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

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

計量
- 文章訪問數(shù): 1608
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- PDF下載量: 351
- 被引次數(shù): 0
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

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

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)。
- 目標(biāo)檢測 /
- 經(jīng)驗?zāi)B(tài)分解 /
- 分形理論 /
- 廣義符號 /
- 海雜波
Abstract: In order to overcome the detection performance degradation of the existing detection method when the target and sea clutter is hard to distinguish, an improved target detection method based on mono fractal characteristics is proposed. Firstly, for getting the Intrinsic Mode Function (IMF) after reconstruction, the original signal is decomposed by using Empirical Mode Decomposition (EMD), then the spectrum of target bin and sea clutter bin after denoising is gained by using Fast Fourier Transform (FFT), Mono-Hurst exponents are calculated and the target is detected by nonparametric detector. The results show that, although target and sea clutter is hard to distinguish from frequency spectrum, but their Mono-Hurst exponents is different in scale-invariant interval, compared with original detection method in frequency domain, the proposed method can achieve good detection performance.
- Target detections /
- Empirical Mode Decomposition (EMD) /
- Fractal theories /
- Generalized sign /
- Sea clutter

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