本文選題：形態(tài)濾波 + 特征提取��； 參考：《兵器材料科學(xué)與工程》2017年03期

【摘要】：針對(duì)傳統(tǒng)線性信號(hào)分析方法在處理地面目標(biāo)震動(dòng)信號(hào)上的局限性,提出采用形態(tài)濾波提取目標(biāo)信號(hào)的特征信息,利用仿真信號(hào)和實(shí)測(cè)的兩類車輛目標(biāo)震動(dòng)信號(hào)進(jìn)行對(duì)比分析。結(jié)果表明:與4種基本形態(tài)濾波器和小波濾波器相比,形態(tài)差值濾波器能在強(qiáng)噪聲環(huán)境下有效提取目標(biāo)信號(hào)的特征信息,同時(shí)不受低頻信號(hào)干擾,為基于震動(dòng)信號(hào)的地面目標(biāo)精確識(shí)別提供一條新的途徑。
[Abstract]:Aiming at the limitation of the traditional linear signal analysis method in dealing with the ground target vibration signal, the morphological filter is used to extract the characteristic information of the target signal, and the simulation signal and the measured two kinds of vehicle target vibration signal are compared and analyzed.The results show that compared with the four basic morphological filters and wavelet filters, the morphological difference filters can effectively extract the characteristic information of the target signals in the strong noise environment, and are not disturbed by the low-frequency signals at the same time.It provides a new way for ground target recognition based on vibration signal.
【作者單位】： 解放軍理工大學(xué)野戰(zhàn)工程學(xué)院;近地面探測(cè)與感知技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61501468)
【分類號(hào)】：TJ5;TN713;TN911.6

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1 覃騁;SAR/GMTI車輛目標(biāo)微動(dòng)信號(hào)仿真、提取和特征分析[D];杭州電子科技大學(xué);2014年

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本文編號(hào)：1754976