal. The radar host comprises a transmitting antenna, a receiving antenna, a transmitter, a receiver, a main control unit and a communication unit. The control terminal transmits a detection command; the detection command enters the main control system through the communication unit; the main control system triggers the transmitter to generate an ultra wide band narrow pulse; then the ultra wide band narrow pulse is radiated to an observation region by the transmitting antenna; the receiving antenna receives a pulse echo; the pulse echo is transmitted into the receiver to be sampled; data obtained after sampling is transmitted into the main control system to be subjected to clutter rejection, detection and judgment; and the communication unit transmits a processing result of the main control system into the control terminal to display the processing result. Compared with a conventional life detector, the ultra wide band radar life detection system has the advantages that the control terminal can remotely control the radar host to work according to the required mode; and the ultra wide band radar life detection system not only has strong penetrating power, but also has high reliability and high detection accuracy.

The invention discloses a multichannel random harmonic modulation sampling radar receiver and a method thereof. The multichannel random harmonic modulation sampling radar receiver comprises a frequency mixer, M analog multipliers, M integrators, M low-speed AD convertors and a target information reconstruction processing module, wherein the frequency mixer is connected with the M analog multipliers; each analog multiplier is connected with one integrator; each integrator is connected with one AD convertor; data collected by the AD convertors are input into the target information reconstruction processing module; and the target information reconstruction processing module achieves the purpose of radar target information estimation through three steps, namely, measurement matrix construction, radar sparse representation matrix construction and reconstruction of radar information. The difficult problem of ultra wide band radar system digital sampling is solved; and a signal reconstruction effect is guaranteed, and the realizing difficulty and the cost of signal hardware modulation are effectively reduced at the same time.