FMCW CSAR快速循环卷积成像算法

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2019-01-01 DOI:10.1109/ICEICT.2019.8846301

Depeng Song, Binbing Li, Y. Qu, Yijun Chen

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引用次数: 0

摘要

调频连续波圆形合成孔径雷达(FMCW CSAR)是一种高分辨率成像雷达，在目标识别中一直发挥着重要作用。然而，基于FMCW CSAR的波数域成像算法效率较低。为此，本文提出了一种快速的循环卷积算法。该方法利用卷积表示散射，利用傅里叶变换计算卷积，避免了系统核函数的复杂计算，提高了目标位于场景中心时的成像效率。仿真结果表明了该方法的有效性。

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A Fast Circular Convolution Imaging Algorithm for FMCW CSAR

The frequency modulated continuous wave circular synthetic aperture radar (FMCW CSAR) is a high resolution imaging radar, which has always played an important role in target recognition. However, the wave number domain imaging algorithm based on FMCW CSAR has a low efficiency. Therefore, a fast circular convolution algorithm is proposed in this paper. With the method, the convolution is applied to express the scattering and the Fourier transform is used to calculate the convolution, which can avoid the complex calculation of the system kernel function and improve the imaging efficiency when the target is located in the center of the scene. Some simulation results illustrate the effectiveness of the proposed method.

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来源期刊

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)

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