基于重叠分段MCMC的直扩信号扩频参数估计  

Estimation of Spread Spectrum Parameters for DSSS Signals Based on Overlapped Segment MCMC)

作　　者：孙雪丽 钟兆根 于柯远 SUN Xue-li;ZHONG Zhao-gen;YU Ke-yuan(Navy Aviation University,Yantai,Shandong 264001)

机构地区：[1]海军航空大学,山东烟台264001

出　　处：《计算机仿真》2020年第2期197-202,共6页Computer Simulation

基　　金：泰山学者工程专项经费资助(st201511020);国家自然科学基金重大研究计划(91538201)。

摘　　要：针对多径信道环境下长码DSSS信号的盲解扩问题,提出了一种基于重叠分段和马尔科夫链蒙特卡罗(MCMC)的估计算法。算法首先将接收到的基带信号划分为若干前后重叠的短时片段,然后分别采用MCMC算法估计出每段的扩频码和信息序列,最后利用片段间重叠部分的相似性完成序列拼接。仿真结果表明,上述算法可同时用于短码和长码信号,且不受扩频序列类型的限制。在低信噪比条件下,扩频码和信息序列均能获得较好的估计性能,能够满足工程的实际需求。For blind dispreading of long code DSSS signals in multipath channels,this paper introduces an algorithm based on overlapped segmentation and MCMC.The proposed algorithm was aim at dividing the received baseband signal into many overlapped short-time segments so as to recover the spreading code and information sequence respectively.The correlation of the overlapping segment was used to estimate the entire sequence by splicing.Simulation shows that the algorithm works well for both the short code and long code signals,and is not limited by the type of spreading sequences.Under the condition of low signal to noise ratio,both the spreading code and information sequence can obtain better estimation performance and meet the actual needs of the project.

关 键 词：直接序列扩频 长码 马尔科夫链蒙特卡罗 扩频码 信息序列 

分 类 号：TN911.22[电子电信—通信与信息系统]