%0 Journal Article
%A DONG Chun-xi
%A LIU Song-yang
%A SHEN Zhi-bo
%T Radar Signal Sorting Method on Compressed Sensing
%D 2016
%R 10.13190/j.jbupt.2016.02.017
%J Journal of Beijing University of Posts and Telecommunications
%P 82-87
%V 39
%N 2
%X <p>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.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.02.017