2014Unpublished venueRequires access

Direction of arrival estimation based on time-modulated antenna array

Chuan Liu, Shiwen Yang, Quanjiang Zhu

Open publisher page 1 citations

Abstract

The application of time-modulated antenna arrays (TMAAs) in direction of arrival (DOA) estimation is investigated in this paper. The classical multiple signal classification (MUSIC) algorithm in DOA estimation is deformed to suit for the TMAAs. Moreover, a method of combining the MUSIC algorithm and differential evaluation (DE) and genetic algorithm (GA) is proposed to avoid fake peaks, improve the probability of resolution and decrease angle error of DOA estimation. Simulation results of the DOA estimation with an 8-element time-modulated linear array (TMLA) are presented which show the proposed method has better performance than conventional uniform linear array (ULA). Moreover, an experiment of DOA estimation based on TMLA is carried out to give a further verification of the application of TMAA in DOA estimation.

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What this paper is about

The application of time-modulated antenna arrays (TMAAs) in direction of arrival (DOA) estimation is investigated in this paper. The classical multiple signal classification (MUSIC) algorithm in DOA estimation is deformed to suit for the TMAAs. Moreover, a method of combining the MUSIC algorithm and differential evaluation (DE) and genetic algorithm (GA) is proposed to avoid fake peaks, improve the probability of resolution and decrease angle error of DOA estimation. Simulation results of the DOA estimation with an 8-element time-modulated linear array (TMLA) are presented which show the proposed method has better performance than conventional uniform linear array (ULA). Moreover, an experiment of DOA estimation based on TMLA is carried out to give a further verification of the application of TMAA in DOA estimation.

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Available abstract

The application of time-modulated antenna arrays (TMAAs) in direction of arrival (DOA) estimation is investigated in this paper. The classical multiple signal classification (MUSIC) algorithm in DOA estimation is deformed to suit for the TMAAs. Moreover, a method of combining the MUSIC algorithm and differential evaluation (DE) and genetic algorithm (GA) is proposed to avoid fake peaks, improve the probability of resolution and decrease angle error of DOA estimation. Simulation results of the DOA estimation with an 8-element time-modulated linear array (TMLA) are presented which show the proposed method has better performance than conventional uniform linear array (ULA). Moreover, an experiment of DOA estimation based on TMLA is carried out to give a further verification of the application of TMAA in DOA estimation.

Key concepts: Direction of arrival, Multiple signal classification, Computer science, Antenna array, Algorithm, Antenna (radio), SIGNAL (programming language), Angle of arrival

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