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一种M-ary扩频信号扩频序列集估计方法OACSTPCD

M-ary spread spectrum signal's spread spectrum sequence set estimation method

中文摘要英文摘要

针对M-ary扩频信号的扩频序列集估计问题,提出一种基于序贯相关检测的扩频码集估计方法.首先,对同步信号样点进行划分,并利用所分向量间的相关特性,通过迭代操作得到码集中某一个元素的估计;然后,将对应于该元素的样点向量从接收信号向量集合中剔除,并重复上述步骤,以序贯的方式得到扩频码集的一个估计;最后,利用原始信号对该码集的各个元素进行检验,剔除码集中的虚假元素从而得到最终估计结果.该方法可以实现M-ary扩频信号的扩频序列集估计,并且不受扩频码集类型的限制,由于避免了二维搜索以及K均值聚类的迭代操作,文中方法具有比文献方法更快的计算速度.

A spread spectrum code set estimation method based on sequential correlation detection is proposed for spread spectrum sequence set estimation of M-ary spread spectrum signal.The synchronous signal samples are divided,and the estimation of a certain element in the code set is obtained by iterating operation by using the correlation characteristics between the divided vectors.And then,the sample vector corresponding to this element is eliminated from the received signal vector set.The above steps are repeated to obtain an estimate of the spread spectrum code set in a sequential manner.Finally,the original signal is used to test each element of the code set,and the false elements in the code set are eliminated to get the final estimation result.This method can estimate the spread spectrum sequence set of M-ary spread spectrum signal,which is not limited to the type of spread spectrum code set.In addition,because the iterative operation of two-dimensional search and K-means clustering is avoided,the proposed method has a faster computing speed than the methods referred in literature.

解辉;赵忠臣;党松;王丹

陆军工程大学石家庄校区 电子与光学工程系, 河北 石家庄 050003陆军工程大学石家庄校区 装备模拟训练中心, 河北 石家庄 050003

电子信息工程

扩频通信M-ary扩频扩频序列集盲估计相关检测二维搜索均值聚类

spread spectrum communicationM-ary spread spectrumspread spectrum sequence setblind estimationcorrelation detectiontwo-dimensional searchmeans clustering

《现代电子技术》 2024 (001)

51-54 / 4

陆军工程大学基础前沿科技创新项目(KYSZJKQTZQ23008);装备综合研究项目(LJ20212C021153)

10.16652/j.issn.1004-373x.2024.01.009

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