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一种用于固定发射机的机动双基地前视SAR成像的改进RD算法。

An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter.

作者信息

Yuan Yue, Chen Si, Zhao Huichang

机构信息

School of Electronic & Optical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China.

出版信息

Sensors (Basel). 2017 May 19;17(5):1152. doi: 10.3390/s17051152.

DOI:10.3390/s17051152
PMID:28534809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5470898/
Abstract

In order to improve the azimuth resolution beyond what monostatic synthetic aperture radar (SAR) can achieve in the forward-looking area, an asymmetric configuration bistatic SAR system and its imaging algorithm are proposed in this paper. The transmitter is mounted on a fixed platform in side-looking mode while the receiver moves along a nonlinear trajectory in forward-looking mode. Due to the high velocity and acceleration of the maneuvering platform in both along-track and height direction, the traditional algorithms are no longer applicable. In this paper, a new algorithm based on the high precise 2-D frequency spectrum is proposed, which takes high-order Taylor series expansion terms of the slant range into consideration. The proposed algorithm compensates high-order range-azimuth coupling terms to guarantee the focus accuracy in SAR imaging. The simulation results and error analysis validate the effectiveness of the proposed algorithm and the correctness of our analysis.

摘要

为了提高方位分辨率,使其超出单基地合成孔径雷达(SAR)在前视区域所能达到的水平,本文提出了一种非对称配置的双基地SAR系统及其成像算法。发射机以侧视模式安装在固定平台上,而接收机在前视模式下沿非线性轨迹移动。由于机动平台在方位向和高度方向上具有较高的速度和加速度,传统算法不再适用。本文提出了一种基于高精度二维频谱的新算法,该算法考虑了斜距的高阶泰勒级数展开项。所提算法补偿了高阶距离-方位耦合项,以保证SAR成像的聚焦精度。仿真结果和误差分析验证了所提算法的有效性以及我们分析的正确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/cf75ea907fbc/sensors-17-01152-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/8d67ec7271fc/sensors-17-01152-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/5981d077d90c/sensors-17-01152-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/ab4365a3041e/sensors-17-01152-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/cd251bbfd8a2/sensors-17-01152-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/aea4b12dabd0/sensors-17-01152-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/7902da8ece08/sensors-17-01152-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/1d36a5171b70/sensors-17-01152-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/4ca7a11307a6/sensors-17-01152-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/cf75ea907fbc/sensors-17-01152-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/8d67ec7271fc/sensors-17-01152-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/5981d077d90c/sensors-17-01152-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/ab4365a3041e/sensors-17-01152-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/cd251bbfd8a2/sensors-17-01152-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/aea4b12dabd0/sensors-17-01152-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/7902da8ece08/sensors-17-01152-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/1d36a5171b70/sensors-17-01152-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/4ca7a11307a6/sensors-17-01152-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/058c/5470898/cf75ea907fbc/sensors-17-01152-g009.jpg

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本文引用的文献

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