A Simple Comparative Evaluation of Adaptive Beam forming Algorithms

摘要: Adaptive Antennas can be used to increase the capacity, link quality and coverage of existing future mobile communication networks. Using beam forming algorithms weight antenna arrays adjusted form certain amount adaptive track corresponding users automatically at same time minimize interference arising from other by introducing nulls in their directions. This paper presents a simulation test-bed smart system for comparative performance evaluation various itself. The simulated analyzed this work include Least Mean Square (LMS), Direct Matrix Inverse (DMI), Recursive (RLS), Constant Modulus Algorithm (CMA), Square-Constant (LS- CMA) algorithms. results show that LMS algorithm requires about 53 iterations before it finally converge. DMI is computed number samples; hence does not require its calculations. It has faster convergence than but characterized numerical instability increased computational complexity due matrix inversions. RLS less (about 10 converges). done using MATLAB platform as simulator.