機載多通道SAR運動目標方位向速度和法向速度聯合估計算法

姜文; 牛杰; 吳一戎; 梁興東

doi:10.11999/JEIT190672

機載多通道SAR運動目標方位向速度和法向速度聯合估計算法

doi: 10.11999/JEIT190672 cstr: 32379.14.JEIT190672

姜文^{1, 2, 3, ,},
牛杰^{1, 2, 3},
吳一戎^{1, 2},
梁興東^{1, 2}

1.
中國科學院空天信息創(chuàng)新研究院北京 100094
2.
微波成像技術國家重點實驗室北京 100190
3.
中國科學院大學北京 100049

詳細信息

作者簡介:
姜文：男，1990年生，博士生，研究方向為機載多通道SAR地面動目標參數估計

牛杰：男，1993年生，博士生，研究方向為新體制SAR海面紋理增強

吳一戎：男，1963年生，中國科學院院士，研究方向為微波成像理論、微波成像技術、雷達信號處理等

梁興東：男，1973年生，研究員，研究方向為高分辨率SAR系統(tǒng)、干涉SAR系統(tǒng)、成像處理及應用、實時數字信號處理等

通訊作者:
姜文　jiangwen13@mails.ucas.ac.cn

中圖分類號: TN957.52
計量
- 文章訪問數: 2808
- HTML全文瀏覽量: 1111
- PDF下載量: 115
- 被引次數: 0
出版歷程
- 收稿日期: 2019-09-02
- 修回日期: 2020-02-14
- 網絡出版日期: 2020-03-04
- 刊出日期: 2020-06-22

Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR

Wen JIANG^{1, 2, 3
, ,},
Jie NIU^{1, 2, 3},
Yirong WU^{1, 2},
Xingdong LIANG^{1, 2}

1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.
National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China

摘要

摘要:
對運動目標進行SAR成像時，參數估計是必不可少的?，F有算法主要針對運動目標的徑向速度和方位向速度進行估計，而對3維運動目標的法向速度無法估計。該文利用L型基線的機載多通道SAR系統(tǒng)，提出一種方位向速度和法向速度的聯合估計算法。該算法在距離-多普勒域提取運動目標信號，并利用多幅SAR圖像之間的相位差進行方位向速度和法向速度的聯合估計。該算法不依賴圖像配準，不需要解多普勒模糊，因此具有較高的估計精度和魯棒性，有較強的實際意義和應用價值。
- 機載多通道SAR /
- 運動目標檢測 /
- 方位向速度 /
- 法向速度 /
- 速度估計
Abstract:
Parameter estimation is essential for SAR imaging of moving targets. The existing algorithms mainly estimate the radial velocity and azimuth velocity of the moving target, but the normal velocity of the three-dimensional moving target can not be estimated. In this paper, a joint estimation algorithm of azimuth velocity and normal velocity is proposed by using an airborne multi-channel SAR system with L-shaped baseline. The algorithm extracts the moving target signal in Range-Doppler domain, and estimates the azimuth and normal velocity jointly using the phase differences between multiple SAR images. The algorithm does not rely on image registration, does not need to solve Doppler ambiguity. Therefore, the algorithm has high estimation accuracy and robustness, and has strong practical significance and application value.
- Airborne multi-channel SAR /
- Moving target detection /
- Azimuth velocity /
- Normal velocity /
- Velocity estimation

HTML全文

圖 1 機載SAR 3維運動目標成像模型

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圖 2 機載多通道SAR 3維運動目標成像模型

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圖 3 速度聯合估計算法處理流程

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圖 4 運動目標1的多普勒域相位差

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圖 5 運動目標2的多普勒域相位差

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圖 6 運動目標3的多普勒域相位差

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圖 7 運動目標聚焦前后的SAR圖像

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圖 8 運動目標方位向剖面圖

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表 1 SAR系統(tǒng)仿真基本參數

中心頻率	飛行速度	飛行高度	最近斜距	PRF	信噪比	多普勒帶寬	順軌基線	交軌基線
9.6 GHz	150 m/s	7500 m	20 km	2000	10 dB	500 Hz	1 m	1 m

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表 2 目標3維運動參數(m/s)

	徑向向速度	方位向速度	法向速度
運動目標1	0	10	10
運動目標2	0	10	0
運動目標3	0	0	10

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表 3 運動目標速度估計結果及誤差(m/s)

	理論方位向速度	理論法向速度	估計方位向速度	估計法向速度	方位向速度估計誤差	法向速度估計誤差
運動目標1	10.00	10.00	9.85	10.00	0.15	0
運動目標2	10.00	0	9.84	1.15×10^–15	0.16	1.15×10^–15
運動目標3	0	10.00	7.93×10^–2	9.90	7.93×10^–2	0.10

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表 4 SAR平臺部分參數

距離向采樣點數	PRF	天線間距	飛行速度	飛行高度	帶寬
16384	781	1 m	146 m/s	7544 m	300 MHz

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