期刊文献+

基于盲辨识和盲均衡的直扩信号伪码估计方法 被引量:1

Approach to blind estimation of PN sequence for DSSS signal based on blind identification and blind equalization
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摘要 为了解决多径信道下直接序列扩频信号的伪码盲估计问题,在直扩信号等效联合信道模型的基础上,提出一种信道盲辨识与数据重用盲均衡相结合的伪码盲估计方法。该方法利用信道盲辨识方法估计得到等效联合信道,通过数据重用盲均衡进一步估计出伪码。理论分析与仿真验证表明,该方法在低信噪比条件下仍然可实现对多径直扩信号伪码序列的准确盲估计,并且对于m、Gold、M序列等不同伪码具有广泛适应性。 In order to solve the problem of blindly estimation of pseudo random(PN) sequence for direct sequence spread spectrum(DSSS) signal in multipath channel,on the basis of equivalent combined impulse response of the channel model,this paper proposed a blind estimation algorithm combined blind channel identification and data-reusing blind equalization.This method estimated the equivalent combined impulse response of the channel using blind identification,it estimated the PN sequence using data-reusing blind equalization.Theoretical analysis and simulation results prove that the proposed algorithm can realize accurate blind estimation of PN sequence in multipath channel and low SNR,and show extensive adaptability to a variety of PN sequence including m sequence,Gold sequence and M sequence.
出处 《计算机应用研究》 CSCD 北大核心 2012年第11期4069-4072,共4页 Application Research of Computers
基金 国家高技术研究发展计划资助项目(2009AA011205)
关键词 盲辨识 盲均衡 数据重用 多径信道 伪码盲估计 blind identification blind equalization data-reusing multipath channel blind estimation of PN sequence
作者简介 韦永朋(1986-),男,河南漯河人,硕士,主要研究方向为直扩信号参数盲估计(wei—yongpeng2008@163.com); 刘洛琨(1963-),男,河南洛阳人,教授,硕导,博士,主要研究方向为宽带无线通信; 张剑(1973-),男,副教授,博士,主要研究方向为通信与信号处理; 郭虹(1975-),女,讲师,博士,主要研究方向为数字信号处理.
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参考文献13

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共引文献77

同被引文献4

  • 1沈川.基于弹载数据链的信号检测技术研究[D].沈阳:沈阳理工大学,2012.
  • 2Cui T, Tang J, Gao F F, et al. Moment-based parameter estimation and blind spectrum sensing for quadrature amplitude modulation[J].IEEE Transactions on Communications, 2011,59(2):613-623.
  • 3Yang Shuang, Deng Li. Improved method of DSSS signal parameter estimation[C]//Industrial and Information System 2nd International Conference, Dalian, 2010,2: 301-303.
  • 4马秀荣,张媛.基于功率谱FFT的BPSK信号参数估计[J].电子与信息学报,2013,35(5):1252-1256. 被引量:7

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