无先验知识条件下DSSS信号的检测  

The Blind Detection of DSSS Signal without a Priori Knowledge

作　　者：赖利峰[1] 张朝阳[1] 管云峰[1] 仇佩亮[1] 

机构地区：[1]浙江大学信息与通信工程研究所,浙江杭州310027

出　　处：《电路与系统学报》2003年第5期114-118,共5页Journal of Circuits and Systems

基　　金：国家自然科学基金资助项目(60002003)

摘　　要：直接序列扩频信号(DSSS)一般说来其信噪比都小于0dB,在不知道任何扩频参数的情况下,对这种信号的检测很困难。在这篇文章中,提出了一种能对埋没在噪声之中的DSSS信号进行盲检测的结构,它不需知道任何发射机的参数。它基于接收信号的二阶统计量,并用长时积分以弥补信噪比低的问题。本文证明了在两种不同的假设情况下,统计量的分布参数是不同的。文中也给出了仿真结果,证实了这种结构确实能检测出低于噪声的直接序列扩频信号。Generally the SNR of Direct sequence spread spectrum signal is less than 0dB,which makes it very difficult to be detected under the condition that the parameters of the transmitter is unknown. A blind detection algorithm capable of detecting the DSSS signals even when it is weaker than the noise level is proposed. According to this algorithm, it is not necessary to know any parameters of transmitter. The proposed algorithm is based on second order moment, and the problem of low SNR is compensated by long time integral. It is proven that the statistical distribution parameter changes under different hypothesis. The simulation result is also given to verify the effectiveness of this algorithm.

关 键 词：盲检测 直接序列扩频 二阶统计量 

分 类 号：TN929[电子电信—通信与信息系统]