吉林大学学报(信息科学版) ›› 2016, Vol. 34 ›› Issue (1): 23-28.

• 论文 • 上一篇    下一篇

海杂波背景下基于四元数电磁矢量阵列DOA 估计

王玉祥, 孙晓东, 单泽彪, 石要武   

  1. 吉林大学通信工程学院, 长春130022
  • 收稿日期:2015-04-25 出版日期:2016-01-25 发布日期:2016-05-10
  • 作者简介:王玉祥(1987— ), 男, 吉林蛟河人, 吉林大学硕士研究生, 主要从事阵列信号处理研究,(Tel)86-18143093869(E-mail) 602082844@qq.com; 通讯作者: 孙晓东(1975— ), 男, 河南漯河人, 吉林大学副教授, 硕士生导师, 主要从事阵列信号 处理、微弱信号检测研究, (Tel)86-13504473253(E-mail)sunxd@ jlu. edu. cn。
  • 基金资助:

    国家自然科学基金资助项目(51075175)

DOA Estimation Using Quaternion Based on Electromagnetic Vector Sensor Array on Real Clutter Data

WANG Yuxiang, SUN Xiaodong, SHAN Zebiao, SHI Yaowu   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2015-04-25 Online:2016-01-25 Published:2016-05-10

摘要:

针对复杂多变的海杂波常伴随待测信号混入雷达系统而严重干扰目标信号的波达角度估计的问题, 提出一种新的基于电磁矢量阵列的四元数模型, 通过分数低阶统计量特性抑制海杂波噪声的二维波达角度估计方法。首先推导出电磁矢量阵列的四元数导向矢量, 然后利用分数低阶概念得到四元数分数低阶协方差矩阵,最后根据奇异值分解MUSIC(Multiple Signal Classification)算法得到谱估计公式。仿真实验结果表明, 与标量阵列和非四元数电磁矢量阵列MUSIC 算法相比较, 该方法可较好地抑制海杂波噪声, 且能提高估计精度。

关键词: DOA 估计, 分数低阶统计量, 四元数, 海杂波, 电磁矢量传感器

Abstract:

The sea clutter is affected by many factors, and is more complicated. The sea clutter noise has great impact on the estimated performance of the target signal's DOA(Direction Of Arrival) of Radar system. A new quaternion model to estimate signal's DOA combining with existing fractional lower order statistics algorithm
based on uniform electromagnetic vector sensor array is proposed. First, the electromagnetic vector array of quaternion was deduced, then the quaternion fractional low-order covariance was got by using fractional lower-order statistics. Finally, the quaternion field sparial spectrum was presented. The simulation results indicate that the method has a better performance than others in noise suppression and accuracy of the signal parameter estimation. Simulation results has demonstrated the effectiveness of the method.

Key words: direction of arrival(DOA) estimation, fractional lower order statistics, quaternion, sea clutter, electromagnetic vector sensor

中图分类号: 

  • TN911. 7