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The micro-Doppler (m-D) feature is regarded as a unique characteristic for target recognition. Sparse recovery based approaches for m-D parameter estimation using the single measurement vector (SMV) model have shown their effectiveness recently. However, SMV only fits for narrowband m-D signals, and accurate parameters can hardly be estimated using SMV in strong noise. The signals with the same sparse...
The Fourier-Bessel (FB) series expansion with a variable window length is introduced to determine the number of multi-component linear frequency modulated (LFM) signals, and to separate the signal components. This method is mainly tackled into two stages, with the first being a coarse component number detection, which is determined as the number of pinnacles obtained by the fractional Fourier transform...
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