Title :
Adaptive multi-tone jamming suppression for DSSS communications based on compressive sensing
Author :
Xin Jia;Yongshun Zhang;Baohua Kou
Author_Institution :
Equipment Academy, Beijing, China
Abstract :
The existing multi-tone jamming suppression algorithms for direct sequence spread spectrum (DSSS) communications are confined to the high sampling rate. The compressive sensing (CS) was applied to solve the problem. Firstly, the DSSS signal and multi-tone jamming sparse dictionary was built, the multi-tone jamming suppression algorithm used in compressed domain was designed. Secondly, due to the difficulty in getting the prior information of the sparse degree of the jamming, the adaptive multi-tone jamming suppression algorithm was designed by setting the control threshold. The theoretical basis of the algorithm were analyzed, the effectiveness of the algorithm was verified by computer simulation. The results show that the algorithm could suppress the multi-tone jamming effectively, the performance don´t change over the jamming intensity, jamming quantity and jamming position. This will provide an effective method for the reconstruction of the compressed DSSS signal in the condition of the multi-tone jamming.
Keywords :
"Jamming","Spread spectrum communication","Algorithm design and analysis","Dictionaries","Sparse matrices","Signal processing algorithms","Sensors"
Conference_Titel :
Image and Signal Processing (CISP), 2015 8th International Congress on
DOI :
10.1109/CISP.2015.7408087