基于蚁群优化的 SIMO 系统盲检测研究摘要盲信号检测在众多科学领域，特别是在无线通信系统生物信号处理等领域有着广泛的应用,现代通信系统中,信道的失真和畸变所引起的码间干扰是影响通信质量的一个主要因素,需要有效的信道检测技术来消除。盲检测技术能够不借助于训练序列,仅利用接收序列本身的先验信息,便可以检测信道特性,使检测器的输出序列尽量接近发送序列的一种新兴自适应检测技术。蚁群算法是一种新型的群智能仿生启发式算法，它具有正反馈和分布式并行计算机制和很强的鲁棒性。近年来蚁群算法的应用领域逐渐扩大，尤其是随着盲信号处理技术的发展，蚁群算法也被应用于盲信号检测技术中，并取得了良好效果。本文主要研究了基于蚁群优化的盲检测算法，在 Matlab 仿真平台对算法性能加以仿真，获得有用的结论。 关键词：蚁群算法；盲检测；码间干扰；仿生算法ABSTRACTBlind signal detection has been widely used in many scientific fields, especially in biological signal processing of wireless communication systems. In modern communication systems, inter-code interference caused by channel distortion and distortion is a major factor affecting communication quality, which needs effective channel detection technology to eliminate. Blind detection technology is a new adaptive detection technology that can detect channel characteristics without training sequence and only use the prior information of the receiving sequence, so that the output sequence of the detector can be as close as possible to the sending sequence.Ant colony algorithm (aco) is a new bionic heuristic algorithm for swarm intelligence. In recent years, the application field of ant colony algorithm is expanding gradually, especially with the development of blind signal processing technology, ant colony algorithm is also applied in blind signal detection technology, and has achieved good results.This paper mainly studied the blind detection algorithm based on ant colony optimization, and simulated the al...
