Abstract
SummaryThe existing interference suppression algorithms for direct sequence spread spectrum (DSSS) communications are confined to the high sampling rate. The compressive sensing is addressed to solve the problem in this paper. Firstly, the mathematical model of interference suppression in compressed domain is introduced; the DSSS signal and interference sparse dictionary is built. Secondly, according to the difficulty in obtaining the prior information of the interference signal sparse degree, the adaptive interference suppression algorithm is proposed by setting the reasonable control threshold. A comprehensive analysis and comparison of the algorithm are presented and discussed. The numerical experiments are provided to demonstrate the effectiveness of the proposed algorithm. The results show that the algorithm could suppress the interference effectively; the interference suppression performance does not change with the interference intensity and interference quantity. This will provide an effective method for the reconstruction of the compressed DSSS signal under the scenario of interference. The results obtained here may also be applicable in alternative spread spectrum technologies, like code division multiple access system.
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