Direct Wave and Clutter Cancellation Algorithm Based on Noise Signal and Compressed Sensing

Direct wave and clutter suppression is one of the key issues in the bistatic noise FMCW (frequency modulation continuous wave) radar system. In the traditional compressed sensing method based on direct wave and clutter suppression algorithm, the fuzzy operation results in the high computational complexity. In this paper, the direct wave and clutter cancellation algorithm based on the noise signal and compressed sensing is proposed, which takes the advantage of the sparseness in the range-Doppler map and the random characteristics of the noise FMCW signal. The algorithm directly generates the sparse base matrix in the time domain by the delay and Doppler modulation of the reference signals. Moreover, it avoids the data redundancy in the process of obtaining the sensing matrix and measurement vector. In addition, the sparse representation of the direct wave and clutter, the construction of the measurement matrix are both demonstrated. Finally, by comparing other suppression algorithms, the real-life data processing verifies the validity of the proposed algorithm.