基于EM-VB的分布式接收运动目标直接符号检测方法

doi:10.12305/j.issn.1001-506X.2024.04.31

Abstract

Abstract:

Compared with the hierarchical processing structure of parameter difference estimation, signal calibration synthesis and symbol detection in traditional distributed array reception, direct symbol detection using multiple observation signals can suppress the performance loss caused by poor calibration accuracy between signals, but the existing methods are mainly aimed at the situation where both the transmitter and the receiver are stationary or ideal synchronization. A direct symbol detection method for distributed receiving moving targets under the maximum likelihood criterion is studied. Firstly, a direct symbol detection solution model is given. Aiming at the optimization problem of multiple groups of unknown parameters in the model, the approximate closed form solutions of each parameter are derived and analyzed. A closed-loop processing structure based on iterative re-evaluation is adopted, and multiple unknown parameters and information symbols are used for joint optimization. Simulation results show that the performance of the proposed method is obviously superior than that of the traditional synthetic processing methods. Compared with the existing joint processing structure, the proposed method has greater advantages when the number of observation stations is large.

Key words: distributed receiving, moving target, symbol detection, maximum likelihood, expectation-maximization

CLC Number:

TN911.5

Kai ZHANG, Yao TIAN. Direct symbol detection method for distributed receiving moving targets based on EM-VB[J]. Systems Engineering and Electronics, 2024, 46(4): 1422-1430.

Figures/Tables 9

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Table 1

References 32

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计算步骤		运算量	迭代次数
计算$\tilde{a}_n^{i+1}$		$\mathcal{O}$(NML)	—
联合参数联合估计	计算μ_l	$\mathcal{O}$(NL)	I_VB
	计算Σ_l	$\mathcal{O}$(NL)
	计算β_l	$\mathcal{O}$(MNL)
	计算α_l	$\mathcal{O}$(L)
	计算Δf_l	$\mathcal{O}$(NML)

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Direct symbol detection method for distributed receiving moving targets based on EM-VB

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