Direction of Arrival Estimation of Wideband Signal Based on Particle Filters

WU Sun-yong; LIAO Gui-sheng; YANG Zhi-wei

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Direction of Arrival Estimation of Wideband Signal Based on Particle Filters

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- Direction of Arrival Estimation of Wideband Signal Based on Particle Filters
- Acta Electronica Sinica Vol. 39, Issue 6, Pages: 1353-1357(2011)
- 作者机构：
  
  1. 西安电子科技大学雷达信号处理国家重点实验室,陕西,西安,710071
  2. 桂林电子科技大学数学与计算科学学院,广西,桂林,541004
  3. 西安电子科技大学雷达信号处理国家重点实验室陕西西安,710071
  4. 桂林电子科技大学数学与计算科学学院广西桂林,541004
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.25
- Published：2011
- 稿件说明：
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WU Sun-yong, LIAO Gui-sheng, YANG Zhi-wei. Direction of Arrival Estimation of Wideband Signal Based on Particle Filters[J]. Acta Electronica Sinica, 2011, 39(6): 1353-1357.
DOI：

WU Sun-yong, LIAO Gui-sheng, YANG Zhi-wei. Direction of Arrival Estimation of Wideband Signal Based on Particle Filters[J]. Acta Electronica Sinica, 2011, 39(6): 1353-1357. DOI：

摘要

利用粒子滤波对不同频率点处的目标阵列流形进行跟踪

实现宽带信号波达方向估计.该算法基于当前时刻的观测信息

无需估计观测协方差矩阵

使得在短数据情况下仍能够取得优良的估计性能.同时算法从一组随机的初始值出发

无需预估计波达方向

并且递推过程是基于极大似然估计的思想

具有解相关的能力.计算机仿真验证了算法在短数据、低信噪比和相干源情况下具有比相干信号子空间法(CSM)算法更为优良的估计性能.

Abstract

This paper proposes a new method for estimating the direction-of-arrival (DOA) of wideband signal

which employs particle filters to track array manifold at different frequency bands.Compared with the coherent signal-subspace method (CSM)

the proposed method utilizes the current observed data and does not require the estimated covariance matrix

thus it performs better while considering a small sample set.In the meantime

this method does not require the preliminary DOA estimates.Moreover

the proposed method can localize completely correlated sources as it is based on the idea of maximum likelihood.Simulation results show that the performance of the propose method is better than CSM when the sample set is small

the signal to noise ratio (SNR) is low and the signal sources are correlated.

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Near-Field DOA Estimation Algorithm Using Array Partition

Particle Estimation Algorithm Using Sh Correlation Coefficient for Nonlinear System State

Estimation of Distribution Algorithm Based on Sequential Importance Sampling Particle Filters

Study of DOA Estimation and Self-Calibration Algorithm for L-Shaped Array in the Presence of Mutual Coupling

Related Author

GAO Hong-yuan

LIU Ya-peng

DU Ya-nan

CHENG Jian-hua

SUN He-lin

CHEN Guang-hui

ZENG Xiao-ping

JIAO Shuang

Related Institution

College of Intelligent Systems Science and Engineering， Harbin Engineering University

College of Information and Communication Engineering， Harbin Engineering University

College of Microelectronics and Communication Engineering, Chongqing University

Central South Electric Power Test Research Institute, China Datang Group Science and Technology Research Institute Co., Ltd.

（哈尔滨工业大学自动化测试与控制系，）

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