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Volume 30 Issue 5
Dec.  2010
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Wu Yong, Tang Jun, Peng Ying-ning. On Clutter Degrees of Freedom of the Radar System[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1032-1036. doi: 10.3724/SP.J.1146.2007.00191
Citation: Wu Yong, Tang Jun, Peng Ying-ning. On Clutter Degrees of Freedom of the Radar System[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1032-1036. doi: 10.3724/SP.J.1146.2007.00191

On Clutter Degrees of Freedom of the Radar System

doi: 10.3724/SP.J.1146.2007.00191
  • Received Date: 2007-01-30
  • Rev Recd Date: 2007-09-11
  • Publish Date: 2008-05-19
  • To investigate the clutter mitigation performance in non-uniform, non-linear, or sparse array radar, the number of Degrees of Freedom (DoF) estimate theory for band-limited signal is employed to estimate the clutter DoF for these array geometries. The proposed method can effectively predict the number of significant clutter eigenvalues, and reveals the relationship between the clutter DoF and the system parameters as well as the clutter scenario. It is found that in sparse array radar, the system DoF should be increased to reduce the sparse sampling section so that the clutter mitigation performance in such systems can be improved. Finally, the effectiveness of the proposed estimate method is verified with simulation.
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  • Guerci J R, Goldstein J S, and Reed I S. Optimal andadaptive reduced-rank STAP[J].IEEE Trans. on Aerospace andElectronic Systems.2000, 36(2):647-663[2]王永良, 彭应宁. 空时自适应信号处理. 北京: 清华大学出版社, 2000: 126-128.Wang Yong-liang and Peng Ying-ning. Space-Time AdaptiveProcessing. Beijing: Tsinghua University Press, 2000:126-128.[3]Guerci J R. Space-Time Adaptive Processing for Radar.London: Artech house, 2003: 61-103.[4]Zatman M. Circular array STAP[J].IEEE Trans. on Aerospaceand Electronic Systems.2000, 36(2):510-517[5]Leatherwood D A and Melvin W L. Configuring a sparseaperture antenna for spaceborne MTI radar. Proceedings ofIEEE Radar Conference 2003, Alabama, USA, May 2003:130-146.[6]Goodman N A and Stiles J M. Resolution and syntheticaperture characterization of sparse radar arrays[J].IEEE Trans.on Aerospace and Electronic Systems.2003, 39(3):921-935[7]Fertig L B. Estimation of space-time clutter rank forsubarrayed data. Conference Record of the Thirty-EighthAsilomar Conference on Signals, Systems and Computers,CA, USA, Nov. 2004: 289-292.[8]Slepian D and Pollak H O. Prolate spheroidal wave functions,Fourier analysis and uncertainty-I. Bell System TechnicalJournal, 1961, 40(1): 43-63.[9]Slepian D. Prolate spheroidal wave functions, Fourier analysisand uncertainty-V: the discrete case. Bell System TechnicalJournal, 1978, 57(5): 1371-1429.[10]Landau H J and Pollak H O. Prolate spheroidal wavefunctions, Fourier analysis and uncertainty-III: the dimensionof the space of essentially time- and band-limited signals. BellSystem Technical Journal, 1964, 41(7): 1295-1336.[11]Wu Yong, Tang Jun, and Peng Yingning. Clutter rank ofsparse linear array radar. Proceedings of 2006 CIEInternational Conference on Radar, Shanghai, China, Oct.2006: 1149-1152.[12]Wu Yong, Tang Jun, and Peng Yingning. Clutter rank ofmulti-dimensional sparse array radar. Proceedings of 2007IEEE Radar Conference, Waltham, USA, April 2007:463-468.
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