A novel method for solving Doppler ambiguous problem based on compressed sensing
(CS) theory is proposed in this paper. According to the Restricted Isometry Property (RIP) of
the CS sensing matrix, a sparse pulse train are randomly extracted from traditional fixed
repetition frequency pulses, and then a random perturbation item is added to the transmitting
time of each selected pulse. The received signals after matched filtering can be viewed as
randomly sparse sampling from the traditional fixed-PRF (pulse repetition frequency) echo …

A novel method for solving Doppler ambiguous problem based on compressed sensing
(CS) theory is proposed in this paper. A pulse train with the random and sparse transmitting
time is transmitted. The received signals after matched filtering can be viewed as randomly
sparse sampling from the traditional fixed‐pulse repetition frequency (PRF) echo signals.
The whole target echo could be reconstructed via CS recovery algorithms. Through refining
the sensing matrix, which is equivalent to increase the sampling frequency of target …