模值约束的降维MUSIC二维DOA估计

发布时间：2018-01-22 11:40

本文关键词： 二维波达方向估计降维多重信号分类法优化算法模值约束　出处：《系统工程与电子技术》2014年09期 　论文类型：期刊论文

【摘要】：利用传统二维多重信号分类(multiple signal classification,MUSIC)算法进行二维波达方向(direction of arrival,DOA)估计时,往往带来巨大的运算量,限制了算法的实际应用。提出了一种能够大大降低二维DOA估计运算量的模值约束降维MUSIC算法,该算法将二维DOA估计问题转化为优化方程的求解问题,并采用模值约束法定义附加条件,使方向向量得到了较强约束,进而使求解结果更加接近最优解。理论分析和仿真实验表明,本文算法所需运算量较低,且角度估计的成功率与精确度较高。
[Abstract]:Multiple signal classification was classified by traditional two-dimensional multiple signals. When using the MUSIC-based algorithm to estimate the direction of arrival direction (DOA), it often results in a huge amount of computation. The practical application of the algorithm is limited. A modular constraint reduced dimension MUSIC algorithm is proposed, which can greatly reduce the computational complexity of two-dimensional DOA estimation. In this algorithm, the two-dimensional DOA estimation problem is transformed into the solving problem of the optimization equation, and the additional conditions are defined by the modular value constraint method, which makes the direction vector obtain stronger constraints. Theoretical analysis and simulation experiments show that the proposed algorithm requires less computation and has higher success rate and accuracy in angle estimation.
【作者单位】：西安电子科技大学电子信息攻防对抗与仿真技术教育部重点实验室;
【基金】：国家自然科学基金(61271300,61072107) 中央高校基本科研业务费专项资金(K5051202003)资助课题
【分类号】：TN911.23
【正文快照】： 0引言阵列信号二维波达方向(direction of arrival,DOA)估计目前是无线通讯和电子对抗等领域的研究热点问题[1-2],其利用传感器阵列接收信号进行数据处理,获得信号的空域方位参数。目前所提出的一系列DOA估计算法中,以多重信号分类(multiple signal classification,MUSIC)[3]

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