电子学报2016，Vol.44Issue(2)：334-339,6.DOI:10.3969/j.issn.0372-2112.2016.02.013
基于半定松弛的长码DSSS信号扩频波形估计
A Semidefinite Relaxation Approach to Spreading Waveform Estimation for Long-Code DSSS Signals
摘要
Abstract
For long-code direct sequence spread spectrum (DSSS)signals in non-cooperative communication sys-tems,a semidefinite relaxation approach to spreading waveform estimation is proposed,and the Cramer-Rao lower bound (CRB)for the spreading waveform estimation is also derived under the deterministic signal model.We first derive the maxi-mum likelihood estimate (MLE)of spreading waveform.Then,due to the MLE problem being a non-convex combinatorial optimization problem,we approximate it as a semidefinite programming problem which features polynomial worst-case com-plexity by relaxing the constraints.The simulation results demonstrate that the proposed estimator significantly outperforms the existing estimators and can achieve the CRB as the signal-to-noise ratio increases.关键词
长码DSSS信号/极大似然估计/半定松弛/扩频波形估计/CRBKey words
long-code DSSS signals/maximum likelihood estimate/semidefinite relaxation/spreading waveform esti-mation/Cramer-Rao lower bound分类
信息技术与安全科学引用本文复制引用
张花国,李鑫,张建华,魏平..基于半定松弛的长码DSSS信号扩频波形估计[J].电子学报,2016,44(2):334-339,6.基金项目
国家自然科学基金（No．61201282）；中央高校基本科研业务费 （）
