电讯技术2017，Vol.57Issue(11)：1313-1319,7.DOI:10.3969/j.issn.1001-893x.2017.11.015
短码、周期长码直扩信号伪码序列盲估计
Blind Estimation of PN Sequence of Short-code and Periodic Long-code DSSS Signals
朱照阳 1高勇1
作者信息
- 1. 四川大学 电子信息学院,成都610065
- 折叠
摘要
Abstract
For the problem of pseudo-noise ( PN) sequence estimation of short code and long code direct sequence spread spectrum ( DSSS) signals with different delays, a blind despreading algorithm based on singular value decomposition(SVD) is proposed. Under the condition of known information symbol rate and PN period condition, the algorithm first divides the received DSSS signal into a correlation matrix ac-cording to a certain length and performs SVD of the matrix to obtain the signal subspace, and then esti-mates the PN sequence by erasing its ambiguity with the condition of the fuzzy unitary matrix and the spe-cific constraint ( such as m sequence) according to the fuzzy relation between the signal subspace and the PN sequence. Simulation results show that the proposed algorithm not only can solve the problem of estima-ting the PN sequence under different time delays, but also has the advantages of high stability and good es-timation performance under low signal-to-noise ratio.关键词
直接序列扩频/周期长码/短码/伪码序列/盲估计/奇异值分解Key words
direct sequence spread spectrum ( DSSS )/periodic long-code/short-code/pseudo-noise ( PN) sequence/blind estimation/singular value decomposition( SVD)分类
信息技术与安全科学引用本文复制引用
朱照阳,高勇..短码、周期长码直扩信号伪码序列盲估计[J].电讯技术,2017,57(11):1313-1319,7.
