TL;DR: In this paper, a method for processing a received signal in a radar system, including an echo signal reflected from an object, and a leakage signal comprising a portion of a transmit signal which travels directly from the transmitter to the receiver of the radar system is provided.
Abstract: A method of processing a received signal in a radar system is provided, the received signal including an echo signal reflected from an object, and a leakage signal comprising a portion of a transmit signal which travels directly from the transmitter to the receiver of the radar system. The method comprises converting the received signal so that the echo and leakage signals are converted to repeating waveforms, generating a model of the repeating leakage waveform, and subtracting a signal based on the model from the converted received signal to cancel the repeating leakage waveform. In one embodiment, the model comprises a plurality of bins, each storing an exponential running average of the converted received signal over a plurality of repeat periods of the repeating leakage waveform.
TL;DR: In this paper, the apparent sample rate of data collected using Nyquist sampling from a system, such as Continuous Wave (CW) Light Detection and ranging (Lidar), Radio Detection and Range (Radar), or Sound Navigation and Ranging (Sonar) is enhanced by reordering of the data in the frequency domain, resulting in a highly interpolated range profile where the data resolution may be enhanced by a factor equal to the number of repeats in the signal being processed, and may result in a high precision.
Abstract: Systems, methods, and devices may enhance the apparent sample rate of data collected using Nyquist sampling from a system, such as Continuous Wave (CW) Light detection and ranging (“Lidar”), Radio detection and ranging (“Radar”), or Sound Navigation and Ranging (“Sonar”), that has been modulated with a repeating waveform, such as linear swept frequency, by reordering of the data in the frequency domain. The enhancement of the apparent sample rate may result in a highly interpolated range profile where the data resolution may be enhanced by a factor equal to the number of repeats in the signal being processed, and may result in a highly detained range measurement with a high precision. The various embodiments may combine data from multiple modulation repeats into a single highly interpolated pulse, which may result in a real-time finer range measurement from CW Lidar, Radar, or Sonar systems.
TL;DR: The purpose of the report is to further the theory of signal detectability for underwater acoustics by determining the detection performance for optimum receivers for various signals and signal-to-noise conditions.
Abstract: : The report investigates the detectability of a broad class of signals that occur in active sonar, passive sonar, and active radar. The signals investigated are detectable at low signal-to-noise ratio because they are composed of repeating waveforms. The purpose of the report is to further the theory of signal detectability for underwater acoustics by determining the detection performance for optimum receivers for various signals and signal-to-noise conditions. The work deals with a mathematical model of the signals and the noise. It is not an analysis directed at any existing detection system. For practical situations which are approximately those of the models the work yields an approximate upper bound on the detection performance that can be achieved. The specific cases of recurrent-transient signals in white Gaussian noise considered are: (1) M orthogonal waveforms, periodic recurrence, (2) M orthogonal waveforms, synchronous-Poisson recurrence, and (3) sporadic recurrent waveforms of known waveshape. These cases are important in passive sonar because they describe situations which have a wide range of waveform uncertainty as well as recurrence-time uncertainty. (Author)