本文選題：機(jī)載SAR + 極化定標(biāo)��； 參考：《電子與信息學(xué)報》2017年10期

【摘要】：極化定標(biāo)是目標(biāo)檢測、分類識別和定量反演等實(shí)際應(yīng)用的重要前提。載機(jī)平臺的姿態(tài)變化會引起極化指向角的變化,從而降低極化定標(biāo)精度。針對這一問題前人已提出了基于Whitt算法的改進(jìn)算法。該文詳細(xì)分析了這些改進(jìn)算法存在的問題,并在此基礎(chǔ)上提出了一種考慮通道不平衡的逐脈沖補(bǔ)償時變姿態(tài)的極化定標(biāo)算法,能夠有效地抑制姿態(tài)變化對極化定標(biāo)的影響。仿真實(shí)驗(yàn)和實(shí)測數(shù)據(jù)處理驗(yàn)證了該算法的有效性。
[Abstract]:Polarization calibration is an important prerequisite for target detection, classification recognition and quantitative inversion. The attitude change of the platform will lead to the change of polarization pointing angle, which will reduce the precision of polarization calibration. An improved algorithm based on Whitt algorithm has been proposed to solve this problem. In this paper, the problems of these improved algorithms are analyzed in detail, and on the basis of these problems, a new polarization calibration algorithm is proposed, which considers the channel imbalance and compensates the time-varying attitude by pulse, which can effectively suppress the influence of the attitude change on the polarization calibration. The effectiveness of the algorithm is verified by simulation and data processing.
【作者單位】： 中國科學(xué)院電子學(xué)研究所;微波成像技術(shù)國家級重點(diǎn)實(shí)驗(yàn)室;中國科學(xué)院大學(xué);
【基金】：國家863計劃項(xiàng)目(2013AA092105)~~
【分類號】：TN957.52

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本文編號：1917890