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Joint Multi-parameters Estimation of Near-field and Far-field Sources Based on the Fourth Order Cumulant |
Xu Yuan-xin Wang An-guo Nie Zhong-er |
School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China |
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Abstract A new algorithm for jointly estimating multi-parameters (the frequency, Direction Of Arrival (DOA) and range) of sources is proposed. The proposed algorithm does not require spectral peak search, and can be applied to arbitrary Gaussian noise environment. It can reduce the aperture loss. Moreover, the fourth order cumulant matrices are constructed using the special sensor outputs, and the rank reduction of matrices can be avoided when the far-field sources impinging on an array of sensors. So the proposed algorithm can be used to estimate the parameters of near-field, far-field and mixed sources. The performance of the proposed method is validated by simulations.
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Received: 29 November 2010
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Corresponding Authors:
Xu Yuan-xin
E-mail: xxuyuanxin@163.com
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