摘要
针对直接序列扩频(direct sequence spread spectrum,DSSS)信号截获和参数盲估计问题,提出了一种采用延迟相乘和能量累积实现DSSS信号参数估计的新方法。该算法采用延迟相乘估计伪随机码(pseudonoise,PN)周期,将延迟相乘序列分成连续的片断,通过累积能量最大值搜索估计信息码周期,实现了PN码序列和信息序列的估计。理论分析和仿真结果表明,在加性高斯白噪声条件下,对扩频增益为GpdB的DSSS信号,在信噪比高于-Gp/2 dB的条件下,该算法能够实现稳定的参数提取。该算法不需要预先设定门限和参数,适合采用硬件设计实现。
This paper deals with the issue of direct sequence spread spectrum（DSSS） signal interception and parameter estimation,and a novel algorithm based on delay-multiply and energy accumulation is proposed.This algorithm is derived from the fact that the accumulated energy reaches the maximum if information modulation and spread spectrum modulation are both removed from the received DSSS signal.Received samples are divided into continuous segments,signal energy is accumulated for all the segments,and the length of segment equals to the information interval when accumulated energy reaches the maximum.Consequently,the PN code and information sequence can also be extracted.The algorithm presents robust features since no prior knowledge and preset thresholds are required.In the condition of additional white Gaussian noise（AWGN）,theoretical analysis and simulation results indicate that given a processing gain Gp dB,the proposed algorithm has good performance when the input singal to noise ratio（SNR） is more than-Gp/2 dB.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第10期2227-2232,共6页
Systems Engineering and Electronics
关键词
直接序列扩频信号
信号截获
延迟相乘
能量累积
direct sequence spread spectrum（DSSS）
signal interception
delay-multiply
energy accumulation
