长码直扩信号盲估计方法
首发时间:2015-01-13
摘要:直节扩频序列(DSSS)通信技术作为重要的扩频方式之一,进几十年来在移动通信、战术通信、和遥控遥测等方面,逐渐得到了成功应用。直接扩频序列以其抗干扰能力强、保密性好、易于实现多址通信等优点而越来越受到人们的重视,与之相应的扩频码检测技术也成为了目前研究的重点。非合作通新时,在少量先验条件下对扩频码序列进行盲估计是整个通信系统急需解决的问题。因此,研究在低信噪比环境下扩频序列的盲估计问题具有重要的意义。对于长周期扩频码序列的盲估计,本文研究了分段互相关算法,在此基础上提出了一种基于离散余弦变换(DCT)的盲估计算法。该方法先对信号进行部分匹配滤波(PMF),对输出结果运用DCT变换进行重构,在保存信号能量的同时大大降低了噪声能量,使系统在低信噪比环境下的检测性能得到有效的提升。
关键词: 直接扩频序列 PN码 离散余弦变换 部分匹配滤波 分段互相关
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Long code DSSS signal blind estimation method
Abstract:Direct Sequence Spread Spectrum section (DSSS) communication technology as an important way of spreading, into decades in mobile communications, tactical communications, and remote telemetry, etc., has been successfully applied gradually. Direct Sequence Spread Spectrum for its anti-interference ability, confidentiality, and easy to implement multiple access communication, etc. And more and more attention has been paid, with the corresponding spreading code detection technology has become the focus of the current study. Non-cooperation through new, in a small amount of a priori conditions on the spreading code sequence is the entire communication system Estimation urgent problem. Therefore, the research environment at low SNR blind estimation of spreading sequences is of great significance. For blind long period spreading code sequence estimation, this study segmented cross-correlation algorithm based on this proposed blind based on the discrete cosine transform (DCT) estimation algorithms. This method first part of the signal matched filter (PMF), the output of the results using the DCT to reconstruct the signal energy saving while significantly reducing noise energy, the system detection performance at low SNR environment effectively upgrade.
Keywords: Direct Sequence Spread Spectrum PN code Discrete Cosine Transform Part of the matched filter Segmented cross-correlation
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