全極化高分辨雷達距離像統(tǒng)計識別方法

馮德軍; 王雪松; 肖順平; 王國玉

全極化高分辨雷達距離像統(tǒng)計識別方法

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出版歷程
- 收稿日期: 2004-08-10
- 修回日期: 2004-12-20
- 刊出日期: 2006-03-19

A Statistical Identification Method of Polarimetric High Resolution Rangeprofile

摘要

摘要: 在全極化、高分辨雷達體制背景下，提出一種將極化信息與高分辨距離像相結合的雷達目標統(tǒng)計識別方法。采用物理統(tǒng)計非高斯模型對全極化高分辨距離像建模，用模型參數(shù)分別表征具有較強散射強度分辨單元的多少和強弱，將全極化下的模型參數(shù)直接作為特征矢量，并采用Parzen窗法估計模型參數(shù)的概率分布密度，用貝葉斯分類器進行分類識別。對實測的導彈類目標識別結果表明，該方法能有效克服距離像特征依賴于方位信息的缺點，達到令人滿意的識別結果。
- 全極化; 一維距離像;雷達目標識別; 統(tǒng)計
Abstract: For the polarimetric and high-resolution radar system, a novel method is proposed, where the polarization and high resolution range profile are integrated for radar target recognition. The physical-statistical non-Gaussian model is used to model for polarimetric high resolution range profile. The model parameters describe the scattering physical characteristics of radar target and are adopted as feature vector for radar target recognition. Furthermore, Parzen window is used to estimate the probability distribution function of model parameter and the classifier is designed via Bayes theorem. The method is applied to the classification of several kinds of missile. Numerical eresults have shown that the method can extract the features which are independent to target orientation and are effective to radar target recognition.

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