Abstract:
A radar system is provided that includes a receive channel including a complex baseband and a processor coupled to the receive channel to receive a first plurality of digital intermediate frequency (IF) samples from an in-band (I) channel of the complex baseband and a corresponding second plurality of digital IF samples from a quadrature (Q) channel of the complex baseband, wherein the processor is configured to execute instructions to compute at least one failure metric based on the first plurality of digital IF samples and the second plurality of digital IF samples.
Abstract:
In accordance with described examples, a method determines if a velocity of an object detected by a radar is greater than a maximum velocity by receiving on a plurality of receivers at least one frame of chirps transmitted by at least two transmitters and reflected off of the object. A velocity induced phase shift (φd) in a virtual array vector S of signals received by each receiver corresponding to a sequence of chirps (frame) transmitted by each transmitter is estimated. Phases of each element of virtual array vector S are corrected using φd to generate a corrected virtual array vector Sc. A first Fourier transform is performed on the corrected virtual array vector Sc to generate a corrected virtual array spectrum to detect a signature that indicates that the object has an absolute velocity greater than a maximum velocity.
Abstract:
A GNSS receiver to track low power GNSS satellite signals. The GNSS receiver includes a frequency locked loop (FLL) that measures a current doppler frequency of the satellite signal. A delay locked loop (DLL) measures a current code phase delay of the satellite signal. A current operating point corresponds to the current doppler frequency and the current code phase delay of the satellite signal. A grid monitor receives the satellite signal and the current operating point, and measures a satellite signal strength at a plurality of predefined offset points from the current operating point. The FLL and the DLL are centered at the current operating point. A peak detector is coupled to the grid monitor and processes the satellite signal strengths at the plurality of predefined offset points and re-centers the FLL and the DLL to a predefined offset point with the satellite signal strength above a predefined threshold.
Abstract:
A method of acquiring a satellite signal in a GNSS receiver includes multiplying a received signal with a hypothesized doppler frequency signal to generate a frequency shifted signal. A PN code sequence signal is multiplied with the frequency shifted signal to generate a PN wiped signal. A windowing function signal is multiplied with the PN wiped signal to generate a windowed signal. The windowed signal is integrated coherently for a first predefined time to generate a coherent accumulated data.
Abstract:
The disclosure provides a radar apparatus. The radar apparatus includes a transmit unit that generates a first signal in response to a reference clock and a feedback clock. The first signal is scattered by one or more obstacles to generate a second signal. A receive unit receives the second signal and generates N samples corresponding to the second signal. N is an integer. A conditioning circuit is coupled to the transmit unit and the receive unit. The conditioning circuit receives the N samples corresponding to the second signal, and generates N new samples using an error between the feedback clock and the reference clock.
Abstract:
Binary frequency shift keying modulation is implemented by choosing appropriate phases of a high frequency clock to generate a modulated intermediate clock frequency. The high frequency clock is chosen to be (M+0.5)*fc, where fc is the carrier frequency and M is an integer. Depending on the binary data ‘1’ or ‘0’ to be transmitted, ‘M’ or ‘M+1’ clock phases from the high frequency clock are converted to an intermediate clock that is 2*N times faster than the carrier frequency, where N is an integer. This intermediate clock, generated entirely in the digital domain, has the required data modulation in it, and is used to generate N pulse width modulated (PWM) phases of waveforms operating at the carrier frequency. The N phases are then weighed appropriately to synthesize a sine waveform whose lower harmonics are substantially suppressed.
Abstract:
A method of processing received satellite signals is provided. The method includes detecting frequency, power level, code phase and doppler frequency of a plurality of satellite signals and frequency and power level of a plurality of spurious signals. The plurality of spurious signals is ranked based on one or more ranking parameters. A first subset of the plurality of spurious signals which are ranked equal or above a threshold rank are processed through a plurality of notch filters and a second subset of the plurality of spurious signals which are ranked below the threshold rank are processed through a weeding filter.
Abstract:
Radar detection of an object is achieved by identifying a first range associated with a possible object based on a first return from a first radar transmission having a first chirp rate, and identifying a second range associated with the possible object based on a second return from a second radar transmission having a second chirp rate that differs from the first chirp rate. The first and second ranges are evaluated together to determine whether the possible object is a true object.
Abstract:
An apparatus comprises processor cores and computer-readable mediums storing machine instructions for the processor cores. When executing the machine instructions, the processor cores obtain received signals for transmitted chirps from a radar sensor circuit. Each transmitted chirp comprises an A chirp segment, a time gap, and a B chirp segment, respectively. The processor cores sample the received signals to obtain sampled data matrices M1(A) for the A chirp segments and M1(B) for the B chirp segments. The processor cores perform a first Fourier transform (FT) on each column of M1(A) and M1(B) to obtain velocity matrices M2(A) and M2(B), respectively. The processor cores apply a phase compensation factor to M2(B) to obtain a phase corrected velocity matrix M2(B′), and concatenate M2(A) and M2(B′) to obtain an aggregate velocity matrix M2(A&B′). The processor cores perform a second FT on each row of M2(A&B′) to obtain a range and velocity matrix M3(A&B′).
Abstract:
Signal processing comprising, first, determining a plurality of fast Fourier transform (FFT) values corresponding to each sample in a plurality of signal samples, second, variably compressing ones of the FFT values at different non-zero levels of compression, and third, storing the variably compressed ones of the FFT values.