SAR Accelerating Moving Target Parameter Estimation and Imaging Based on Three-order Polynomial Fourier Transform

ZHOU Hui; ZHAO Fengjun; YANG Jian

doi:10.11999/JEIT150679

Volume 38 Issue 4

Apr. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(4): 919-926

ZHOU Hui, ZHAO Fengjun, YANG Jian. SAR Accelerating Moving Target Parameter Estimation and Imaging Based on Three-order Polynomial Fourier Transform[J]. Journal of Electronics & Information Technology, 2016, 38(4): 919-926. doi: 10.11999/JEIT150679

Citation:

ZHOU Hui, ZHAO Fengjun, YANG Jian. SAR Accelerating Moving Target Parameter Estimation and Imaging Based on Three-order Polynomial Fourier Transform[J]. Journal of Electronics & Information Technology, 2016, 38(4): 919-926. doi: 10.11999/JEIT150679

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SAR Accelerating Moving Target Parameter Estimation and Imaging Based on Three-order Polynomial Fourier Transform

doi: 10.11999/JEIT150679

1.
2.
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)

Received Date: 2015-06-04
Rev Recd Date: 2015-10-09
Publish Date: 2016-04-19

Abstract

Abstract

This paper aims at the issue of accelerating moving target parameter estimation and imaging. The SAR echo spectrum of target with acceleration is calculated, and the necessity of estimation and compensation of the three-order moving target echo phase to imaging and movement parameter estimation is analyzed. Then, a Novel algorithm is proposed to estimate range cell migration rate and range velocity by Hough transform, compensate the range cell migration by phase compensation, and estimate the three-order phase using three-order Local Polynomial Fourier Transform (LPFT). Using the parameter estimated by Hough transform, the movement parameters can be precisely estimated and image well focused without increasing the calculation significantly. Simulated data processing results are provided to demonstrate the effectiveness of the proposed algorithm.
- SAR,
- Ground Moving Target Imaging　(GMTIm),
- Acceleration estimation,
- Three-order Local Polynomial Fourier Transform (LPFT),
- Hough transform

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References(29)

References

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