基于遗传算法的UWB MMSE Rake接收机耙指选择方案
A Genetic Algorithm Based Finger Selection Scheme for UWB MMSE Rake Receivers
摘要：
由于在典型的超宽带（UWB）系统中存在大量的多径分量，因此通常采用选择性瑞克（SRake）接收机，其组合来自多径分量的子集的能量。为了优化系统性能，需要考虑在SRake接收机的指处采用的多径分量的最佳选择。在本文中，这种手指选择问题的最小均方误差（MMSE）超宽带SRake接收机进行了研究。由于最优解是NP难的，提出了一种基于遗传算法（GA）的迭代方案，它可以在合理的迭代次数后达到接近最优的性能。仿真结果表明，所提出的手指选择算法的性能与传统的和最佳的计划。
英文摘要：
Due to a large number of multipath components in a typical ultra wideband (UWB) system, selective Rake (SRake) receivers, which combine energy from a subset of multipath components, are commonly employed. In order to optimize system performance, an optimal selection of multipath components to be employed at fingers of an SRake receiver needs to be considered. In this paper, this finger selection problem is investigated for a minimum mean square error (MMSE) UWB SRake receiver. Since the optimal solution is NP hard, a genetic algorithm (GA) based iterative scheme is proposed, which can achieve near-optimal performance after a reasonable number of iterations. Simulation results are presented to compare the performance of the proposed finger selection algorithm with those of the conventional and optimal schemes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
