基于改进粒子群算法的线性天线阵列波束形成

H. Pradhan, B. B. Mangaraj, Santanu Kumar Behera
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引用次数: 1

摘要

本文提出了一种改进的粒子群优化-最小均方(PSOLMS)算法的波束形成新方法,用于线性天线阵列(LAAs)的波束导向和零定位应用。本文旨在分析PSOLMS算法在天线阵列波束形成中的性能,并与PSO算法以及LMS、恒模算法(CMA)等传统方法进行比较。利用该算法对权重系数的幅值和相位激励进行了优化,并对一个16元LAA进行了分析。MATLAB仿真结果表明,与传统方法相比,较低的振幅激励可以降低旁瓣电平(SLL),并有明显的增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beamforming of Linear Antenna Array Using Modified PSO Algorithm
A new approach in beamforming by the use of a modified algorithm, called Particle Swarm Optimization-Least Mean Square (PSOLMS) algorithm, is proposed here for beam steering and null positioning applications of Linear Antenna Arrays (LAAs). This paper aims to analyze the performance of the proposed PSOLMS algorithm in comparison to PSO and the conventional methods such as LMS, Constant Modulus Algorithm (CMA) used in beamforming of antenna arrays. The amplitude and phase excitations of the weight coefficients are optimized using the proposed algorithm, and the analysis has been carried out for a 16 element LAA. The simulated results using MATLAB shows that the side lobe levels (SLL) can be reduced with lower amplitude excitations and provides considerable enhancements as compared to the conventional methods.
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