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Fast Spectrum Estimation in 2-D Direction Finding with MUSIC Algorithm

Shiliang Wu, Junqi Luo

Open publisher page 4 citations

Abstract

Principles of two dimensional MUSIC algorithm has been introduced in this thesis. Two methods for searching the spectrum peaks are indicated, i.e., method in solving the inflexions of spectrum function and method with variable searching step. Simulations prove that the two methods can obviously improve the speed in searching direction finding with MUSIC algorithm

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What this paper is about

Principles of two dimensional MUSIC algorithm has been introduced in this thesis. Two methods for searching the spectrum peaks are indicated, i.e., method in solving the inflexions of spectrum function and method with variable searching step. Simulations prove that the two methods can obviously improve the speed in searching direction finding with MUSIC algorithm

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Principles of two dimensional MUSIC algorithm has been introduced in this thesis. Two methods for searching the spectrum peaks are indicated, i.e., method in solving the inflexions of spectrum function and method with variable searching step. Simulations prove that the two methods can obviously improve the speed in searching direction finding with MUSIC algorithm

Key concepts: Multiple signal classification, Spectrum (functional analysis), Algorithm, Computer science, Function (biology), Variable (mathematics), Direction finding, Mathematics

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