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On 2D forward-backward spatial smoothing for azimuth and elevation estimation of coherent signals

Huiyue Yi, Xilang Zhou

Open publisher page 13 citations

Abstract

The paper presents two-dimensional forward-backward spatial smoothing for estimating the azimuth and elevation of fully coherent sources using a uniform rectangular array (URA). To guarantee the resolvability of K coherent signals for all possible cases, the minimum size of the total URA is 3K/2/spl times/3K/2 for the proposed method and 2K/spl times/2K for the existing forward-only 2D spatial smoothing scheme. Simulation results are presented to verify the effectiveness of the proposed method.

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What this paper is about

The paper presents two-dimensional forward-backward spatial smoothing for estimating the azimuth and elevation of fully coherent sources using a uniform rectangular array (URA). To guarantee the resolvability of K coherent signals for all possible cases, the minimum size of the total URA is 3K/2/spl times/3K/2 for the proposed method and 2K/spl times/2K for the existing forward-only 2D spatial smoothing scheme. Simulation results are presented to verify the effectiveness of the proposed method.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper presents two-dimensional forward-backward spatial smoothing for estimating the azimuth and elevation of fully coherent sources using a uniform rectangular array (URA). To guarantee the resolvability of K coherent signals for all possible cases, the minimum size of the total URA is 3K/2/spl times/3K/2 for the proposed method and 2K/spl times/2K for the existing forward-only 2D spatial smoothing scheme. Simulation results are presented to verify the effectiveness of the proposed method.

Key concepts: Smoothing, Azimuth, Elevation (ballistics), Computer science, Algorithm, Elevation angle, Mathematics, Optics

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