A method for human detection includes: receiving first and second echo signals using a millimeter-wave radar to produce first and second sets of data, respectively; selecting first and second angles based on the first and second sets of data, respectively; performing a FrFT on the first set of data using the first angle; identifying first targets by comparing peaks of the FrFT of the first set of data with a first threshold; performing a FrFT on the second set of data using the second angle; identifying second targets by comparing peaks of the FrFT of the second set of data with the first threshold; generating a set of target tracks based on the identified first and second targets; and associating a target track with a human track based on comparing each target track of the set of target tracks with a set of reference track signatures.

A method of processing a radar hit from an object using, for each of a plurality of cells, a signal strength threshold, a hit rate threshold, a time of last detection; and receiving, for one of the plurality of cells corresponding to the object, a measured signal strength, a measured hit rate and a time of measurement. The object is identified as clutter if the measured hit rate is greater than the hit rate threshold, and the measured signal strength is less than signal strength threshold. The signal strength threshold is above a conventional CFAR signal threshold. Measured Doppler strength may also be used to identify clutter. Identification can be determined using Doppler-polarity-specific data values. The hit rate and the mean Doppler speed of the one of the plurality of cells can be updated using a running average.

A signal power detection method is fused with a double-difference phase modulation detection method to provide a higher-performance method of pulse detection for any digital receiver. The first pulse detection technique uses a signal power threshold. When the square of the magnitude of a pulse crosses the signal power threshold, the beginning of a pulse is declared and pulse processing starts. The second pulse detection technique is model based and uses a windowed detector that crosses a phase difference threshold when the pulse has consistent second-order (in general d-th order) difference phase values within the window. The first technique has low latency and is independent of pulse width, but only operates well at SNR values greater than 15 dB. The second technique has higher latency and requires a minimum pulse width, but operates at lower (approximately 0 dB) SNR values.

A method of processing a radar hit from an object using, for each of a plurality of cells, a signal strength threshold, a hit rate threshold, a time of last detection; and receiving, for one of the plurality of cells corresponding to the object, a measured signal strength, a measured hit rate and a time of measurement. The object is identified as clutter if the measured hit rate is greater than the hit rate threshold, and the measured signal strength is less than signal strength threshold. The signal strength threshold is above a conventional CFAR signal threshold. Measured Doppler strength may also be used to identify clutter. Identification can be determined using Doppler-polarity-specific data values. The hit rate and the mean Doppler speed of the one of the plurality of cells can be updated using a running average.

A search area width setting unit for setting a search area width having a frequency corresponding to a signal component of an object by using detection information of the object is included, and a signal component selecting unit determines a search area having the search area width set by the search area width setting unit and selects a signal component a frequency of which is included in the search area from each of a signal received by a signal receiving unit and signals received by object detection devices. As a result, an increase in the false detection probability of the object can be suppressed even in a case where the reception signals have low signal power-to-noise power ratios.

A system, method and apparatus for detecting a plurality of targets in a radar device are disclosed. A transmitter transmits a source signal and a receiver receives echo signals from reflection of the source signal from the plurality of targets. A composite signal is generated that includes a plurality of target signals from the plurality of echo signals. A largest signal in the composite signal is identified and a value of a parameter of the largest signal is estimated. A representative signal is generated as a convolution of a point target having the estimated value of the parameter. The representative signal is subtracted from the composite signal to obtain a remaining signal. Another of the plurality of targets is determined using the remaining signal.

An accelerator device for use in generating a list of potential targets in a radar system, such as an anti-collision radar for a motor vehicle, may process radar data signals arranged in cells stored in a system memory. A cell under test in is identified as a potential target if the cell under test is a local peak over boundary cells and is higher than a certain threshold calculated by sorting range and velocity radar data signals arranged in windows. The cells identified as a potential target are sorted in a sorted list of potential targets. The accelerator device may include a double-buffering local memory for storing cell under test and boundary cell data; and a first and a second sorting unit for performing concurrent sorting of the radar data signals arranged in windows and the cells identified as a potential target in pipeline with accesses to the system memory.

The present invention relates to a method for removing a noise tone in a digital region of an imaging radar receiver, an imaging radar receiver therefor, and a program recording medium. A method for removing a noise tone in a digital region of an imaging radar receiver using a D-ramping structure according to an embodiment of the present invention is characterized by comprising the steps of: (a) extracting a noise tone location of a D-ramped image signal; (b) selecting a noise tone to be removed from the extracted noise tones using step (a); and (c) removing the selected noise tone of step (b) from source data.

Methods and systems for detection of an occupancy status of a space monitored by a system (100) are described herein. The method comprises detecting a magnetic field value at the space by a magnetic field sensor (210) of a sensing device (104). The detected magnetic field value with a reference magnetic field value, to determine a magnetic occupancy status (MOS) of the space. The MOS is indicative of the change in the occupancy status of the space. The change in the occupancy status is indicative of one of a change from empty to occupied occupancy status, and a change from occupied to empty occupancy status. Further, when the MOS indicates the change in the occupancy status of the space, a radar sensor (212) of the sensing device (104) is activated to determine a radar occupancy status (ROS) by generating at least one radar reading from the radar sensor (212). The ROS is indicative of the change in the occupancy status of the space. Thereafter, the change in the occupancy status of the space is established when the ROS indicating the change in the occupancy status of the space is in agreement with the MOS. Further, the established change of the occupancy status in the space is communicated to a central unit (102) of the system (100).

A range profile digitization circuit for converting a repeating analog input signal into a time series of digital amplitude values, the converter comprising: a signal quantizer arranged to receive the analog input signal and a threshold input and arranged to output a binary value quantized output signal based on a comparison of the input signal with the threshold signal; a plurality of samplers each arranged to sample and hold its input signal upon receipt of a trigger signal; and for each sampler: a plurality of decoders and a demultiplexer arranged to receive an output from the sampler and pass it to a selected one of said decoders based on a selector input. With a plurality of decoders associated with each of the samplers, each sampler can be re-used during the building up of the range profile.