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Biological Inspired Stochastic Optimization Technique (PSO) for DOA and Amplitude Estimation of Antenna Arrays Signal Processing in RADAR Communication System

机译:生物启发式随机优化技术(PSO)用于DOA和RADAR通信系统中天线阵列信号处理的幅度估计

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This paper presents a stochastic global optimization technique known as Particle Swarm Optimization (PSO) for joint estimation of amplitude and direction of arrival of the targets in RADAR communication system. The proposed scheme is an excellent optimization methodology and a promising approach for solving the DOA problems in communication systems. Moreover, PSO is quite suitable for real time scenario and easy to implement in hardware. In this study, uniform linear array is used and targets are supposed to be in far field of the arrays. Formulation of the fitness function is based on mean square error and this function requires a single snapshot to obtain the best possible solution. To check the accuracy of the algorithm, all of the results are taken by varying the number of antenna elements and targets. Finally, these results are compared with existing heuristic techniques to show the accuracy of PSO.
机译:本文提出了一种随机全局优化技术,称为粒子群优化(PSO),用于联合估计雷达通信系统中目标的幅度和到达方向。所提出的方案是解决通信系统中DOA问题的极好的优化方法和有希望的方法。而且,PSO非常适合实时场景,并且易于在硬件中实现。在这项研究中,使用均匀的线性阵列,目标应该位于阵列的远场中。适应度函数的公式基于均方误差,并且此函数需要一个快照才能获得最佳解决方案。为了检查算法的准确性,通过改变天线元件和目标的数量来获取所有结果。最后,将这些结果与现有的启发式技术进行比较,以证明PSO的准确性。

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