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基于多幀數(shù)據(jù)聯(lián)合處理的機(jī)載單通道雷達(dá)貝葉斯前視成像

陳洪猛 李明 王澤玉 盧云龍 張鵬 左磊

陳洪猛, 李明, 王澤玉, 盧云龍, 張鵬, 左磊. 基于多幀數(shù)據(jù)聯(lián)合處理的機(jī)載單通道雷達(dá)貝葉斯前視成像[J]. 電子與信息學(xué)報, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153
引用本文: 陳洪猛, 李明, 王澤玉, 盧云龍, 張鵬, 左磊. 基于多幀數(shù)據(jù)聯(lián)合處理的機(jī)載單通道雷達(dá)貝葉斯前視成像[J]. 電子與信息學(xué)報, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153
Chen Hong-meng, Li Ming, Wang Ze-Yu, Lu Yun-long, Zhang Peng, Zuo Lei. Bayesian Forward-looking Imaging for Airborne Single-channel Radar Based on Combined Multiple Frames Data[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153
Citation: Chen Hong-meng, Li Ming, Wang Ze-Yu, Lu Yun-long, Zhang Peng, Zuo Lei. Bayesian Forward-looking Imaging for Airborne Single-channel Radar Based on Combined Multiple Frames Data[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2328-2334. doi: 10.11999/JEIT150153

基于多幀數(shù)據(jù)聯(lián)合處理的機(jī)載單通道雷達(dá)貝葉斯前視成像

doi: 10.11999/JEIT150153
基金項目: 

國家自然科學(xué)基金(61271297, 61272281, 61301284)和博士學(xué)科點科研專項基金(20110203110001)資助課題

Bayesian Forward-looking Imaging for Airborne Single-channel Radar Based on Combined Multiple Frames Data

Funds: 

The National Natural Science Foundation of China (61271297, 61272281, 61301284)

  • 摘要: 針對機(jī)載單通道雷達(dá)前視分辨率不高的問題,該文提出一種基于多幀數(shù)據(jù)聯(lián)合處理的貝葉斯前視成像方法。該文首先建立高斯背景下的前視回波信號模型,然后將散射場景的處理空間由單幀波束域的低維空間擴(kuò)展到多幀波束域聯(lián)合而成的高維空間以增加其空域稀疏性,并對散射場景的稀疏性進(jìn)行統(tǒng)計建模。最后基于貝葉斯理論,將前視條件下的雷達(dá)成像轉(zhuǎn)化為貝葉斯準(zhǔn)則下的優(yōu)化問題,并通過共軛梯度算法進(jìn)行優(yōu)化求解。在優(yōu)化求解時,稀疏統(tǒng)計參數(shù)從數(shù)據(jù)迭代過程中估計得到。仿真結(jié)果和實測數(shù)據(jù)表明該方法不僅可以對前視場景進(jìn)行高分辨成像,還可以抑制虛假散射點。
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出版歷程
  • 收稿日期:  2015-01-27
  • 修回日期:  2015-04-20
  • 刊出日期:  2015-10-19

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