两种自适应波束形成算法研究

Study of Two Adaptive Beamforming Algorithms

波束形成技术是智能天线领域的核心技术,且自适应算法的收敛性能、运算量的大小等因素直接影响着整个系统的性能。介绍了智能波束形成的基本理论,研究了基于最小均方误差算法(LMS)和递归最小二乘算法(RLS)的非盲波束形成算法,同时也提出了改进的LMS算法,最后通过仿真分析得出了收敛后的天线方向图、收敛速度及各项性能指标,并对两种算法做了性能比较。

The technology of adaptive beam-forming is the key technology in smart antenna.The performance of the whole system is directly affected by the constringency and computation complexity of the adaptive algorithm.Based on the principle of smart antenna beaming principle,it analyzes the Least-Mean Squares （LMS） and Recursive Least-Squares（RLS） algorithms, and points out the direction of improving LMS algorithm.The convergence speed and performance indicators are analyzed through the computer simulation.In the same environment,the two algorithms are compared.