The Implementation of Chirp Scaling Algorithm Via Fast Fourier Transform

M. Khishe, Fallah Mohammadzadeh, G. Parvizi
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Abstract

Synthetic aperture radar uses the data collected by rather small antenna in the form of electromagnetic waves to image with high resolution imaging. This radar uses sending and receiving antennas or microwave pulses while moving forward as an advantage which resembles to the large antennas. In more simple terms, such forms of sending and receiving data by small antenna resemble to data which have been sent and received by an antenna during flight. To produce image from raw data four algorithms have been developed so far. Among these algorithms Chirp scaling with excellent power of the focusing on the target (higher resolution), optimized processing, and simple implementation has been cared for. The aim of this paper is to implement Chirp scaling algorithm using the Fast Fourier Transform in order to increase processing speed and to produce high-resolution images. The simulation result indicate that this proposed scheme is more accurate than other implementation.
利用快速傅立叶变换实现啁啾缩放算法
合成孔径雷达利用相当小的天线以电磁波的形式采集数据,进行高分辨率成像。这种雷达利用发射和接收天线或微波脉冲,同时向前移动作为一个优势,类似于大型天线。更简单地说,这种由小型天线发送和接收数据的形式类似于在飞行中由天线发送和接收的数据。为了从原始数据中生成图像,目前已经开发了四种算法。在这些算法中,啁啾缩放具有优异的目标聚焦能力(更高的分辨率),优化的处理和简单的实现受到了关注。本文的目的是利用快速傅立叶变换实现啁啾缩放算法,以提高处理速度并产生高分辨率图像。仿真结果表明,该方案比其他方案具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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