基于LMS算法的窄带干扰检测技术 -- 西北工业大学学报,2016,34(1):92-97
论文:2016,Vol:34,Issue(1):92-97
引用本文:
张兆林, 李路, 姚如贵, 王伶. 基于LMS算法的窄带干扰检测技术[J]. 西北工业大学学报
Zhang Zhaolin, Li Lu, Yao Rugui, Wang Ling. Narrowband Interference Detection Technique Based on Least Mean Square Algorithm[J]. Northwestern polytechnical university

基于LMS算法的窄带干扰检测技术
张兆林, 李路, 姚如贵, 王伶
西北工业大学 电子信息学院, 陕西 西安 710072
摘要:
直扩系统通常采用干扰抑制技术提高系统的干扰容限。在无干扰或小干扰情况下,直接进行干扰抑制会给接收端带来极大的信噪比损失,而窄带干扰检测技术可以有效解决这一问题。传统的窄带干扰检测技术常用于低信噪比情况下,而本文提出的基于LMS算法的干扰检测算法能够较好的适用于大信噪比范围与高信噪比情况,对于不同的信噪比该算法可以自适应选取相应的门限以较高的干扰检测率与较低误检率有效检测干扰,同时相对于其他算法该算法原理简单,容易实现。
关键词:    直扩系统    LMS算法    信噪比    干扰检测    误检率   
Narrowband Interference Detection Technique Based on Least Mean Square Algorithm
Zhang Zhaolin, Li Lu, Yao Rugui, Wang Ling
Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
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.
Key words:    DSS(Direct Spread Spectrum System)    LMS( Least Mean Square) algorithm    signal to noise ratio    interference detection    false detection rate   
收稿日期: 2015-10-09     修回日期:
DOI:
基金项目: 国家自然科学基金(61271416、61301093、61501376)、中央高校基本科研业务费专项基金(3102014KYJD027)与陕西省自然科学基础研究计划(2014JM2-6094)资助
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作者简介: 张兆林(1978-),西北工业大学副教授、博士,主要从事无线通信、卫星导航抗干扰及多媒通信研究。
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