Estimation of Signal Parameters via Rotational Invariance Techniques Algorithm with Speedy Fourth-Order Cumulants

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Estimation of Signal Parameters via Rotational Invariance Techniques Algorithm with Speedy Fourth-Order Cumulants

更新时间：2025-05-08

- Estimation of Signal Parameters via Rotational Invariance Techniques Algorithm with Speedy Fourth-Order Cumulants
- Vol. 43, Issue 6, Pages: 88-92(2009)
- 作者机构：
  
  哈尔滨工程大学信息与通信工程学院,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Online First：10 June 2009，
  
  Published：2009
- 稿件说明：
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Estimation of Signal Parameters via Rotational Invariance Techniques Algorithm with Speedy Fourth-Order Cumulants[J]. 2009, 43(6): 88-92.
DOI：

Estimation of Signal Parameters via Rotational Invariance Techniques Algorithm with Speedy Fourth-Order Cumulants[J]. 2009, 43(6): 88-92. DOI：

摘要

针对空间谱估计算法同时分辨多目标需要较多阵元、测角精度低且运算量大的问题

提出一种快速四阶累积量旋转不变子空间(MFOC-E)算法.首先根据四阶累积量矩阵构成的规律

取出所有不重复的元素构成新矩阵

去除了原矩阵的数据冗余并降低了原矩阵维数

然后通过分析新虚拟阵列的阵元位置特性

找到与原真实阵列结构完全相同的新子阵

同时设定了适用于所有线阵的子阵划分方法

最后利用旋转不变子空间算法确定目标的来向.与传统的同类算法相比

MFOC-E算法具有不损失天线孔径、测角精度高且运算量小的特点.仿真实验表明

MFOC-E算法在阵元数极少时

仍可以快速准确地实现多目标的到达角估计

三元阵列时能节省30%的运算时间.

Abstract

Using spatial spectrum estimation methods to resolve multipletargets at the same time needs more antennas

and has low accuracy of angle measurement with high calculation cost. Focusing on these problems

an estimation of signal parameters via rotational invariance techniques(ESPRIT)algorithm with speedy fourth-order cumulants(MFOC-E)is proposed. All non-repeated elements of the fourth-order cumulants matrix are selected to compose a new matrix according to the composing law of the fourth-order cumulants matrix so that the data redundancy of the primary matrix is removed and the dimension is reduced. Then a new sub-array which is the same as the primary real array is found through analyzing the position characteristic of the new virtual antenna

and a dividing sub-arrays method that adapts to all linear arrays is designed. Finally

the ESPRIT algorithm is used to estimate the directions of arrival(DOA). It is found by comparing with traditional similar algorithm that the MFOC-E algorithm reteins antenna aperture

and ensures high accuracy of angle measurement with lower computational cost. Simulation results show that the MFOC-E algorithm estimates DOA of more targets rapidly and exactlywith less antennas

and saves 30% calculation time with only three antennas.

关键词

Keywords

references

PARK H R, KIM Y S. A solution to the narrow-band coherency problem in multiple source location [J]. IEEE Trans on SP, 1993, 41(1): 473-476.

CHEVALIER P, FERRÉOL A. On the virtual array concept for the fourth-order direction finding problem [J]. IEEE Trans on SP, 1999, 47(9): 2592-2595.

ROY R, KAILATH T. ESPRIT: estimation of signal parameters via rotational invariance techniques [J]. IEEE Trans on ASSP, 1989, 37(7): 984-995.

SCHMIDT R O. Multiple emitter and signal parameter estimation [J]. IEEE Trans on Antennas and Propagation, 1986, 34(3): 276-280.

BOAZ P, BENJAMIN F. Direction finding algorithms based on high-order statistics [J]. IEEE Trans on SP, 1991, 39(9): 2016-2024.

徐友根, 刘志文. 一种基于四阶累积量的旋转不变参数估计方法 [J]. 兵工学报, 2004, 25(3): 379-381.XU Yougen, LIU Zhiwen. A new method of estimating signal parameter via rotational invariance technique based on fourth-order cumulants [J]. Acta Armamentaria,2004, 25(3): 379-381.

刁鸣,吴小强,李晓刚.基于四阶累积量的测向方法研究[J].系统工程与电子技术,2008,30(2):226-228

DIAO Ming, WU Xiaoqiang, LI Xiaogang. Study on DOA estimation based on fourth-order cumulant [J].Systems Engineering and Electronics, 2008,30(2):226-228.

王永良,陈辉,彭应宁,等. 空间谱估计理论与算法[M].北京:清华大学出版社,2004.

聂卫科,冯大政,刘建强.二维波达方向估计的非酉联合对角化方法[J].西安交通大学学报,2008,42(6):747-750.

NIE Weike, FENG Dazheng, LIU Jianqiang. Non-unitary joint diagonalization method for estimating two-dimensional direction of arrival [J].Journal of Xi'an Jiaotong University. 2008,42(6):747-750.

一种新的浅海目标方位估计方法.2008,42(10):1295-1299

二维波达方向估计的非酉联合对角化方法.2008,42(6):747-750

贝尔实验室垂直分层空时系统的简化最大似然检测算法.2008,42(6):743-746

一种基于接收信号强度指标的改进型定位算法.2008,42(2):147-151

一种降低交替方向隐式时域有限差分数值色散的方法.2008,42(2):209-212

无线传感器网络下的粒子滤波分布式目标跟踪算法.2007,41(8):912-916

基于负数阶矩的正值Alpha稳定分布的参数估计.2007,42(6):645-649

一种基于小波的Contourlet变换的图像压缩算法.2007,41(4):479-483

空间相关信道下空时分组码的子空间修正解码.2006,40(12):1428-1431

在线增强型复值混合信号盲分离算法研究丛丰裕.2006,40(9):1070-1073

Chirplet变换中的参数选择研究.2006,40(6):719-723完稿3,26插图3.27二校5,19三校5,31

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