A Novel Algorithm to Estimate Closely Spaced Source DOA

Abstract

In order to improve resolution and direction of arrival (DOA) estimation of two closely spaced sources, in context of array processing, a new algorithm is presented. However, the proposed algorithm combines both spatial sampling technic to widen the resolution and a high resolution method which is the Multiple Signal Classification (MUSIC) to estimate the DOA of two closely spaced sources impinging on the far-field of Uniform Linear Array (ULA). Simulations examples are discussed to demonstrate the performance and the effectiveness of the proposed approach (referred as Spatial sampling MUSIC SS-MUSIC) compared to the classical MUSIC method when it's used alone in this context.

DTCWT-ICA based Improved DOA Estimation of Closely Spaced and Coherent Signals with Uniform Linear Array

“…In this section, simulation results on closely spaced coherent signals are presented to demonstrate the potential advantages of the proposed CW-ICA MUSIC algorithm compared to that of Waveletbased MUSIC [7], and classical MUSIC [2] algorithms respectively. The proposed technique is also compared with latest DOA estimation SS-MUSIC [14] technique in terms of the probability of resolution with SNR and angular separation (δθ). The simulations have been carried out with Matlab R2014a.…”

“…In this section, the DOA estimation performance of the proposed CW-ICA MUSIC method is compared with the latest method SS-MUSIC [14] to resolve closely spaced sources in terms of probability of resolution detection. The criterion for the probability of resolution is the ability to resolve closely spaced sources, and the two sources are said to be resolved in a given run expressed as [6],…”

“…DOA estimation of two closely spaced uncorrelated sources proposed by combining spatial sampling and MUSIC algorithm referred to as SS-MUSIC is reported in [14]. The proposed method improves the resolution but the accuracy needs to be further improved compared to the reported accuracy for the angular separation less than 4 0 .…”

“…DOA estimation algorithms need to be modified when the signals are closely spaced and coherent with 2 resolution with relatively very low SNR for the performance enhancement. Most of the DOA estimation methods designed for non-coherent signals or coherent but under high SNR conditions [5][6][7][8][9][10][11][12][13][14]. The signals are closely spaced due to multipath propagation; they usually become coherent.…”