【摘要】：經(jīng)驗(yàn)?zāi)B(tài)分解算法在海雜波抑制和目標(biāo)檢測(cè)方面具有應(yīng)用潛力,但如何實(shí)現(xiàn)模態(tài)函數(shù)自動(dòng)篩選和判別是算法的關(guān)鍵問題。通過分析模態(tài)函數(shù)諧波模型,提取其信號(hào)特征譜,選取檢測(cè)量實(shí)現(xiàn)目標(biāo)自動(dòng)檢測(cè)。首先,對(duì)雷達(dá)回波進(jìn)行復(fù)數(shù)經(jīng)驗(yàn)?zāi)B(tài)分解;然后對(duì)得到的各個(gè)內(nèi)模分量提取特征譜,并根據(jù)特征譜分布情況得到散布特征;最后基于散布特征在各個(gè)內(nèi)模函數(shù)間的分布差異實(shí)現(xiàn)目標(biāo)檢測(cè)。實(shí)測(cè)微波多普勒雷達(dá)數(shù)據(jù)處理結(jié)果表明,目標(biāo)檢測(cè)結(jié)果和實(shí)際情況一致,且在一定的虛警率約束下檢測(cè)概率較傳統(tǒng)檢測(cè)算法有一定提高,為雷達(dá)海洋目標(biāo)檢測(cè)提供了新方案。
[Abstract]:The empirical mode decomposition (EMD) algorithm has potential applications in sea clutter suppression and target detection, but how to automatically select and discriminate modal functions is the key problem of the algorithm. By analyzing the harmonic model of modal function, the characteristic spectrum of the signal is extracted, and the automatic detection of the target is realized by selecting the detection method. Firstly, the radar echo is decomposed by complex empirical mode, and then the characteristic spectrum is extracted from each internal model component, and the scattering feature is obtained according to the distribution of the characteristic spectrum. Finally, the target detection is realized based on the distribution difference among the internal model functions. The data processing results of the measured microwave Doppler radar show that the target detection results are consistent with the actual situation, and the detection probability under the constraint of a certain false alarm rate is higher than that of the traditional detection algorithm, which provides a new scheme for radar ocean target detection.
【作者單位】： 武漢大學(xué)電子信息學(xué)院;武漢大學(xué)地球空間信息技術(shù)協(xié)同創(chuàng)新中心;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(41376182,41506201) 湖北省科技支撐計(jì)劃項(xiàng)目(2014BEC057) 國(guó)家重點(diǎn)研發(fā)計(jì)劃課題(2016YFC1400504) 海洋公益性行業(yè)科研專項(xiàng)重大項(xiàng)目(201205032)
【分類號(hào)】：TN957.51
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本文編號(hào)：2431991