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2016•Unpublished venueRequires access

Comparative analysis of different direction of arrival estimation techniques

Anukul Anand, Manoj Kumar Mukul

Open publisher page 17 citations

Abstract

Direction of Arrival (DOA) estimation implies estimating the direction concerning angles of arrival of the received signals by an array of elements. This paper presents a review to a comparative analysis of several DOA estimation algorithms broadly classified into Beamforming (Classical & Capon's) and Subspace-based techniques (Multiple Signal Classification (MUSIC), Minimum Norm and Root-MUSIC) for varying Signal to Noise Ratio (SNR), signal snapshots and array size. The analysis of these algorithms is evaluated for uniform linear array (ULA). MATLAB is used for simulating the performance of these techniques.

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What this paper is about

Direction of Arrival (DOA) estimation implies estimating the direction concerning angles of arrival of the received signals by an array of elements. This paper presents a review to a comparative analysis of several DOA estimation algorithms broadly classified into Beamforming (Classical & Capon's) and Subspace-based techniques (Multiple Signal Classification (MUSIC), Minimum Norm and Root-MUSIC) for varying Signal to Noise Ratio (SNR), signal snapshots and array size. The analysis of these algorithms is evaluated for uniform linear array (ULA). MATLAB is used for simulating the performance of these techniques.

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OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Direction of Arrival (DOA) estimation implies estimating the direction concerning angles of arrival of the received signals by an array of elements. This paper presents a review to a comparative analysis of several DOA estimation algorithms broadly classified into Beamforming (Classical & Capon's) and Subspace-based techniques (Multiple Signal Classification (MUSIC), Minimum Norm and Root-MUSIC) for varying Signal to Noise Ratio (SNR), signal snapshots and array size. The analysis of these algorithms is evaluated for uniform linear array (ULA). MATLAB is used for simulating the performance of these techniques.

Key concepts: Direction of arrival, Capon, Beamforming, Computer science, Multiple signal classification, MATLAB, Algorithm, Subspace topology

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