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波束-多普勒酉ESPRIT多目標(biāo)DOA估計

文才,  吳建新,  王彤,  周延,  彭進(jìn)業(yè)

文才, 吳建新, 王彤, 周延, 彭進(jìn)業(yè). 波束-多普勒酉ESPRIT多目標(biāo)DOA估計[J]. 電子與信息學(xué)報, 2018, 40(5): 1136-1143. doi: 10.11999/JEIT170707
引用本文: 文才, 吳建新, 王彤, 周延, 彭進(jìn)業(yè). 波束-多普勒酉ESPRIT多目標(biāo)DOA估計[J]. 電子與信息學(xué)報, 2018, 40(5): 1136-1143. doi: 10.11999/JEIT170707
WEN Cai, WU Jianxin, WANG Tong, ZHOU Yan, PENG Jinye. Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1136-1143. doi: 10.11999/JEIT170707
Citation: WEN Cai, WU Jianxin, WANG Tong, ZHOU Yan, PENG Jinye. Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1136-1143. doi: 10.11999/JEIT170707

波束-多普勒酉ESPRIT多目標(biāo)DOA估計

doi: 10.11999/JEIT170707
基金項目: 

國家自然科學(xué)基金(61471285, 61371233)，陜西省教育廳科研計劃項目(17JK0789)

Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT

Funds: 

The National Natural Science Foundation of China (61471285, 61371233), The Scientific Research Plan of Education Department of Shanxi Province (17JK0789)

  • 摘要: 高分辨波達(dá)方向(DOA)估計是地基/空基預(yù)警雷達(dá)實現(xiàn)主波束內(nèi)多目標(biāo)精細(xì)跟蹤需要解決的關(guān)鍵問題。針對上述問題，該文提出一種波束-多普勒酉ESPRIT多目標(biāo)DOA估計算法。該方法首先通過時域平滑技術(shù)構(gòu)造多個快拍。然后采用中心共軛對稱傅里葉變換矩陣將數(shù)據(jù)變換至波束-多普勒域，同時保留旋轉(zhuǎn)不變結(jié)構(gòu)。最后采用實值ESPRIT算法估計目標(biāo)的DOA。所提方法充分利用了信號的時域信息來改善空域參數(shù)估計性能，同時具有較低的計算復(fù)雜度。實驗結(jié)果證明了所提方法的有效性。
    Abstract: High-resolution Direction Of Arrival (DOA) estimation is a critical issue for mainbeam multi-target tracking in ground-based or airborne early warning radar system. A Beam-Doppler Unitary ESPRIT (BD- UESPRIT) algorithm is proposed to deal with this problem. Firstly, multiple snapshots without spatial aperture loss are obtained using the technique of time-smoothing. Then the conjugate centrosymmetric Discrete Fourier Transform (DFT) matrix is used to transform the extracted data into beam-Doppler domain. Finally, the rotational invariance property of the space-time beam is exploited to estimate DOA. Since the proposed algorithm takes full advantage of temporal information and is implemented in low-dimensional beamspace, the DOA estimation accuracy can be improved greatly with dramatically reduced computational complexity. Numerical examples are given to verify the effectiveness of the proposed algorithm.
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出版歷程
  • 收稿日期:  2017-07-19
  • 修回日期:  2018-01-03
  • 刊出日期:  2018-05-19

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