本文選題：合成孔徑雷達 + K分布　； 參考：《信號處理》2017年11期

【摘要】：準確估計模型參數(shù)是對合成孔徑雷達圖像空變背景雜波精確建模的重要前提。K分布是一種廣泛應(yīng)用于描述合成孔徑雷達(Synthetic Aperture Radar,SAR)圖像雜波統(tǒng)計特性的概率模型,針對多視K分布雜波模型,該文總結(jié)了現(xiàn)有的參數(shù)估計方法,將常見的9種矩估計器推廣到多視SAR圖像的雜波建模中,并采用近似展開法推導了各估計器估計偏差和方差的解析表達式。本文對各種估計器的性能進行了對比與分析,結(jié)果表明,估計器的性能取決于視數(shù)、樣本數(shù)、待估計階參數(shù)的取值范圍以及估計器的計算量,并且得到了不同應(yīng)用場景與條件下合理選擇估計器的一般原則。在實際應(yīng)用中,應(yīng)該根據(jù)具體情況來選擇合適的估計器。
[Abstract]:Accurate estimation of model parameters is an important prerequisite for accurate modeling of space-variant background clutter in synthetic Aperture Radar (SAR) images. K distribution is a probability model widely used to describe the statistical characteristics of synthetic Aperture Radar synthetic Aperture Radarr (SAR) images. For the multi-view K-distributed clutter model, this paper summarizes the existing parameter estimation methods, and generalizes nine common moment estimators to the clutter modeling of multi-view SAR images. The analytical expressions of the estimated deviation and variance of the estimators are derived by using the approximate expansion method. In this paper, the performance of various estimators is compared and analyzed. The results show that the performance of the estimator depends on the visual number, the number of samples, the range of parameters to be estimated and the amount of calculation of the estimator. The general principles of reasonable selection of estimators under different application scenarios and conditions are obtained. In practical application, the suitable estimator should be selected according to the specific situation.
【作者單位】： 海軍航空工程學院科研部;中國人民解放軍94829部隊;海軍航空工程學院電子信息工程系;
【分類號】：TN957.52
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本文編號：1862627