基于圖像準則的SAR/ISAR相位補償技術的研究
PHASE COMPENSATION OF SAR/ISAR USING IMAGE COST FUNCTIONS
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摘要: 相位補償是SAR/ISAR的關鍵技術。本文提出逐級逼近算法,基于圖像評價函數(shù),對SAR/ISAR中的隨機干擾相位進行補償。我們比較了四種典型的圖像評價函數(shù),仿真和實測數(shù)據(jù)的計算結果表明,逐級逼近算法是一種有效的計算方法。同時,在四種圖像評價函數(shù)中,以最小Shannon熵準則性能最好,它能確保對未知信號中干擾相位的正確估計。Abstract: Phase compensation is a critical step of Synthetic Aperture Radar(SAR) and Inverse Synthetic Aperture Radar(ISAR) imaging technique. This paper proposes a progressive approach algorithm based on image cost function to compensate the random phase error in SAR/ISAR imagery. Four kinds of image cost function are discussed. The comparison of the proposed function is performed by analyzing the simulation and experimental results. It is found out that Shannon entropy function is the best one. Based on it, the interference phase in unknown signal can be estimated accurately.
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