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零訓練樣本的集中式MIMO雷達斜對稱檢測器

楊海峰 蔣國喜 劉維建 謝文沖 王永良

楊海峰, 蔣國喜, 劉維建, 謝文沖, 王永良. 零訓練樣本的集中式MIMO雷達斜對稱檢測器[J]. 電子與信息學報, 2018, 40(2): 479-485. doi: 10.11999/JEIT170295
引用本文: 楊海峰, 蔣國喜, 劉維建, 謝文沖, 王永良. 零訓練樣本的集中式MIMO雷達斜對稱檢測器[J]. 電子與信息學報, 2018, 40(2): 479-485. doi: 10.11999/JEIT170295
YANG Haifeng, JIANG Guoxi, LIU Weijian, XIE Wenchong, WANG Yongliang. Persymmetric Detectors Without Training Data for Colocated MIMO Radar[J]. Journal of Electronics & Information Technology, 2018, 40(2): 479-485. doi: 10.11999/JEIT170295
Citation: YANG Haifeng, JIANG Guoxi, LIU Weijian, XIE Wenchong, WANG Yongliang. Persymmetric Detectors Without Training Data for Colocated MIMO Radar[J]. Journal of Electronics & Information Technology, 2018, 40(2): 479-485. doi: 10.11999/JEIT170295

零訓練樣本的集中式MIMO雷達斜對稱檢測器

doi: 10.11999/JEIT170295
基金項目: 

國家自然科學基金青年基金(61501505, 61501506),湖北省自然科學基金(2015CFB607)

Persymmetric Detectors Without Training Data for Colocated MIMO Radar

Funds: 

The National Natoural Science Foundation of China (61501505, 61501506), The Hubei Provincial Natural Science Foundation (2015CFB607)

  • 摘要: 傳統(tǒng)集中式多輸入多輸出(MIMO)雷達自適應檢測器雖然不需要訓練樣本即可實現(xiàn)目標檢測,但在波形采樣數(shù)較少時檢測性能下降明顯。該文利用集中式MIMO雷達噪聲協(xié)方差矩陣的斜對稱結構,基于廣義似然比(Generalized Likelihood Ratio Test, GLRT)準則和Wald準則,提出了相應的斜對稱檢測器,并給出了統(tǒng)計分布特性及檢測概率和虛警概率的解析表達式。仿真結果表明所提檢測器在波形采樣數(shù)較少時仍可獲得較好的檢測性能,同時證明了理論分析的正確性。
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出版歷程
  • 收稿日期:  2017-04-05
  • 修回日期:  2017-11-15
  • 刊出日期:  2018-02-19

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