2003Unpublished venueRequires access

2D angle and array response estimation with arbitrary array configuration

Liang Jin, Minli Yao, Qinye Yin

Open publisher page 1 citations

Abstract

Based on second-order statistics, we propose a novel method to estimate jointly the 2D angles of multiple independent sources and the corresponding array response. The method imposes no geometric constraint on the array and most of the sensors can be uncalibrated. With M sensors, 2D DOA and array response of M-1 sources can be estimated in a closed form without costly 2D search or optimization. Thus large amount of hardware and computation can be significantly saved.

About this research paper

What this paper is about

Based on second-order statistics, we propose a novel method to estimate jointly the 2D angles of multiple independent sources and the corresponding array response. The method imposes no geometric constraint on the array and most of the sensors can be uncalibrated. With M sensors, 2D DOA and array response of M-1 sources can be estimated in a closed form without costly 2D search or optimization. Thus large amount of hardware and computation can be significantly saved.

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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

Based on second-order statistics, we propose a novel method to estimate jointly the 2D angles of multiple independent sources and the corresponding array response. The method imposes no geometric constraint on the array and most of the sensors can be uncalibrated. With M sensors, 2D DOA and array response of M-1 sources can be estimated in a closed form without costly 2D search or optimization. Thus large amount of hardware and computation can be significantly saved.

Key concepts: Computation, Sensor array, Constraint (computer-aided design), Computer science, Algorithm, Mathematical optimization, Mathematics, Geometry

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