Performance Comparison of Blind and Non Blind Adaptive Beamforming Algorithms in Mobile Communication

摘要

The adaptive beamforming system emerged as leading technology which becomes capable to locate and track signals by both: users and interferers and dynamically adapts the antenna pattern to enhance the reception in Signal-of-Interest (SOI) direction and minimizing interference in Signal-Not-of-Interest (SNOI) direction. Adaptive beamforming is used for enhancing a desired signal while suppressing noise and interference at the output of an array of sensors. This paper analyzes the performance and compares one of the Non Blind Algorithm- Recursive Least Square (RLS) with a commonly used Blind algorithm - Constant Modulus Algorithms CMA which do not require any temporal reference for the computation of the optimal weight vectors on various performance parameters of mobile communication system. The simulation results of both Blind-RLS and Non Blind-CMA shows that their performance improves with more elements in the array, with large snapshots of signals, greater angular separation between the signals. The analysis parameter used for comparison of above algorithms are response towards beam forming which shows that Recursive Least Square gives much improved results than CMA by giving a perfect null towards the direction of interferer signals.