本文選題：合成孔徑雷達(dá) + K分布　； 參考：《信號(hào)處理》2017年11期

【摘要】：準(zhǔn)確估計(jì)模型參數(shù)是對(duì)合成孔徑雷達(dá)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(dá)(Synthetic Aperture Radar,SAR)圖像雜波統(tǒng)計(jì)特性的概率模型,針對(duì)多視K分布雜波模型,該文總結(jié)了現(xiàn)有的參數(shù)估計(jì)方法,將常見的9種矩估計(jì)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(dǎo)了各估計(jì)器估計(jì)偏差和方差的解析表達(dá)式。本文對(duì)各種估計(jì)器的性能進(jìn)行了對(duì)比與分析,結(jié)果表明,估計(jì)器的性能取決于視數(shù)、樣本數(shù)、待估計(jì)階參數(shù)的取值范圍以及估計(jì)器的計(jì)算量,并且得到了不同應(yīng)用場(chǎng)景與條件下合理選擇估計(jì)器的一般原則。在實(shí)際應(yīng)用中,應(yīng)該根據(jù)具體情況來(lái)選擇合適的估計(jì)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(xué)院科研部;中國(guó)人民解放軍94829部隊(duì);海軍航空工程學(xué)院電子信息工程系;
【分類號(hào)】：TN957.52
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本文編號(hào)：1862627