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基于三階多項式傅里葉變換的SAR地面加速運動目標(biāo)參數(shù)估計與成像

周輝,  趙鳳軍,  楊健

周輝, 趙鳳軍, 楊健. 基于三階多項式傅里葉變換的SAR地面加速運動目標(biāo)參數(shù)估計與成像[J]. 電子與信息學(xué)報, 2016, 38(4): 919-926. doi: 10.11999/JEIT150679
引用本文: 周輝, 趙鳳軍, 楊健. 基于三階多項式傅里葉變換的SAR地面加速運動目標(biāo)參數(shù)估計與成像[J]. 電子與信息學(xué)報, 2016, 38(4): 919-926. doi: 10.11999/JEIT150679
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

基于三階多項式傅里葉變換的SAR地面加速運動目標(biāo)參數(shù)估計與成像

doi: 10.11999/JEIT150679 cstr: 32379.14.JEIT150679
  • 2.

    (中國科學(xué)院電子學(xué)研究所 北京 100190) ②(中國科學(xué)院大學(xué) 北京 100049) ③(中國運載火箭技術(shù)研究院 北京 100076)

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

  • 2.

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

  • 摘要: 該文主要針對加速運動目標(biāo)的參數(shù)估計及成像問題，推導(dǎo)了加速度目標(biāo)的SAR回波頻譜，分析了回波相位三次項估計和補償對運動參數(shù)估計和SAR成像的必要性。提出一種利用Hough變換估計距離走動率和徑向速度、相位補償法校正距離徙動效應(yīng)，并基于三階多項式傅里葉變換(LPFT)對三次相位估計的新方法。利用Hough變換，在不明顯增加計算量的前提下，達(dá)到加速運動目標(biāo)的運動參數(shù)精確估計和精確聚焦成像的目的。最后通過仿真數(shù)據(jù)驗證了該算法的有效性。
    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.
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出版歷程
  • 收稿日期:  2015-06-04
  • 修回日期:  2015-10-09
  • 刊出日期:  2016-04-19

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