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Analysis of Performance for Entropy-Based ISAR Autofocus Technique  

Bae, Jun-Woo (Department of Electronic Engineering, Yeungnam University)
Kim, Kyung-Tae (Department of Electronic Engineering, Yeungnam University)
Lee, Jin-Ho (Korea Aerospace Research Institute)
Im, Jeong-Heom (Korea Aerospace Research Institute)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.17, no.12, 2006 , pp. 1249-1258 More about this Journal
Abstract
Two-dimensional(2-D) radar images, namely, ISAR images from a maneuvering target include unwanted phase errors due to the target's motion. These phase errors make ISAR images to be blurred. The ISAR autofocus technique is required in order to remove these unwanted phase errors. Unless those unwanted phase errors produced by the target's motion are removed prior to target identification, we cannot expect a reliable target identification performance. In this paper, we use the entropy-based ISAR autofocus technique which consists of two steps: range alignment and phase adjustment. We analyze a relationship between the number of sampling point and a image quality in a range alignment algorithm and also analyze a technique for reducing computation time of the SSA(Stage-by-Stage Approachng) algorithm in a phase adjustment.
Keywords
ISAR; Autofocus; Motion Compensation; Chirp Pulse Radar; Target Identification; Entropy;
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