基于粒子群优化和单快照的联合到达方向和振幅估计

Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation Pub Date : 2010-05-09 DOI:10.1109/CEFC.2010.5481660

B. Errasti-Alcalá, D. Escot-Bocanegra, D. Poyatos-Martínez, A. Jurado-Lucena, R. Fernández-Recio

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引用次数: 4

摘要

到达方向(DOA)估计是一个涉及各种领域的问题。在大多数应用中，输入信号的DOA和幅度估计都是一个重要的问题。从这个意义上说，粒子群算法(PSO)在精确求解DOA问题上表现出了很强的能力，并且该通信提供了一种同时估计给定波长的多个输入信号的振幅和到达方向的方法。

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Joint Direction of Arrival and amplitude estimation using Particle Swarm Optimization and a single snapshot

Direction of Arrival (DOA) estimation is a problem which concerns very diverse fields of interest. In most applications, not only the DOA but also the estimation of the amplitude of the incoming signals is becoming an important issue. In that sense, Particle Swarm Optimization (PSO) has shown a great capability to solve the DOA problem accurately and this communication presents a method to estimate both the amplitude and the Direction of Arrival of several incoming signals of a given wavelength.

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Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation

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