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Micro-Doppler effect corresponds to non-stationary components in the time–frequency domain, while the rigid body can be considered as a stationary signal during the processing time. This property is used in the first part of the study to present the method for separation recovery based on the compressive sensing theory. Recovery bounds are based on the restricted isometry property or the coherence...
The algorithm for compressive sensing reconstruction of signals with sinusoidal phase modulation is proposed. The signal is firstly demodulated and reduced to a set of sparse sinusoids, while the reconstruction is achieved by exploiting the sparsity in the DFT domain. The demodulation process is based on the parameters search method which also employs specific compressive sensing reconstruction procedure...
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