强噪声背景下DS-SS信号检测技术  

Detection Techniques of DS-SS Signal Submerged in Heavy Noise

作　　者：张伟[1] 周劼[1] 

机构地区：[1]中国工程物理研究院电子工程研究所,四川绵阳621900

出　　处：《信息与电子工程》2007年第3期235-240,共6页information and electronic engineering

基　　金：国家安全技术基金资助项目(NSAF10676087)

摘　　要：针对如何使直接序列扩频(Direct Sequence-Spread Spectrum,DS-SS)信号检测方法适应更低的输入信噪比,详细分析了平方法、时域相关法、周期谱法和高阶累积量法等现有DS-SS信号检测方法的原理和各自的特点,并应用神经网络、混沌理论和随机振动理论进行微弱DS-SS信号检测的探索。研究表明,上述方法可以用来检测DS-SS信号。In this paper, the existing detection approaches of DS-SS signal are classified and summarized; the principle and their own specialties of the energy detection method, square double carrier frequency detection method, correlation of time domain method, cycle-spectrum method and high order cumulant detection method are analyzed in detail. For the purpose of these DS-SS signal detection methods serving the lower inputting SNR, preparatory work such as application of neural network theory, chaotic theory and stochastic vibration theory has been applied to detect the weak DS-SS signal.

关 键 词：直接序列扩频 微弱信号检测 信噪比 非线性 

分 类 号：TN914.42[电子电信—通信与信息系统]