Narrowband interference detection technique based on least mean square algorithm

Interference suppression technique is usually used to improve the interference tolerance of DSSS (Direct Spread Spectrum System). In the case of no interference or little interference, direct implementation of interference suppression will causes a great SNR loss at receiver. Narrowband interference detection technique can effectively solve this problem. Classical narrowband interference detection technique can only work well at low SNRs. In this study, a novel interference detection algorithm based on LMS algorithm is proposed; this algorithm can be adopted at a large range of SNRs or at high SNRs. For different SNRs, this algorithm can adaptively select threshold to detect interference effectively with high detection rate as well as low false detection rate. Compared with other algorithms, the algorithm is simple in principle and easy to implement.