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      Study on Fast MUSIC Algorithm with Typical Array

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          Abstract

          Because MUSIC (MUltiple SIgnal Classification) algorithm needs a large number of multiplications and trigonometric function evaluations, it is weak in the real time processing. This paper is aim at resolving above problem. Firstly, by analyzing the structural features of the uniform circular array and the uniform linear array, some properties of steering vector are extracted. Then, the properties of Hermite matrix are employed to decompose the complex multiplication, and then two real vectors are constructed to reduce the number of multiplications. Finally, with the properties of steering vector, a new algorithm based on look-up-table is proposed. The new algorithm neither has any trigonometric function evaluation, nor requires much memory space. The result of simulation experiments shows that the new algorithm raises the rate of MUSIC algorithm more than 50 times, while ensures the same estimated results. Therefore, the new algorithm has a wide application prospect.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 June 2012
          : 1
          : 2
          : 149-156
          Affiliations
          [1 ] Department of Information Engineering, Electronic Engineering Institute
          Article
          b75899c15d90419385d6bb161602b202
          10.3724/SP.J.1300.2012.20026

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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