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An Improved Blind Adaptive Beamforming CAB Algorithm Based on Fireworks Algorithm is Presented

Published: 24 February 2019 Publication History

Abstract

Adaptive beamforming is the core of array signal processing and has been widely used. It is to extract the desired signal by the difference of spatial spectrum between the received useful signal and the noise signal. With the rapid development of communication technology, various kinds of intentional or unintentional electromagnetic interference are also intensifying. In order to enable communication equipment to receive and receive useful signals correctly in various environments, the development of effective anti-jamming technology has become the focus of current research. Based on the in-depth study of adaptive beamforming technology and the need to transmit reference signals, it can be divided into non-blind and blind adaptive beamforming technologies. In this paper, aiming at the existing problems of several typical blind algorithms, an improved method is proposed. In practical applications, the performance of CAB algorithms will be drastically reduced or invalidated due to cyclic frequency errors. In order to effectively improve this disadvantage, this paper proposes a method of solving this problem by using swarm intelligence optimization algorithm, that is, using the fireworks algorithm of explosive search to optimize CAB algorithms. In this paper, the basic principle of the fireworks algorithm is introduced. With the help of the global optimization ability of the fireworks algorithm, the effect of cyclic frequency error on the performance of the CAB algorithm can be effectively solved. The simulation results verify the practicability and effectiveness of the improved algorithm.

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  1. An Improved Blind Adaptive Beamforming CAB Algorithm Based on Fireworks Algorithm is Presented

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    ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing
    February 2019
    170 pages
    ISBN:9781450362047
    DOI:10.1145/3316551
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 24 February 2019

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    Author Tags

    1. Adaptive beamforming
    2. CAB algorithm
    3. cyclic frequency error
    4. fireworks algorithm

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    ICDSP 2019
    ICDSP 2019: 2019 3rd International Conference on Digital Signal Processing
    February 24 - 26, 2019
    Jeju Island, Republic of Korea

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