基于兩步方位重采樣的中軌SAR聚焦方法

劉文康; 景國彬; 孫光才; 陳權(quán); 邢孟道

doi:10.11999/JEIT180238

基于兩步方位重采樣的中軌SAR聚焦方法

doi: 10.11999/JEIT180238 cstr: 32379.14.JEIT180238

劉文康^{1, 2, ,},
景國彬³,
孫光才^{1, 2},
陳權(quán)^{1, 2},
邢孟道^{1, 2}

1.
西安電子科技大學(xué)雷達信號處理國家重點實驗室 ??西安 ??710071
2.
西安電子科技大學(xué)信息感知技術(shù)協(xié)同創(chuàng)新中心 ??西安 ??710071
3.
上海衛(wèi)星工程研究所毫米波遙感技術(shù)實驗室 ??上海 ??201109

基金項目: 國家重點研發(fā)計劃(2017YFC1405600)，國家自然科學(xué)基金創(chuàng)新群體基金(61621005)，中央高?；緲I(yè)務(wù)費(JB180213)

詳細信息

作者簡介:
劉文康：男，1994年生，博士生，研究方向為合成孔徑雷達成像

景國彬：男，1990年生，博士，研究方向為合成孔徑雷達成像

孫光才：男，1984年生，副教授，研究方向為新體制雷達成像、運動目標檢測成像

陳權(quán)：男，1995年生，碩士生，研究方向為星載合成孔徑雷達成像

邢孟道：男，1975年生，教授，研究方向為雷達探測、雷達成像、運動目標檢測成像

通訊作者:
劉文康　wkliu@xidian.edu.cn

中圖分類號: TN957.52
計量
- 文章訪問數(shù): 2186
- HTML全文瀏覽量: 478
- PDF下載量: 76
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-03-14
- 修回日期: 2018-09-19
- 網(wǎng)絡(luò)出版日期: 2018-10-08
- 刊出日期: 2019-01-01

Medium-earth-orbit SAR Data Focusing Method Based on Two-step Azimuth Resampling

Wenkang LIU^{1, 2
, ,},
Guobin JING³,
Guangcai SUN^{1, 2},
Quan CHEN^{1, 2},
Mengdao XING^{1, 2}

1.
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China
3.
Milimeter Wave Imaging Technology Laboratory, Shanghai Institute of Satellite Engineering, Shanghai 201109, China

Funds: The National Key R&D Program of China (2017YFC1405600), The Foundation for Innovotive Research Groups of the National Natural Science Foundation of China (61621005), The Fundamental Research Funds for the Central Universities (JB180213)

摘要

摘要:
中軌軌道顯著的彎曲特性導(dǎo)致中軌SAR信號存在2維空變，因此大場景成像對于中軌SAR仍然是個難題。該文使用參數(shù)2維空變的4階多項式模型對信號進行建模。同時提出一種基于兩步方位插值的信號方位空變校正方法，通過方位時域重采樣可以校正參考距離上不同方位目標點的多普勒調(diào)頻率的線性和2次空變，距離向利用CS/RMA算法即可校正場景中所有點目標的距離徙動，而第2步多普勒重采樣則能夠校正剩余的多普勒參數(shù)的空變特性，包括剩余的距離方位耦合空變，以及高階多普勒參數(shù)空變。通過兩步插值法能夠完全校正整個場景目標信號的方位空變特性，使得傳統(tǒng)頻域成像算法可以應(yīng)用于中軌SAR的大場景聚焦。最后通過所提方法與參考方法的仿真結(jié)果對比，驗證了所提方法的有效性。
- 中軌SAR /
- 空變 /
- 兩步重采樣
Abstract:
The obvious orbit curvature of Medium Earth Orbit (MEO) results in severe two-dimensional space variance in the received signals. Thus, the focusing of MEO SAR data is still a problem to be solved. Fourth-order polynomial is used to model the range history. Also, an azimuth two-step resampling method is proposed to address the azimuth variance. The azimuth resampling in the time domain can adjust the azimuth chirp rate to be the same, then CS/RMA algorithm can be used to handle the space variance of the RCM. The second-step azimuth resampling can correct the left space variance of the Doppler parameters, including range-azimuth coupled space variance of the azimuth chirp rate, and the higher-order focusing parameters. The proposed method can well address the azimuth space variance of the whole scene, make the conventional frequency-domain focusing algorithms applicable to large scene focusing. Finally, the comparison results obtained by the proposed method and the reference method, validate the effectiveness of the proposed method.
- Medium Earth Orbit (MEO) SAR /
- Space variance /
- Two-step resampling

HTML全文

圖 1 基于兩步方位重采樣的中軌SAR成像處理流程圖

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圖 2 調(diào)頻率方位空變校正

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圖 3 多普勒域重采樣校正多普勒參數(shù)空變示意圖

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圖 4 斜距模型誤差分析

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圖 5 仿真場景中點目標布置

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圖 6 點C, E有無各步驟的處理結(jié)果對比

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圖 7 緯度幅角為180°時的成像仿真結(jié)果

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表 1 仿真參數(shù)

參數(shù)類型	參數(shù)名稱	數(shù)值
軌道參數(shù)	軌道高度(km)	15000
	離心率	0
	傾角(°)	90
	近地點幅角(°)	0
雷達參數(shù)	頻率(GHz)	5.4
	帶寬(MHz)	103.4
	PRF(Hz)	4000
	入射角(°)	40
	合成孔徑時間(s)	43.1
	地表距離分辨率(m)	2
	地表方位分辨率(m)	2
場景參數(shù)	場景方位寬度(km)	100
場景參數(shù)	場景距離寬度(km)	100

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表 2 成像質(zhì)量評估(dB)

目標(行，列)	PSLR		ISLR
目標(行，列)	距離向	方位向	距離向	方位向
D(11,1)	–13.27	–13.27	–10.06	–10.06
B(6,6)	–13.24	–13.26	–10.04	–10.06
E(1,11)	–13.27	–13.27	–10.06	–10.05

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