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相參雷達(dá)K分布海雜波背景下非相干積累恒虛警檢測方法

張坤,  水鵬朗,  王光輝

張坤, 水鵬朗, 王光輝. 相參雷達(dá)K分布海雜波背景下非相干積累恒虛警檢測方法[J]. 電子與信息學(xué)報, 2020, 42(7): 1627-1635. doi: 10.11999/JEIT190441
引用本文: 張坤, 水鵬朗, 王光輝. 相參雷達(dá)K分布海雜波背景下非相干積累恒虛警檢測方法[J]. 電子與信息學(xué)報, 2020, 42(7): 1627-1635. doi: 10.11999/JEIT190441
Kun ZHANG, Penglang SHUI, Guanghui WANG. Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1627-1635. doi: 10.11999/JEIT190441
Citation: Kun ZHANG, Penglang SHUI, Guanghui WANG. Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1627-1635. doi: 10.11999/JEIT190441

相參雷達(dá)K分布海雜波背景下非相干積累恒虛警檢測方法

doi: 10.11999/JEIT190441 cstr: 32379.14.JEIT190441

  • 西安電子科技大學(xué)雷達(dá)信號處理國家重點實驗室 西安 710171

基金項目: 國家自然科學(xué)基金(61671357)
詳細(xì)信息
    作者簡介:

    張坤：男，1989年生，博士生，主要研究方向為壓縮感知、雷達(dá)信號處理和海面目標(biāo)檢測及其參數(shù)估計

    水鵬朗：男，1967年生，教授，博士生導(dǎo)師，研究方向為雷達(dá)目標(biāo)探測、圖像處理和濾波器組設(shè)計與應(yīng)用

    王光輝：男，1990年生，碩士生，主要研究方向為海雜波模型建模和目標(biāo)檢測算法

    通訊作者:

    張坤　xidiankun@163.com；kzhang_1608@stu.xidian.edu.cn

  • 中圖分類號: TN959.72

Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems

  • National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Nature Science Foundation of China (61671357)
  • 摘要:

    相參雷達(dá)系統(tǒng)下的非相干積累檢測方法，可以提高雷達(dá)的目標(biāo)檢測速度，達(dá)到實時處理的要求。然而，相參雷達(dá)系統(tǒng)下的非相干積累檢測方法對參考單元數(shù)、脈沖積累數(shù)、雜波散斑協(xié)方差矩陣以及海雜波模型的形狀參數(shù)均是非恒虛警(CFAR)的。該文基于塊白化的海雜波預(yù)白化方法，提出預(yù)白化單元平均恒虛警(PWCA-CFAR)檢測方法和預(yù)白化單元中值恒虛警(PWCM-CFAR)檢測方法，并使用了匹配于參考單元數(shù)、脈沖積累數(shù)、形狀參數(shù)的自適應(yīng)門限，確保提出檢測方法的恒虛警特性。實驗結(jié)果表明，當(dāng)存在異常單元時，PWCM-CFAR檢測方法的檢測性能優(yōu)于PWCA-CFAR檢測方法。

    Abstract:

    The non-coherent integration detectors for coherent radar systems can promote the detection rate of the radar and meet the required real-time processing, however, these detectors are not Constant False Alarm Rate (CFAR) with respect to the reference cell number, the accumulated pulse number, the clutter speckle covariance matrix, and the shape parameter of the sea clutter model. Based on block-whitening method to whiten the sea clutter, a Pre-Whitening Cell-Averaging CFAR (PWCA-CFAR) detector and a Pre-Whitening Cell-Median CFAR (PWCM-CFAR) detector are proposed where the detection thresholds matching the reference cell number, accumulated pulse number and shape parameter are used. The experiment results show that the PWCM-CFAR detector attains better detection performance than the PWCA-CFAR detector when there exist abnormal cells.

    • HTML全文

  • 圖  1  CA-CFAR和CM-CFAR的檢測統(tǒng)計量在不同脈沖間相關(guān)系數(shù)下的經(jīng)驗累積分布函數(shù)

    圖  2  PWCA-CFAR和PWCM-CFAR檢測方法的原理框圖

    圖  3  不同異常分辨單元比例情況下PWCA-CFAR和PWCM-CFAR檢測方法的ROC曲線

    圖  4  不同形狀參數(shù)情況下PWCA-CFAR和PWCM-CFAR檢測方法的ROC曲線

    圖  5  在不同塊白化長度下PWCA-CFAR和PWCM-CFAR檢測方法的計算時間

    圖  6  3組數(shù)據(jù)的幅度圖

    圖  7  3組數(shù)據(jù)的幅度分布擬合結(jié)果

    圖  8  PWCA-CFAR和PWCM-CFAR檢測方法在3組數(shù)據(jù)不同目標(biāo)信雜比情況下的檢測概率

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出版歷程
  • 收稿日期:  2019-06-18
  • 修回日期:  2020-05-25
  • 網(wǎng)絡(luò)出版日期:  2020-06-04
  • 刊出日期:  2020-07-23

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