基于人工蜂群算法的波达方向和多普勒频率联合估计

doi:10.7964/jdxbgxb201304041

吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1104-1109.doi: 10.7964/jdxbgxb201304041

基于人工蜂群算法的波达方向和多普勒频率联合估计

张志成^1,2, 林君², 石要武¹, 孙晓东¹

1. 吉林大学通信工程学院,长春 130012;
2. 吉林大学仪器科学与电气工程学院,长春 130061

收稿日期:2012-11-30 出版日期:2013-07-01 发布日期:2013-07-01
作者简介:张志成(1981-),男,讲师,博士后.研究方向:阵列信号处理.E-mail:zhang_zc@jlu.edu.cn
基金资助:
国家自然科学基金项目(51075175);吉林省产业技术研究与开发项目(JF2012C013-3).

Joint direction-of-arrival and Doppler frequency estimation based on artificial bee colony algorithm

ZHANG Zhi-cheng^1,2, LIN Jun², SHI Yao-wu¹, SUN Xiao-dong¹

1. College of Communication Engineering, Jilin University, Changchun 130022, China;
2. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China

Received:2012-11-30 Online:2013-07-01 Published:2013-07-01

摘要/Abstract

摘要：

将人工蜂群算法应用于似然函数的优化,实现了阵列信号波达方向(DOA)和多普勒频率的联合估计。利用状态空间模型构造包含DOA和多普勒频率信息的广义可观测矩阵,并构造包含该广义可观测矩阵的似然函数,将参数估计问题转化为多维非线性函数优化问题。进而利用人工蜂群算法对似然函数的求解过程进行优化,得到DOA和多普勒频率的估计值。算法保留了最大似然估计的渐近无偏估计性能,降低了似然函数求解的计算量,且参数能够自动配对。

关键词: 信息处理技术, 波达方向, 多普勒频率, 最大似然方法, 人工蜂群算法

Abstract:

To achieve the joint estimation of Direction-of-Arrival (DOA) and Doppler frequency in array signal processing, the artificial bee colony theory and algorithm are applied to optimize the likelihood function. First, the extended observability matrix containing the angle-frequency parameters is established using state-space model. Then, the likelihood function containing the extended observability matrix is used to convert the problem from parameter estimation to nonlinear multidimensional function optimization. Finally, artificial bee colony algorithm is applied to optimize the process of finding the solutions of the maximum likelihood estimator in order to estimate the DOA and Doppler frequency. The proposed method reserves the asymptotic unbiased estimation of the maximum likelihood estimator and reduces the computational burden to calculate the solution of the likelihood function. Besides, the estimated parameters can be paired automatically.

Key words: information processing, direction-of-arrival(DOA), Doppler frequency, maximum likelihood method, artificial bee colony algorithm

中图分类号:

TN911.23

张志成, 林君, 石要武, 孙晓东. 基于人工蜂群算法的波达方向和多普勒频率联合估计[J]. 吉林大学学报(工学版), 2013, 43(04): 1104-1109.

ZHANG Zhi-cheng, LIN Jun, SHI Yao-wu, SUN Xiao-dong. Joint direction-of-arrival and Doppler frequency estimation based on artificial bee colony algorithm[J]. 吉林大学学报(工学版), 2013, 43(04): 1104-1109.

参考文献

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基于人工蜂群算法的波达方向和多普勒频率联合估计

Joint direction-of-arrival and Doppler frequency estimation based on artificial bee colony algorithm

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