Sharpening and bandwidth extrapolation techniques for radar micro-Doppler feature extraction

This paper presents a time-frequency analysis sharpening technique based on bandwidth extrapolation (BWE). The method utilizes a new extremely high resolution 2D linear prediction/lattice algorithm to enhance instantaneous time and instantaneous frequency details of conventional short-time Fourier transform (STFT) time-frequency analysis (TFA). The approach preserves extreme high dynamic range (DNR), over 100 dB, in the data without introducing debilitating cross-term artifacts that severely obscure weak features in the TFA, such as those introduced by quadratic TFAs like the Wigner and Cohen TFA representations. We demonstrate the performance of the new high detail TFA for micro-Doppler feature extraction in actual X-band airborne moving target (AMTI) and ground-borne moving target (GMTI) applications. This paper illustrates the AMTI case; the GMTI will be provided at the conference.