Application of Bispectrum Estimation for Time-Frequency Analysis of Ground Surveillance Doppler Radar Echo Signals

Classification of ground moving targets using bicepstrum-based features extracted from Micro-Doppler radar signatures

“…The evident presence of phase-coupled harmonics retrieved from real radar measurements performed by a ground surveillance microwave radar has been shown in [6]. It has also been demonstrated [6] that multi-component and chirp-like returns collected by surveillance radar contain the contributions of a number of correlated scattering centers spatially distributed on the surface of the moving human body.…”

“…We have demonstrated in our previous study [6,7] that the swinging legs and arms of a walking person are not independent mechanical sources provoking time-varying instantaneous frequencies (IF) in the m-D spectrum content, but are related to each other via the "common basis" or "common carrier" which is the translating and swaying human torso.…”

“…It has also been demonstrated [6] that multi-component and chirp-like returns collected by surveillance radar contain the contributions of a number of correlated scattering centers spatially distributed on the surface of the moving human body. Extraction of these bicoherent dependences and studying their evolutionary behavior enables the acquisition of a new class of information features for solving the tasks of radar target recognition, identification and classification.…”

“…In recent years, radar analysis of human motion using measurements of evolutionary Doppler frequency variations has been under intensive study [1][2][3][4][5][6][7][8][9]. Recognition, identification and classification of persons moving in a vegetation cluttered environment using ground surveillance Doppler radar systems have a number of applications including security, military intelligence and battlefield purposes.…”

“…It has been shown in our previous articles [6,7,10,11] that sophisticated bispectrum-based signal processing permits the extraction and use for radar target recognition of the discrimination and classification of phase coupled harmonics in raw radar backscattering contaminated by additive white Gaussian noise (AWGN) and vegetation clutter. The distinctive benefits of the bispectrum-based radar signature compared to a common energy-based spectrogram can be characterized as follows.…”