A New Kaiser-Bessel Constant Modulus Technique for Smart Antenna Beamforming

No Thumbnail Available

Date

2022

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media Deutschland GmbH

Abstract

In this work, an improved constant modulus algorithm (CMA) blind beamformer exploiting the Kaiser-Bessel window which is dubbed as ‘KB-CMA’ for the smart antenna system is presented. In array signal processing, especially in beamforming technology, the CMA is one of the most popular methods due to its low complexity. However, this beamformer has a very slow convergence time and has a large side lobe level (SLL). This hinders the utility of the CMA method in dynamic circumstances where the speedy capture of the user signal is required. Also, this method is not suitable in the wireless applications where conditions of the channel are speedily varying. To circumvent this problem and to make the classical CMA suitable for practical applications, we propose an improved CMA. The major advantage of the new method is that its time of convergence is almost several times quicker than the classical CMA. Furthermore, we exploit the Kaiser-Bessel window to suppress the SLLs of the improved CMA. Experimental results demonstrate that the proposed method has fast convergence time and the reduced SLL. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Description

Keywords

Adaptive beamforming, CMA, LS-CMA, Smart antenna

Citation

Lecture Notes in Electrical Engineering, 2022, Vol.790, , p. 723-730

Endorsement

Review

Supplemented By

Referenced By