本文選題：微多普勒　切入點：完備總體經(jīng)驗?zāi)B(tài)分解　出處：《系統(tǒng)仿真學(xué)報》2017年06期 　論文類型：期刊論文

【摘要】：針對彈道中段彈頭和碎片的微多普勒信息在多普勒譜中交纏重疊、難以分離與提取的問題,提出了一種基于完備總體經(jīng)驗?zāi)B(tài)分解(CEEMD)和改進(jìn)自適應(yīng)Viterbi算法相結(jié)合的多目標(biāo)微多普勒信號分離與提取方法。通過分析進(jìn)動彈頭與旋轉(zhuǎn)碎片微多普勒分布的差異性,對多目標(biāo)回波信號進(jìn)行CEEMD分解,結(jié)合小波閾值去噪方法,對各本征模態(tài)函數(shù)(IMF)進(jìn)行分層處理并累加,分離出了彈頭和碎片回波。對碎片信號進(jìn)行了擴(kuò)展處理,利用改進(jìn)自適應(yīng)Viterbi算法,抽取出相應(yīng)的最優(yōu)路徑,實現(xiàn)多目標(biāo)信號分離與微多普勒提取。仿真表明,該方法能有效克服多目標(biāo)之間的干擾及噪聲的影響,較好地實現(xiàn)了彈道多目標(biāo)分離及微多普勒提取。
[Abstract]:Aiming at the problem that the microDoppler information of warhead and debris in the middle part of trajectory overlaps in Doppler spectrum, it is difficult to separate and extract. A multi-target microDoppler signal separation and extraction method based on complete global empirical mode decomposition (EMD) and improved adaptive Viterbi algorithm is proposed. The multi-target echo signal is decomposed by CEEMD, combined with wavelet threshold denoising method, each intrinsic mode function (IMF) is delaminated and accumulated, the warhead and fragment echo are separated, and the fragment signal is extended. The improved adaptive Viterbi algorithm is used to extract the corresponding optimal path to realize multi-target signal separation and micro-Doppler extraction. The simulation results show that the proposed method can effectively overcome the influence of interference and noise between multiple targets. Ballistic multi-target separation and micro-Doppler extraction are well realized.
【作者單位】： 空軍工程大學(xué)防空反導(dǎo)學(xué)院;
【基金】：國家自然科學(xué)基金(61372166,61501495) 陜西省自然科學(xué)基礎(chǔ)研究計劃(2014JM8308)
【分類號】：TJ761.3;TN957.51
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本文編號：1578366