2018Unpublished venueRequires access

A Two-Dimensional DOA Estimation Method for Very Low SNR

D. Guy Segba, N. Hakem

Open publisher page 1 citations

Abstract

In this paper, we propose a new method to mitigate the effect of low signal to noise ratio (SNR) on two-dimensional (2-D) Direction of arrival (DOA) estimation. This method consists to extend the antenna steering vectors before applying the MUltiple SIgnal Classification (MUSIC) algorithm for 2-D DOA estimation. The simulation results show a good location accuracy enhancement.

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What this paper is about

In this paper, we propose a new method to mitigate the effect of low signal to noise ratio (SNR) on two-dimensional (2-D) Direction of arrival (DOA) estimation. This method consists to extend the antenna steering vectors before applying the MUltiple SIgnal Classification (MUSIC) algorithm for 2-D DOA estimation. The simulation results show a good location accuracy enhancement.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we propose a new method to mitigate the effect of low signal to noise ratio (SNR) on two-dimensional (2-D) Direction of arrival (DOA) estimation. This method consists to extend the antenna steering vectors before applying the MUltiple SIgnal Classification (MUSIC) algorithm for 2-D DOA estimation. The simulation results show a good location accuracy enhancement.

Key concepts: Multiple signal classification, Direction of arrival, Computer science, Signal-to-noise ratio (imaging), Algorithm, SIGNAL (programming language), Antenna (radio), Noise (video)

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