Adaptive Algorithm for Anti-Jamming in Broadband Communication

2014 ◽  
Vol 716-717 ◽  
pp. 1252-1256 ◽  
Author(s):  
Jian Hua Cui ◽  
Nai Ping Cheng

This paper presents a method to suppress narrowband interference in the direct sequence spread spectrum communication based frequency domain adaptive algorithm. The method determines the interference threshold by N-sigma algorithm and calculates the cut-off condition by separating the signal. The method suppresses the narrowband interference by frequency domain batch algorithm. This paper gives a detailed design method and simulation results, and makes a performance comparison with other methods. The results show that, the method in this paper has better performance than other methods. It is suitable for narrowband interference suppression in broadband systems.

2014 ◽  
Vol 610 ◽  
pp. 944-948
Author(s):  
Jin Bo Zhang ◽  
Jian Cheng ◽  
Lei Yang

The Direct Sequence Spread Spectrum (DSSS) signal is widely used because of its good concealment and anti-jamming performance. The Compressive Sensing (CS) theory reduced the sampling rate of the DSSS signal effectively compared with the traditional Nyquist-rate sampling theory. While in the process of CS sampling the sensing matrix and the sparse basis generally have a strong correlation when the DSSS signal is decomposed with a complete dictionary. This paper presents a novel orthogonal pretreatment method with which the incoherence between sensing matrix and sparse basis can be improved. As a result, the reconstructed signal is more accurate. Simulation results demonstrate that this method is effective and efficient.


Sign in / Sign up

Export Citation Format

Share Document