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基于加窗DFT的DSSS系统变换域窄带干扰抑制技术
引用本文:张春海,卢树军,张尔扬.基于加窗DFT的DSSS系统变换域窄带干扰抑制技术[J].解放军理工大学学报,2004,5(4):11-15.
作者姓名:张春海  卢树军  张尔扬
作者单位:国防科学技术大学电子科学与工程学院 湖南长沙410073 (张春海,卢树军),国防科学技术大学电子科学与工程学院 湖南长沙410073(张尔扬)
基金项目:国防科技重点实验室资助项目 ( 2 0 0 0 JS63 .3 .1.KG0 1.1) .
摘    要:针对基于加窗离散傅里叶变换(DFT)的直接序列扩频(DSSS)系统窄带干扰抑制工程实现中的关键技术,分析了重叠相加法减小加窗对接收信号失真的效果,并首次提出一种基于频域谱线的模平方服从指数分布假设条件下的干扰检测和处理算法——自适应多门限检测干扰抑制算法,分析和仿真的结果表明,该算法有较强的自适应性能,可抑制扩频系统中存在的多种窄带干扰。

关 键 词:直接序列扩频  窄带干扰抑制  离散傅里叶变换  自适应多门限检测
文章编号:1009-3443(2004)04-0011-05
修稿时间:2004年6月8日

Windowed DFT-based Narrow-band Interference Suppression for DSSS Communication System
ZHANG Chun-hai,LU Shu-jun and ZHANG Er-yang.Windowed DFT-based Narrow-band Interference Suppression for DSSS Communication System[J].Journal of PLA University of Science and Technology(Natural Science Edition),2004,5(4):11-15.
Authors:ZHANG Chun-hai  LU Shu-jun and ZHANG Er-yang
Institution:Institute of Electronic Science and Engineering,University of National Defense Technology,Changsha 410073,China;Institute of Electronic Science and Engineering,University of National Defense Technology,Changsha 410073,China;Institute of Electronic Science and Engineering,University of National Defense Technology,Changsha 410073,China
Abstract:This paper discusses the narrow-band interference suppression technology based on windowed DFT in Direct Sequence Spread Spectrum (DSSS) communication system. The overlap-add algorithm is employed to reduce the distortion of signal. A novel interference detecting and suppressing algorithm called adaptive multi-threshold detection algorithms is introduced based on the assumption that the square of magnitude of receiver signal in DFT transform domain is considered approximatly exponential distribution when only the desired signal and Additive White Gaussian Noise (AWGN) are present in the receiver. The numerical results show that the algorithm offers several significant advantages over similar techniques that have been used so far.
Keywords:DSSS(Direit Sequence Spread Spectrum)  narrow-band interference suppression  DFT  adaptive multi-threshold detection
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