Abstract:
Many significant sources of error take place in the smart antenna system like mismatching between the supposed steering vectors and the real vectors, insufficient calibra...View moreMetadata
Abstract:
Many significant sources of error take place in the smart antenna system like mismatching between the supposed steering vectors and the real vectors, insufficient calibration of array antenna, etc. These errors correspond to adding spatially white noise to each element of the array antenna, therefore the performance of the smart antenna falls and the desired output signal is destroyed. This paper presents a performance study of a smart antenna system at different noise levels using five adaptive beamforming algorithms and compares between them. The investigated algorithms are Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Sample Matrix Inversion (SMI), Recursive Least Square (RLS) and Hybrid Least Mean Square / Sample Matrix Inversion (LMS/SMI). MATLAB simulation results are illustrated to investigate the performance of these algorithms.
Published in: 2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Date of Conference: 22-24 September 2016
Date Added to IEEE Xplore: 08 December 2016
Print on Demand(PoD) ISBN:978-1-5090-2578-7
Electronic ISSN: 1847-358X