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Statistic characteristic analysis of forward scattering surface clutter in bistatic radar

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Abstract

In this paper, based on the processing results of measured forward scattering clutter data in bistatic radar, using the Gaussian distribution model, Exponential distribution model, Power-Law distribution model, high order Auto-Regressive model and so on, the probability density distribution and power spectrum mathematical model are obtained, and the impact of clutter statistic models on target detection performance is analytically derived from statistic theory. According to the estimated clutter probability distribution, power spectrum model and generalized matching filter theory, the forward scattering clutter in bistatic radar is effectively suppressed and the target motion parameters are accurately estimated from the measured clutter data.

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Authors and Affiliations

  1. Radar Research Lab, Department of Electronic Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Cheng Hu, Teng Long & Tao Zeng

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  1. Cheng Hu
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  2. Teng Long
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  3. Tao Zeng
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Correspondence to Cheng Hu.

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Hu, C., Long, T. & Zeng, T. Statistic characteristic analysis of forward scattering surface clutter in bistatic radar. Sci. China Inf. Sci. 53, 2675–2686 (2010). https://doi.org/10.1007/s11432-010-4119-1

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  • DOI: https://doi.org/10.1007/s11432-010-4119-1

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