关键词: 信号分选, 压缩感知, 样本空间, 稀疏字典, 稀疏表示

Abstract:

The traditional radar signal sorting methods are concentrated in feature difference in time, space and frequency domains for signal separation and detection. The random overlapping signals of time,space and spectrum in the complicated electromagnetic environment make the existing methods difficult to distinguish. For these problems, a new radar signal sorting algorithm based on the compressed sensing was proposed. The radar signals for sorting can be represented sparsely in dictionary constituted by signal samples. The algorithm can obtain all the information with a small amount of observational data, the radar signals are sorted effectively. Simulation indicates that the signals can be rapidly sorted using this algorithm and the desired results are obtained in low signal noise ratio.

Key words: signal sorting, compressed sensing, sample space, sparse dictionary, sparse representation