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

    Changgeng Shuai1, 2, Shike Zhang1, 2, Jiaxuan Yang1, 2, Sitong Zhou1, 2

    Sound & Vibration, Vol.52, No.4, pp. 2-5, 2018, DOI: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. More >

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