Abstract:
A cascaded radar system is provided that includes a first radar system-on-a-chip (SOC) operable to perform an initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels of the radar SOC, a second radar SOC operable to perform the initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels in the radar SOC, and a processing unit coupled to the first radar SOC and the second radar SOC to receive results of the initial portion of signal processing from each radar SOC, the processing unit operable to perform a remaining portion of the signal processing for object detection using these results.
Abstract:
An FMCW radar is used to detect live objects by processing the matched, filtered radar return on a frame by frame basis. An FFT cross correlation coefficient is computed, followed by computing a modified geometric mean of the absolute value of the cross correlation coefficients. The modified geometric mean is then compared to a preset threshold to determine whether the object is moving or is stationary.
Abstract:
This invention is present an iterative method for joint antenna array calibration and direction of arrival estimation using millimeter-wave (mm-Wave) radar. The calibration compensates for array coupling, phase, and gain errors and does not require any training data. This method is well suited for applications where multiple antenna elements are packaged in a chip and where offline calibration is either expensive or is not possible. This invention is also effective when the array coupling is a function of direction of arriving waves from the object. It is also applicable to any two-dimensional array shape. Real experiment results demonstrate the viability of the algorithm using real data collected from a four-element array.
Abstract:
An apparatus is provided. In the apparatus, a demultiplexer is configured to receive an input signal, and each of a plurality of sample buffers are coupled to the demultiplexer. A first multiplexer is coupled to each of the sample buffers. A filter is coupled to the first multiplexer. A bypass delay circuit is coupled to the first multiplexer, and a second multiplexer is coupled to the filter and the bypass delay circuit.
Abstract:
A method for tracking objects in three dimensions in a radar system is provided that includes receiving spherical coordinates of an estimated location of each object of a plurality of detected objects, a range rate of each object, and variances for the spherical coordinates and the range rate of each object, determining whether or not each object is currently being tracked, updating a tracking vector for an object based on the object spherical coordinates, range rate, and variances when the object is currently being tracked, and initializing a tracking vector for an object when the object is not currently being tracked, wherein a tracking vector for an object is a process state vector for an extended Kalman filter designed to track an object, elements of the tracking vector including Cartesian coordinates of the object location, the object velocity in three directions, and the object acceleration in three directions.
Abstract:
An apparatus is provided. In the apparatus, a demultiplexer is configured to receive an input signal, and each of a plurality of sample buffers are coupled to the demultiplexer. A first multiplexer is coupled to each of the sample buffers. A filter is coupled to the first multiplexer. A bypass delay circuit is coupled to the first multiplexer, and a second multiplexer is coupled to the filter and the bypass delay circuit.
Abstract:
A system includes a frequency modulated continuous wave (FMCW) transceiver, a processor, and a memory. The memory stores program instructions that, when executed by the processor, cause the system to receive a signal representative of an FMCW signal reflected from an object of interest, apply a first Fourier transform to the signal to obtain range data, identify a subset of the range data corresponding to a region of interest, apply a second Fourier transform on the identified subset of the range data to obtain velocity data corresponding to the identified subset of the range data, and identify a gesture performed by the object of interest based on at least a portion of velocity data.
Abstract:
Systems and methods for color Doppler imaging in an ultrasound imaging system are disclosed herein. An ultrasound imaging system includes color Doppler imaging circuitry. The color Doppler imaging circuitry is configured to estimate flow parameters. The imaging circuitry includes a radio frequency (“RF”) demodulator configured to produce in-phase and quadrature components of an ultra-sound data vector. The RF demodulator includes a table in memory that stores interleaved sine and cosine values. The RF demodulator maintains an index value for the table having higher precision than is used to index the table. The RF demodulator rounds the index value for each access of the table. Each table access retrieves a sine value and a cosine value.
Abstract:
Systems and methods for color Doppler imaging in an ultrasound imaging system are disclosed herein. An ultrasound imaging system includes color Doppler imaging circuitry. The color Doppler imaging circuitry is configured to estimate flow parameters. The imaging circuitry includes a radio frequency (“RF”) demodulator configured to produce in-phase and quadrature components of an ultra-sound data vector. The RF demodulator includes a table in memory that stores interleaved sine and cosine values. The RF demodulator maintains an index value for the table having higher precision than is used to index the table. The RF demodulator rounds the index value for each access of the table. Each table access retrieves a sine value and a cosine value.
Abstract:
An apparatus, including processing unit (PU) cores and computer readable storage devices storing machine instructions for determining a distance between a target object and a radar sensor circuit. The PU cores receive a beat signal generated by the radar sensor circuit and compensate for a phase difference between the received beat signal and a reconstruction of the received beat signal to obtain a phase compensated beat signal. The phase compensated beat signal is then filtered to remove spurious reflections by demodulating the phase compensated beat signal using an estimated frequency of the phase compensated beat signal. The PU cores then apply a low pass filter to the demodulated phase compensated beat signal, resulting in a modified beat signal. The PU cores then determine the distance between the target object and the radar sensor circuit using the modified beat signal.