【摘要】：針對窄帶雷達(dá)獲取的多目標(biāo)回波中微多普勒信息相互交疊、難以分離與提取的問題,提出了一種基于拍賣算法和小波分析相結(jié)合的多目標(biāo)微多普勒分離方法。在滑動(dòng)散射模型的基礎(chǔ)上,首先通過對回波信號(hào)進(jìn)行預(yù)處理得到時(shí)頻骨架,再根據(jù)彈道目標(biāo)多普勒的變化規(guī)律及估計(jì)的進(jìn)動(dòng)周期定義路徑長度,利用拍賣算法提取出多條多普勒曲線對應(yīng)的最短路徑,最后采用小波分析法消除多普勒曲線中的剩余平動(dòng)分量,實(shí)現(xiàn)了多目標(biāo)微多普勒的分離。仿真結(jié)果表明,該方法能夠較好地解決交叉區(qū)域的路徑選擇問題,且抗噪性較好,適用于多種微動(dòng)形式。
[Abstract]:Aiming at the problem that the micro-Doppler information in the multi-target echo obtained by narrowband radar overlaps with each other and is difficult to separate and extract, a multi-target micro-Doppler separation method based on auction algorithm and wavelet analysis is proposed. Based on the sliding scattering model, the time-frequency skeleton is obtained by preprocessing the echo signal, and then the path length is defined according to the Doppler variation law of the ballistic target and the estimated precession period. The shortest path corresponding to multiple Doppler curves is extracted by auction algorithm. Finally, wavelet analysis is used to eliminate the remaining translational components in the Doppler curve, and the separation of multi-target micro-Doppler is realized. The simulation results show that the proposed method can solve the path selection problem in the crossover region and has good noise resistance and is suitable for various fretting forms.
【作者單位】： 空軍工程大學(xué)防空反導(dǎo)學(xué)院;信息感知技術(shù)協(xié)同創(chuàng)新中心;
【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(jì)劃(2014JM8308)~~
【分類號(hào)】：TN957.51

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