Direction-of-Arrival Estimation Method for Cyclostationary Signals Using the Minimum-Variance Spectral Estimate

HUANG Zhi-tao; ZHOU Yi-yu; JIANG Wen-li

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Direction-of-Arrival Estimation Method for Cyclostationary Signals Using the Minimum-Variance Spectral Estimate

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- Direction-of-Arrival Estimation Method for Cyclostationary Signals Using the Minimum-Variance Spectral Estimate
- Acta Electronica Sinica Vol. 33, Issue 9, Pages: 1590-1593(2005)
- 作者机构：
  
  国防科技大学电子科学与工程学院,湖南,长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Published：2005
- 稿件说明：
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HUANG Zhi-tao, ZHOU Yi-yu, JIANG Wen-li. Direction-of-Arrival Estimation Method for Cyclostationary Signals Using the Minimum-Variance Spectral Estimate[J]. Acta Electronica Sinica, 2005, 33(9): 1590-1593.
DOI：

HUANG Zhi-tao, ZHOU Yi-yu, JIANG Wen-li. Direction-of-Arrival Estimation Method for Cyclostationary Signals Using the Minimum-Variance Spectral Estimate[J]. Acta Electronica Sinica, 2005, 33(9): 1590-1593. DOI：

摘要

文章提出了基于最小方差谱估计的多循环频率到达角估计方法.通过对指数函数进行Jacobi-Anger展开

将目标方向矩阵近似分解为两个独立矩阵相乘的形式

并构造相应的变换矩阵

将多个不同循环频率处阵列输出信号循环相关函数矩阵进行叠加

再利用最小方差谱估计方法实现对目标到达角的估计.新方法克服了已有基于信号循环平稳特性估计方法只利用信号单个循环频率信息的不足.仿真结果证实了新方法的有效性

同时也证实该方法确实具有较单循环频率SC-SSF方法和传统宽带聚焦方法更好的估计性能.

Abstract

Suffering from the exploitation of the cyclostationary property at only one cycle frequency

the existing SC-SSF algorithm can not reach the best performance.By using the minimum-variance spectral estimate method

a new approach exploiting the cyclostationary property at multiple cycle frequencies is discussed in the paper.Firstly

by using the Jacobi-Anger expansion

the direction matrix can be divided into two parts.Secondly

the transforming matrix can be formed according to the two parts.Thirdly

the minimum-variance spectral estimate method is used to estimate the direction.Simulation results demonstrate the effectiveness and superiority of the new approach over the single-cycle SC-SSF algorithm and the conventional focusing transform algorithm for wide-band singals.

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Direction-of-Arrival Estimation of Signal Sources Exploiting Cyclostationarity Property

Related Author

HUANG Zhi-tao

ZHOU Yi-yu

JIANG Wen-li

Related Institution

School of Electronic Science and Engineering,National University of Defense Technology

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