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基于分形特性改進(jìn)的EMD目標(biāo)檢測算法

張林 李秀友 劉寧波 關(guān)鍵

張林, 李秀友, 劉寧波, 關(guān)鍵. 基于分形特性改進(jìn)的EMD目標(biāo)檢測算法[J]. 電子與信息學(xué)報, 2016, 38(5): 1041-1046. doi: 10.11999/JEIT150731
引用本文: 張林, 李秀友, 劉寧波, 關(guān)鍵. 基于分形特性改進(jìn)的EMD目標(biāo)檢測算法[J]. 電子與信息學(xué)報, 2016, 38(5): 1041-1046. doi: 10.11999/JEIT150731
ZHANG Lin, LI Xiuyou, LIU Ningbo, GUAN Jian. Improved EMD Target Detection Method Based on Mono Fractal Characteristics[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1041-1046. doi: 10.11999/JEIT150731
Citation: ZHANG Lin, LI Xiuyou, LIU Ningbo, GUAN Jian. Improved EMD Target Detection Method Based on Mono Fractal Characteristics[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1041-1046. doi: 10.11999/JEIT150731

基于分形特性改進(jìn)的EMD目標(biāo)檢測算法

doi: 10.11999/JEIT150731
基金項目: 

國家自然科學(xué)基金(61501487, 61471382, 61401495, 61201445, 61179017),山東省自然科學(xué)基金(2015ZRA06052),泰山學(xué)者建設(shè)工程專項經(jīng)費

Improved EMD Target Detection Method Based on Mono Fractal Characteristics

Funds: 

The National Natural Science Foundation of China (61501487, 61471382, 61401495, 61201445, 61179017), The Natural Science Foundation of Shandong Province (2015ZRA 06052), The Special Funds of Taishan Scholars Construction Engineering

  • 摘要: 為克服原有檢測算法在目標(biāo)和海雜波混疊時檢測性能下降的問題,該文提出一種基于分形特性改進(jìn)的經(jīng)驗?zāi)B(tài)分解(EMD)目標(biāo)檢測算法。該算法對原始信號經(jīng)經(jīng)驗?zāi)B(tài)分解后得到的固有模態(tài)函數(shù)進(jìn)行數(shù)據(jù)重構(gòu),再采用快速傅里葉變換獲得去噪后的海雜波單元和目標(biāo)單元的頻譜,計算兩者的單一Hurst指數(shù),并將其輸入非參量檢測器中進(jìn)行目標(biāo)檢測。研究表明,雖然目標(biāo)和海雜波在頻譜中難以區(qū)分,但兩者在無標(biāo)度區(qū)間內(nèi)的單一Hurst指數(shù)存在差異,因此所提檢測算法相比于原有頻域檢測算法性能更優(yōu)。
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出版歷程
  • 收稿日期:  2015-06-15
  • 修回日期:  2016-01-29
  • 刊出日期:  2016-05-19

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