Locally optimum detector for MIMO radar in non-Gaussian clutter

Xiaobo Zhu; Shouyong Wang

doi:10.1117/12.913445

1 October 2011 Locally optimum detector for MIMO radar in non-Gaussian clutter

Xiaobo Zhu, Shouyong Wang

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82855U (2011) https://doi.org/10.1117/12.913445
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

The optimum Gaussian detector of MIMO radar no longer works well in non-Gaussian clutter environment. Therefore, a locally optimum (LO) detector based on alpha stable distribution is proposed for the signal detection of MIMO radar. The proposed method assumes that the MIMO radar clutter satisfies alpha stable distribution, according to the multiple-input multiple-output characteristics of the signal model, a locally optimum detection statistics for MIMO radar is presented based on the generalized Neyman-Pearson lemma. Both theoretical analysis and simulation results show that the optimum Gaussian detector suffers serious performance degradation in non-Gaussian clutter, whereas the proposed detector can achieve good performance and outperforms the Gaussian detector significantly.

Citation Download Citation

Xiaobo Zhu and Shouyong Wang "Locally optimum detector for MIMO radar in non-Gaussian clutter", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82855U (1 October 2011); https://doi.org/10.1117/12.913445

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