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基于最小二乘的同步多用户非周期长码直扩信号扩频序列估计

张天骐 强幸子 马宝泽 王俊霞

电波科学学报2016,Vol.31Issue(6):1113-1123,11.
电波科学学报2016,Vol.31Issue(6):1113-1123,11.DOI:10.13443/j.cjors.2016030201

基于最小二乘的同步多用户非周期长码直扩信号扩频序列估计

Estimation of the spread spectrum sequence for synchronous multi-user aperiodic long-code DSSS signals based on least squares

张天骐 1强幸子 1马宝泽 1王俊霞1

作者信息

  • 1. 重庆邮电大学信号与信息处理重庆市重点实验室,重庆400065
  • 折叠

摘要

Abstract

This paper studies the problem of estimation of the spread-spectrum sequence for low SNR synchronous multi-user long-code direct sequence spread spectrum (DSSS) signals.An estimation approach of spread-spectrum sequence based on a nested iterative least squares with projection (NILSP) algorithm is presented.First,The synchronous multi-user long-code DSSS signals is constructed as the shortcode ones with missing data.Then the mathematical analysis for the short-code ones with missing data is done based on the theory of maximum likelihood estimation (MLE) to establish a mathematical model of spread-spectrum sequence.After that,the spread-spectrum sequence is estimated by a NILSP algorithm.The theoretical analysis and simulations show that,the proposed algorithm always has a good performance for estimation of multi-users' (more than 10 users) spread-spectrum sequence in low-SNR (lower than-10 dB) scenarios,and under the same conditions,the longer the data size,the better the performance.

关键词

长码直扩信号/缺失数据模型/最大似然估计/嵌套迭代最小二乘投影算法

Key words

long-code direct sequence spread spectrum (DSSS) signals/missing data model/maximum likelihood estimation(MLE)/nested iterative least squares with projection (NILSP)

分类

信息技术与安全科学

引用本文复制引用

张天骐,强幸子,马宝泽,王俊霞..基于最小二乘的同步多用户非周期长码直扩信号扩频序列估计[J].电波科学学报,2016,31(6):1113-1123,11.

基金项目

国家自然科学基金(61671095,61371164,61275099) (61671095,61371164,61275099)

信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003) (CSTC2009CA2003)

重庆市教育委员会科研项目(KJ130524,KJ1600427,KJ1600429) (KJ130524,KJ1600427,KJ1600429)

电波科学学报

OA北大核心CSCDCSTPCD

1005-0388

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