基于改进MUSIC算法的宽带信号DOA估计

doi:10.19678/j.issn.1000-3428.0063029

摘要/Abstract

摘要： 现有的波达方向（DOA）估计算法在估计被动探测系统中的宽带信号方位时，存在DOA估计结果偏差大、运算复杂度高等问题，难以满足信号实时处理的要求。为提高多源信号DOA估计的空间分辨率，提出一种基于S变换且不需要预估信号源个数的多重信号分类改进算法。根据宽带信号的频域特征，利用S变换处理阵列接收信号，得到多分辨的时频谱矩阵，同时构建时频域的阵列信号数据模型，结合信号功率谱矩阵呈联合对角化结构的特点，设计基于S变换的子空间谱估计公式。在此基础上，通过谱峰搜索进行DOA估计，实现多源宽带信号的声源定位。仿真结果表明，在信噪比范围为-15~10 dB的条件下，该算法的估计成功率始终保持在90%以上，相比TCT、CS_TCT、CWT_MUSIC算法，其具有较优的估计性能，并且无需预估信号源数。

关键词: 宽带信号, 波达方向估计, MUSIC算法, S变换, 声源定位

Abstract: The existing Direction of Arrival (DOA) estimation algorithms estimate the wideband signal azimuth in the passive detection system, there are some problems such as large deviation of DOA estimation results and high computational complexity, which are difficult to meet the requirements of signal real-time processing.To improve the spatial resolution of DOA estimation of multisource signals, this paper proposes an improved multiple signal classification algorithm based on the S-transform that does not require the estimation of the number of signal sources. According to the frequency-domain characteristics of wideband signals, the S-transform is used to process the received signal of the array to establishthe multi-resolution time spectrum matrix.At the same time, an array signal data model in the time-frequency domain is constructed.Based on the characteristics of the joint diagonalization structure of the signal power spectrum matrix, a subspace spectrum estimation equation based on the S-transform is formulated. On this basis, the DOA is estimated through a spectral search to realize the sound source location of multisource wideband signals.The simulation results show that the estimation success rate of the algorithm is always greater than 90% when the signal-to-noise ratio range is approximately -15~10 dB.Compared to the TCT and CS_TCT, CWT_MUSIC algorithms, the proposed algorithm has better estimation performance and does not need to estimate the number of signal sources.

Key words: wideband signal, Direction of Arrival(DOA) estimation, MUSIC algorithm, S-transform, sound source location

中图分类号:

TP301.6

黎昕婷, 钟舜聪, 钟剑锋. 基于改进MUSIC算法的宽带信号DOA估计[J]. 计算机工程, 2022, 48(11): 201-206.

LI Xinting, ZHONG Shuncong, ZHONG Jianfeng. DOA Estimation of Wideband Signal Based on Improved MUSIC Algorithm[J]. Computer Engineering, 2022, 48(11): 201-206.

http://www.ecice06.com/CN/Y2022/V48/I11/201

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