摘要
在直扩系统中,提出了1种伪噪声(pseudo noise,PN)码盲估计的新算法,传统的匹配滤波算法将同一个PN码码片序列在时间上连续的采样点与对应的PN码码片加权后积分,积分结果用于码元符号的解调判决;该算法对调PN码码片与码元符号的顺序,将PN码某个码片所对应的多个码元符号进行加权积分,然后对积分结果进行解调判决,即可得到该PN码码片的估计。由于码元符号信息在接收机无法得知,因此PN码盲估计算法将采集到的一段接收信号作为PN码,然后对接收信号进行匹配滤波,解调判决得到码元信息的初始估计,在此基础上,对初始解进行加权积分并获得PN码码片的估计。仿真结果表明,该算法可实现对PN码码片的盲估计,且与传统算法相比估计精度明显提高。
A pseudo noise （PN） code estimation algorithm is proposed in the direct sequence spreading systems （DSSS）. In con-ventional match filters？ the demodulation results of the symbols could be achieved by the integration of the signal samples from the PN codes multiplied with the PN codes itself. In proposed scheme, the estimation of each PN chip is obtained from the inte-gration result of the signal samples for that very PN chip which were multiplied with multiple symbols. Since the information of the symbols are not available at the receiver, a practical way was presented to accomplish the new scheme, which adopted the re-ceived signal as the PN code to Match filtering with the received signal and the initial estimation of the symbols have been obtained by demodulating, which could be used to estimate the PN chips. So the blind estimation of PN code was achieved. Simulation re-sults show that the new algorithm can estimate PN code blindly without any knowledge of the signal, and the estimation precision of the new algorithm is improved evidently compared with that of the conventional algorithms.
出处
《中国科技论文》
北大核心
2017年第8期863-867,共5页
China Sciencepaper
基金
中央高校基本科研业务费专项资金资助项目(310824161008
310824163202
310824161005
310824171006)
陕西省自然科学基金资助项目(2016JQ6074)
陕西省高校科协青年人才托举计划资助项目(2016)
关键词
直接序列扩频
匹配滤波
伪噪声码估计
积分
direct sequence spreading systems
match filter
pseudo noise code estimation
integration
