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一種基于SAR稀疏采樣數(shù)據(jù)的動(dòng)目標(biāo)運(yùn)動(dòng)參數(shù)估計(jì)方法

陳一暢,  張群

陳一暢, 張群. 一種基于SAR稀疏采樣數(shù)據(jù)的動(dòng)目標(biāo)運(yùn)動(dòng)參數(shù)估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2016, 38(12): 3049-3055. doi: 10.11999/JEIT160922
引用本文: 陳一暢, 張群. 一種基于SAR稀疏采樣數(shù)據(jù)的動(dòng)目標(biāo)運(yùn)動(dòng)參數(shù)估計(jì)方法[J]. 電子與信息學(xué)報(bào), 2016, 38(12): 3049-3055. doi: 10.11999/JEIT160922
CHEN Yichang, ZHANG Qun. Parameter Estimation Method of Moving Targets with SAR Sparse Sampling Data[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3049-3055. doi: 10.11999/JEIT160922
Citation: CHEN Yichang, ZHANG Qun. Parameter Estimation Method of Moving Targets with SAR Sparse Sampling Data[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3049-3055. doi: 10.11999/JEIT160922

一種基于SAR稀疏采樣數(shù)據(jù)的動(dòng)目標(biāo)運(yùn)動(dòng)參數(shù)估計(jì)方法

doi: 10.11999/JEIT160922
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(61631019, 61471386)

Parameter Estimation Method of Moving Targets with SAR Sparse Sampling Data

Funds: 

The National Natural Science Foundation of China (61631019, 61471386)

  • 摘要: 該文針對(duì)地面動(dòng)目標(biāo)運(yùn)動(dòng)參數(shù)估計(jì)問(wèn)題進(jìn)行研究，提出一種利用單天線合成孔徑雷達(dá)(SAR)稀疏采樣數(shù)據(jù)的動(dòng)目標(biāo)2維速度估計(jì)方法。首先以目標(biāo)2維速度為參數(shù)構(gòu)建一個(gè)等效參數(shù)化模型將動(dòng)目標(biāo)回波數(shù)據(jù)轉(zhuǎn)化為小斜視回波數(shù)據(jù)，然后利用改進(jìn)的迭代閾值算法實(shí)現(xiàn)不同參數(shù)條件下的動(dòng)目標(biāo)2維成像，最后以成像結(jié)果的圖像熵值為優(yōu)化準(zhǔn)則對(duì)初始模型參數(shù)進(jìn)行搜索，從而獲得準(zhǔn)確的動(dòng)目標(biāo)運(yùn)動(dòng)參數(shù)。該方法以稀疏采樣數(shù)據(jù)為輸入，可以減少所需數(shù)據(jù)量，并且能夠有效避免多普勒模糊問(wèn)題，在較低信雜比條件下仍然能夠準(zhǔn)確估計(jì)出目標(biāo)運(yùn)動(dòng)參數(shù)。仿真實(shí)驗(yàn)結(jié)果驗(yàn)證了所提動(dòng)目標(biāo)參數(shù)估計(jì)方法的有效性。
    Abstract: To solve the problem of motion parameter estimation of ground moving target, a parameter estimation method of moving targets with sparse sampling data of single SAR sensor is proposed. First, based on the 2 dimensional velocity of moving targets, an equivalent parametric model is constructed to transform the moving target echo into squint SAR echo. Then, with different parameters the modified iterative thresholding algorithm is applied to achieving imagery of moving target. Finally, the motion parameters of targets are obtained by minimizing the image entropy. It is shown that, using the proposed method, the required echo sampling can be reduced, the Doppler ambiguity problem can be avoided and accurate velocity estimation can be obtained even in low signal-to-clutter ration scenarios. Simulation results verify the effectiveness of the proposed method.
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出版歷程
  • 收稿日期:  2016-09-12
  • 修回日期:  2016-11-11
  • 刊出日期:  2016-12-19

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