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運(yùn)動(dòng)目標(biāo)的時(shí)分極化測量研究

王濤,  王雪松,  肖順平

王濤, 王雪松, 肖順平. 運(yùn)動(dòng)目標(biāo)的時(shí)分極化測量研究[J]. 電子與信息學(xué)報(bào), 2006, 28(11): 1989-1993.
引用本文: 王濤, 王雪松, 肖順平. 運(yùn)動(dòng)目標(biāo)的時(shí)分極化測量研究[J]. 電子與信息學(xué)報(bào), 2006, 28(11): 1989-1993.
Wang Tao, Wang Xue-song, Xiao Shun-ping. Time Division Scattering Matrix Measurement of Moving Targets[J]. Journal of Electronics & Information Technology, 2006, 28(11): 1989-1993.
Citation: Wang Tao, Wang Xue-song, Xiao Shun-ping. Time Division Scattering Matrix Measurement of Moving Targets[J]. Journal of Electronics & Information Technology, 2006, 28(11): 1989-1993.

運(yùn)動(dòng)目標(biāo)的時(shí)分極化測量研究

Time Division Scattering Matrix Measurement of Moving Targets

  • 摘要: 運(yùn)動(dòng)目標(biāo)極化特性的測量是極化雷達(dá)探測與目標(biāo)識別等領(lǐng)域非常關(guān)心的基礎(chǔ)性問題。該文針對時(shí)分極化測量雷達(dá)，建立了動(dòng)目標(biāo)的瞬時(shí)極化測量模型。在深入分析目標(biāo)極化回波的基礎(chǔ)上，針對互易性目標(biāo)，提出了一種基于交叉極化分量相位對齊的散射矩陣校準(zhǔn)方法。研究結(jié)果表明在一定信噪比條件下，該測量和校準(zhǔn)方法可以有效地消除因目標(biāo)運(yùn)動(dòng)而導(dǎo)致的散射矩陣兩列元素去相關(guān)。
    Abstract: The topic of scattering matrix measurement of moving targets is very important in such fields as polarimetric radar and target recognition. In this paper, the problem of time division scattering matrix measurement of the reciprocal targets is discussed. A method of measuring and calibration based on aligning the phase of the cross-polarization of the scattering matrix is proposed. It is shown that the proposed measuring and calibration method can effectively eliminate the scattering matrix decorrelation caused by the target movement.
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  • Cameron W L, Leung L K. Feature motivated polarization scattering matrix decomposition. IEEE international radar conference, 1990: 549-557.[2]Foo B Y, Chaudhuri S K, Boerner W M. A high frequency inverse scattering model to recover the specular point curvatures from polarimetric scattering data. IEEE Trans. on AP, 1984, 32(11): 1174-1178.[3]Boerner W M, Yamaguchi Yoshio. A state-of-the-art review in radar polarimetry and its applications in remote sensing. IEEE AES Magazine, 1990: 3-6.[4]Cloude S R, Pottier E. A review of target decomposition theorems in radar polarimetry[J].IEEE Trans. on Geosci. Remote Sens.1996, 34(2):498-518[5]Unal M H, Ligthart L P. Decomposition theorems applied to random and stationary radar targets[J].Progress in electromagnetics research, PIER.1998, 18:45-66[6]Giuli D. Polarization diversity in radars[J].Proc. IEEE.1986, 74(2):245-269[7]Boerner W M, et al.. (eds.). Direct and Inverse Methods in Radar Polarimetry. Kluwer Academic Publishers, 1992.[8]莊釗文, 肖順平, 王雪松. 雷達(dá)極化信息處理及應(yīng)用. 北京：國防工業(yè)出版社，1999.[9]Giuli D, Fossi M. Radar target scattering matrix measurement through orthogonal signals. IEE Proc.-F, 1993, 140(4): 233-242.[10]王雪松. 寬帶極化信息處理的研究. [博士論文], 長沙：國防科技大學(xué), 1999.6.[11]Giuli D, Facheris L, Fossi M, Rossettini A. Simultaneous scattering matrix measurement through signal coding. Radar Conference, 1990, 258-262.[12]林茂庸, 柯有安. 雷達(dá)信號理論. 北京: 國防工業(yè)出版社, 1984.
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出版歷程
  • 收稿日期:  2005-04-07
  • 修回日期:  2005-08-22
  • 刊出日期:  2006-11-19

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