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基于压缩循环谱的mW复合序列参数估计

Parameter Estimaton of m W Composite Sequence Based on Compressive Cyclic Spectrum

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【作者】 郭黎利刘湘蒲付江志李清伟

【Author】 GUO Li-li;LIU Xiang-pu;FU Jiang-zhi;LI Qing-wei;College of Information and Communication Engineering,Harbin Engineering University;

【机构】 哈尔滨工程大学信息与通信工程学院

【摘要】 针对m W(m-Walsh)复合序列扩频信号的参数估计问题,根据循环谱理论推导了m W复合序列扩频信号的循环谱表达式,并结合Walsh序列的频谱特征分析了m W复合序列扩频信号的循环谱特征,提出了基于循环谱的参数估计算法.针对m W复合序列循环谱的获取所需采样率较高的问题,引入压缩循环谱技术,通过信号的压缩采样值来重构循环谱.实验结果表明,利用压缩采样理论能有效地重构出信号循环谱,并实现对Walsh序列序号、m序列码片速率和载频等参数的有效估计.

【Abstract】 In order to implement the parameter estimation of m W( m-Walsh) composite-sequence spread spectrum signals,the corresponding cyclic spectrum is derived according to the theory of cyclic spectrum,and the feature of cyclic spectrum is analyzed on the basis of spectrum characteristics of Walsh sequence,with a parameter estimation algorithm on the basis of cyclic spectrum being also presented. Moreover,a compressive cyclic spectrum is introduced to meet the high-rate sampling for the calculation of cyclic spectrum. Thus,the cyclic spectrum can be reconstructed from compressive samples. Simulated results indicate that the introduction of compressive sampling helps effectively reconstruct the cyclic spectrum and estimate the sequence number of Walsh sequence,the chip rate of m sequence as well as the carrier frequency.

【基金】 国家自然科学基金资助项目(61271263)~~
  • 【文献出处】 华南理工大学学报(自然科学版) ,Journal of South China University of Technology(Natural Science Edition) , 编辑部邮箱 ,2016年05期
  • 【分类号】TN914.42
  • 【被引频次】2
  • 【下载频次】63
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