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2016•International Journal of Image Graphics and Signal ProcessingRequires access

Optimization of MUSIC and Improved MUSIC Algorithm to Estimate Direction of Arrival

Pooja Gupta, Vijay Kumar Verma

Open publisher page 5 citations

Abstract

The signal processing applications are limited with high-resolution signal parameter estimation.Therefore the Direction of Arrival estimation algorithm needs to be effective and efficient in order to improve the performance of smart antennas.This paper presents the simulation for a subspace based DOA estimation algorithm with high resolution.MUSIC (Multiple signal classification) and the IMUSIC (Improved MUSIC) are presented and optimized by varying various parameters.The basic MUSIC algorithm is ineffective in estimating the incoming coherent signals.The new improved MUSIC algorithm overcomes this ineffectiveness and correctly estimates the related signals with improved accuracy.The improved version of MUSIC algorithm is brought about by taking into account the conjugate of the data matrix for MUSIC algorithm and then reconstructing it.The various factors like the number of array elements, number of snapshots, varying the distance between array elements, varying SNR and the difference in arrival angles can bring about better resolutions.The comparisons for MUSIC and Improved MUSIC algorithm are widely discussed.

About this research paper

What this paper is about

The signal processing applications are limited with high-resolution signal parameter estimation.Therefore the Direction of Arrival estimation algorithm needs to be effective and efficient in order to improve the performance of smart antennas.This paper presents the simulation for a subspace based DOA estimation algorithm with high resolution.MUSIC (Multiple signal classification) and the IMUSIC (Improved MUSIC) are presented and optimized by varying various parameters.The basic MUSIC algorithm is ineffective in estimating the incoming coherent signals.The new improved MUSIC algorithm overcomes this ineffectiveness and correctly estimates the related signals with improved accuracy.The improved version of MUSIC algorithm is brought about by taking into account the conjugate of the data matrix for MUSIC algorithm and then reconstructing it.The various factors like the number of array elements, number of snapshots, varying the distance between array elements, varying SNR and the difference in arrival angles can bring about better resolutions.The comparisons for MUSIC and Improved MUSIC algorithm are widely discussed.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The signal processing applications are limited with high-resolution signal parameter estimation.Therefore the Direction of Arrival estimation algorithm needs to be effective and efficient in order to improve the performance of smart antennas.This paper presents the simulation for a subspace based DOA estimation algorithm with high resolution.MUSIC (Multiple signal classification) and the IMUSIC (Improved MUSIC) are presented and optimized by varying various parameters.The basic MUSIC algorithm is ineffective in estimating the incoming coherent signals.The new improved MUSIC algorithm overcomes this ineffectiveness and correctly estimates the related signals with improved accuracy.The improved version of MUSIC algorithm is brought about by taking into account the conjugate of the data matrix for MUSIC algorithm and then reconstructing it.The various factors like the number of array elements, number of snapshots, varying the distance between array elements, varying SNR and the difference in arrival angles can bring about better resolutions.The comparisons for MUSIC and Improved MUSIC algorithm are widely discussed.

Key concepts: Multiple signal classification, Direction of arrival, Computer science, Algorithm, Signal subspace, SIGNAL (programming language), Subspace topology, Direction finding

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