Sonar pulse detection using chirp rate estimation and CFAR algorithms

This paper presents a new approach to sonar pulse detection. The method uses chirp rate estimators and algorithms for the adaptive threshold, commonly used in radiolocation. The proposed approach allows detection of pulses of unknown parameters, which may be used in passive hydrolocation or jamming detection in underwater communication. Such an analysis is possible thanks to a new kind of imaging, which presents signal energy in the function of chirp rate. The proposed method relies on chirp rate estimation of the received signal, and the calculation of the local threshold level depends on noise and reverberations which make detection of a particular type of signal possible.

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Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).