基于进化规划的分量抵消信号参数提取

I. Choi, Ill-Keun Rhee, Young-Hoon Lee
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引用次数: 2

摘要

本文提出了一种新的到达方向(DOA)估计方法。与MUSIC、root-MUSIC、ESPRIT等同时提取信号参数的算法不同,该算法是一种基于进化优化的信号参数提取(SPECC)方法,可以分步提取冲击传感器阵列的信号源幅度和DOA。该算法具有对噪声的鲁棒性和高分辨率的DOA估计。在仿真中,通过与被认为是最佳算法之一的root-MUSIC算法的比较,说明了所提出的SPECC算法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signal Parameter Extraction via Component Cancellation Using Evolutionary Programming
In this paper, a novel direction of arrival (DOA) estimation scheme is proposed. The proposed algorithm, called the signal parameter extraction via component cancellation (SPECC), is an evolutionary optimization-based method and extracts the amplitudes of signal sources and DOA impinging on a sensor array in a step-by-step procedure, different from other algorithms such as MUSIC, root-MUSIC, ESPRIT, etc., which extract those parameters at the same time. Our algorithm has robustness to noise and high resolution in DOA estimation. In the simulation, comparisons with root-MUSIC, which has been known as one of the best algorithms, are presented to illustrate the superiority of the proposed SPECC algorithm.
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