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一種分數(shù)低階局部最優(yōu)目標檢測方法

鄭作虎,  王首勇

鄭作虎, 王首勇. 一種分數(shù)低階局部最優(yōu)目標檢測方法[J]. 電子與信息學報, 2015, 37(9): 2158-2163. doi: 10.11999/JEIT150108
引用本文: 鄭作虎, 王首勇. 一種分數(shù)低階局部最優(yōu)目標檢測方法[J]. 電子與信息學報, 2015, 37(9): 2158-2163. doi: 10.11999/JEIT150108
Zheng Zuo-hu, Wang Shou-yong. Target Detection Method Based on Fractional Lower Order Locally Optimum Detector[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2158-2163. doi: 10.11999/JEIT150108
Citation: Zheng Zuo-hu, Wang Shou-yong. Target Detection Method Based on Fractional Lower Order Locally Optimum Detector[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2158-2163. doi: 10.11999/JEIT150108

一種分數(shù)低階局部最優(yōu)目標檢測方法

doi: 10.11999/JEIT150108
基金項目: 

國家自然科學基金(61179014, 61302193)

Target Detection Method Based on Fractional Lower Order Locally Optimum Detector

  • 摘要: ：針對傳統(tǒng)局部最優(yōu)檢測器在顯著非高斯雜波背景下導(dǎo)致檢測性能下降的問題，該文提出一種分數(shù)低階局部最優(yōu)雷達目標檢測方法。首先對局部最優(yōu)檢測器的模型進行簡化，在此基礎(chǔ)上，根據(jù)分數(shù)低階統(tǒng)計量理論，利用分數(shù)低階相關(guān)矩陣描述雜波的相關(guān)特征，并以分數(shù)低階二次型作為局部最優(yōu)檢測器的權(quán)值，改善了顯著非高斯雜波背景下的雷達目標檢測性能。利用仿真數(shù)據(jù)和IPIX雷達數(shù)據(jù)進行實驗分析，結(jié)果表明，針對顯著的非高斯雜波背景下的弱目標信號，相對于傳統(tǒng)的局部最優(yōu)檢測方法，該文方法的檢測性能顯著提高。
    Abstract: The target detection performance of the locally optimum detector descends in the bad non-Gaussian clutter environment. To deal with this problem, a radar target detection method based on the fractional lower order locally optimum is proposed. First, the simplified locally optimum detector is obtained, then, based on the fractional lower order statistics theory, the fractional lower order correlation matrix expresses the clutter correlation and the fractional lower order quadratic form is proposed as the weight of the locally optimum detector to improve the radar target detection in a non-Gaussian correlated clutter background. Simulations and IPIX radar data results show that, the detection performance of the proposed method obviously outperforms the locally optimum detector in the non-Gaussian badly clutter environment for the weak target.
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出版歷程
  • 收稿日期:  2015-01-21
  • 修回日期:  2015-05-15
  • 刊出日期:  2015-09-19

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