Abstract: A frequency modulated continuous wave (FMCW) light detection and ranging (LIDAR) system includes a processor and a memory. The memory stores instructions that, when executed by the processor, cause the system to: receive samples of a range-dependent time domain baseband signal; assemble the samples into sample blocks in the time domain; convert the sample blocks from the time domain to the frequency domain; generate subbands in the frequency domain from converted sample blocks; classify the subbands into a plurality of subband types based on subband typing criteria; select subband processing parameters for each of the subbands based on respective ones of the plurality of subband types; and process each of the subbands using the selected subband processing parameters for the subband.

Abstract: A light detection and ranging (LIDAR) system includes an automatic gain control (AGC) unit to reduce the dynamic range, reducing processing power and saving circuit area and cost. The system detects a return beam of a light signal transmitted to a target, having a first dynamic range in a time domain. An analog to digital converter (ADC) generates a digital signal based on the return beam. A processor can perform time domain processing on the digital signal, convert the digital signal from the time domain to a frequency domain, and perform frequency domain processing on the digital signal in the frequency domain. The AGC unit can measure a power of the return beam, and apply variable gain in the time domain to reduce a dynamic range of the return beam to a second dynamic range lower than the first dynamic range.

Abstract: A number of measurements of an input spectrum is determined based on a scan mirror speed of the LiDAR system and a predetermined accuracy threshold in the number of measurements of the input spectrum. A set of signals are sampled at the LiDAR system and the set of signals are converted to a frequency domain to generate a set of sampled signals in the frequency domain. The set of signals are received consecutively over time. A set of first functions are created based on the set of sampled signals. The set of first functions are averaged to generate a second function. The second function represents a power spectrum density estimate of the set of signals. A peak value of the second function is detected to determine range and velocity information related to a target based on a corresponding frequency of the peak value of the second function.

Abstract: A light detection and ranging (LIDAR) system to transmit optical beams including at least two up-chirp signals and at least two down-chirp signals toward targets in a field of view of the LIDAR system and receive returned signals of the up-chirp and the down-chirp as reflected from the targets. The LIDAR system generates a baseband signal in a frequency domain of the returned signals of the at least two up-chirp signals and the at least two down-chirp signals. The baseband signal includes a first set of peaks associated with the at least one up-chirp signal and a second set of peaks associated with the at least one down-chirp signal. The LIDAR system determines the target location using the first set of peaks and the second set of peaks.

Abstract: A light detection and ranging (LIDAR) system to transmit optical beams including at least up-chirp frequency and at least one down-chirp frequency toward targets in a field of view of the LIDAR system and receive returned signals of the up-chirp and the down-chirp as reflected from the targets. The LIDAR system may perform IQ processing on one or more returned signals to generate baseband signals in the frequency domain of the returned signals during the at least one up-chirp and the at least one down-chirp. The baseband signal includes a first set of peaks associated with the at least one up-chirp frequency and a second set of peaks associated with the at least one down-chirp frequency. The LIDAR system determines the target location using the first set of peaks and the second set of peaks.

Abstract: A light detection and ranging (LIDAR) system, includes an optical source to generate a frequency modulated continuous wave (FMCW) optical beam, a memory, and a processor, operatively coupled to the memory, to identify energy peaks in a frequency domain of a range-dependent baseband signal that corresponds to a return signal from a reflection of the FMCW optical beam and identify an obstruction of the LIDAR system based on a comparison of a frequency of the energy peaks to a threshold frequency.

Abstract: A light detection and ranging (LIDAR) system to transmit an optical beam toward a target and receive a returned optical beam. The optical beam includes an up-chirp frequency and a down-chirp frequency, and is modulated to have phase non-linearities. The LIDAR system generates a baseband signal from the returned optical beam, which includes a plurality of peaks corresponding with the up-chirp frequency and the down-chirp frequency. The LIDAR system identifies a first true peak in the baseband signal, and identifies a second true peak in the baseband signal based, at least in part, on a spectral shape of the second true peak caused by the phase non-linearities. The LIDAR system is to determine the location of the target using the first true peak and the second true peak.

Abstract: A return signal from a target is received based on an optical beam from an optical source of a LiDAR system. The return signal is sampled and converted to a frequency domain, where the return signal comprises a first frequency waveform. A matched filter is selected, where the matched filter comprises a second frequency waveform to match the first frequency waveform. The matched filter is updated by updating a set of coefficients of the second frequency waveform. The return signal is filtered by the updated matched filter to generate a filtered return signal to extract range and velocity information of the target.

Abstract: A method includes transmitting a plurality of optical beams towards a plurality of targets, receiving a plurality of return signals based on reflections of the plurality of optical beams from the plurality of targets, and generating a first plurality of peaks each associated with a different up-chirp frequency of the plurality of optical beams and a second plurality of peaks each associated with a different down-chirp frequency of the plurality of optical beams. The method further includes determining peak shape similarities between each of the first plurality of peaks and the second plurality of peaks, pairing each peak of the first plurality of peaks with a peak of the second plurality of peaks based on the peak shape similarities, and identifying the plurality of targets based on the pairing.

Abstract: A method of adjusting a detection threshold in a frequency-modulated continuous wave (FMCW) light detection and ranging (LIDAR) system includes determining a first confidence threshold for detecting a first target from multiple targets within a frequency range, wherein the frequency range comprises frequencies corresponding to the targets. The method further includes determining a subset of frequencies within the frequency range for detecting a second target. The second target transmits signals within the subset of frequencies lower than the first confidence threshold. The method further includes adjusting the first confidence threshold to a second confidence threshold at the subset of frequencies for detecting the second target within the subset of frequencies and restoring the second confidence threshold to the first confidence threshold outside the subset of frequencies for detecting the first target.

Abstract: A system including an optical receiver to receive a return beam from the target. The optical receiver is to combine a second frequency modulate signal portion transmitted towards a local oscillator with a first frequency modulate portion to produce a beat frequency. The system further including a processor and a memory to store instructions executable by the processor. The processor to sample the beat frequency to produce a plurality of frequency subbands, and classify the plurality of frequency subbands into a plurality of subband types based on a subband criteria. The processor further to select one or more subband processing parameters based on the subband criteria, and process the plurality of frequency subbands, using the subband processing parameters, to determine a range and velocity of the target.

Abstract: A set of signals are sampled at the LiDAR system and the set of signals are converted to a frequency domain to generate a set of sampled signals in the frequency domain. The set of signals are received consecutively over time. A set of first functions are created based on the set of sampled signals. The set of first functions are averaged to generate a second function. The second function represents a power spectrum density estimate of the set of signals. A peak value of the second function is detected to determine range and velocity information related to a target based on a corresponding frequency of the peak value of the second function.

Abstract: A light detection and ranging (LIDAR) system to transmit optical beams including at least up-chirp frequency and at least one down-chirp frequency toward targets in a field of view of the LIDAR system and receive returned signals of the up-chirp and the down-chirp as reflected from the targets. The LIDAR system generates a baseband signal in a frequency domain of the returned signals of the at least one up-chirp frequency and the at least one down-chirp frequency. The baseband signal includes a first set of peaks associated with the at least the at least one up-chirp frequency and a second set of peaks associated with the at least one down-chirp frequency. The LIDAR system determines the target location using the first set of peaks and the second set of peaks.

Abstract: A return signal associated with a frequency modulated continuous wave (FMCW) optical beam is received. A correction for Doppler scanning artifacts in the return signal is made. A determination as to whether the return signal is caused by an obstruction on or proximate to a LIDAR window is made. A field of view (FOV) reflectivity map is generated based on the determination. The FOV reflectivity map is analyzed by identifying an obstructed FOV of the LIDAR system and determining a reflected energy from the obstructed FOV.

Abstract: A frequency modulated continuous wave (FMCW) light detection and ranging (LIDAR) system includes a memory and a processor, operatively coupled to the memory, to generate a set of frequency subbands in a time domain based on an electrical signal from one or more optical detectors and filter the set of frequency subbands in the time domain based on one or more characteristics of each of the set of frequency subbands to obtain a subset of the set of frequency subbands based on at least two separate signal thresholds. The processor is further to convert the subset of the plurality of frequency subbands in the time domain to one or more subband signals in a frequency domain and detect signal peaks in the one or more subband signals in the frequency domain corresponding to target ranges in a field of view of the FMCW LIDAR system.

Abstract: A first signal is sampled at the LiDAR system to produce a first set of samples around a first detected frequency peak related to the first signal. A second signal is sampled at the LiDAR system to produce a second set of samples around a second detected frequency peak related to the second signal. A first function based on the first set of samples and a second function based on the second set of samples are convolved to produce a third function. At least one of the first signal or the second signal is refined to produce at least one of a first refined signal or a second refined signal based on the third function. Range and velocity information is extracted related to a target based on the at least one of the first refined signal or the second refined signal.

Abstract: A received signal is sampled at the LiDAR system and the received signal is converted to a frequency domain, where the received signal comprises a first frequency waveform. A matched filter is selected, where the matched filter comprises a second frequency waveform with a set of coefficients to match the first frequency waveform. The set of coefficients are updated according to a set of metrics. The received signal is filtered by the matched filter to generate a filtered received signal. Range and velocity information is extracted from the filtered received signal.

Abstract: A method includes transmitting one or more optical beams, each optical beam including different frequency chirps towards targets in a field of view of a light detection and ranging (LIDAR) system, receiving return signals based on reflections from the targets, each return signal including a different frequency, and generating a baseband signal in a frequency domain based on the return signals, the baseband signal including a first set of peaks each associated with a different up-chirp frequency and a second set of peaks each associated with a different down-chirp frequency. The method further includes generating one or more metrics associated with each of the first set of peaks and each of the second set of peaks and identifying the targets based on a pairing of each peak of the first set of peaks with a peak of the second set of peaks using the one or more metrics.

Abstract: A method includes transmitting one or more optical beams, each optical beam including different frequency chirps towards targets in a field of view of a light detection and ranging (LIDAR) system, receiving return signals based on reflections from the targets, each return signal including a different frequency, and generating a baseband signal in a frequency domain based on the return signals, the baseband signal including a first set of peaks each associated with a different up-chirp frequency and a second set of peaks each associated with a different down-chirp frequency. The method further includes generating one or more metrics associated with each of the first set of peaks and each of the second set of peaks and identifying the targets based on a pairing of each peak of the first set of peaks with a peak of the second set of peaks using the one or more metrics.

Abstract: A set of signals are sampled at the LiDAR system and the set of signals are converted to a frequency domain to generate a set of sampled signals in the frequency domain. The set of signals are received consecutively over time. A set of first functions are created based on the set of sampled signals. The set of first functions are averaged to generate a second function. The second function represents a power spectrum density estimate of the set of signals. A peak value of the second function is detected to determine range and velocity information related to a target based on a corresponding frequency of the peak value of the second function.