Open Access

ARTICLE

Array Shape Estimation Using Partitioned Eigenstructure Method with Sources in Unknown Localizations

Changgeng Shuai^{1, 2}, Shike Zhang^{1, 2}, Jiaxuan Yang^{1, 2}, Sitong Zhou^{1, 2}

1 Institute of Noise & vibration, Naval University of Engineering, Wuhan, 430033, China
2 National Key Laboratory on Ship Vibration & Noise, Wuhan, 430033, China
The author can be reached at: mjianguo0722@163.com.

Sound & Vibration 2018, 52(4), 2-5. https://doi.org/10.32604/sv.2018.03724

Abstract

Advanced array processing approaches require accurate knowledge of the location of individual element in a sensor array. Most array shape estimation methods require the directions of sources. In this paper, an array shape estimation method based on eigen-decomposition is presented. The directions of sources do not need to be considered in advance and optimal array shape is generated through a series of iterations. To further improve the accuracy of this algorithm, a partitioned eigenstructure method is introduced. Numerical simulations using non-partitioned and partitioned method are conducted to verify the performance of the proposed technique.

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Keywords

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