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Volume 34 Issue 11
Nov.  2012
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Zheng Gui-Mei, Yang Ming-Lei, Chen Bo-Xiao, Yang Rui-Xing. Joint DOD/DOA and Polarization Estimation for Interferometric MIMO Radar with Electromagnetic Vector Sensors[J]. Journal of Electronics & Information Technology, 2012, 34(11): 2635-2641. doi: 10.3724/SP.J.1146.2012.00407
Citation: Zheng Gui-Mei, Yang Ming-Lei, Chen Bo-Xiao, Yang Rui-Xing. Joint DOD/DOA and Polarization Estimation for Interferometric MIMO Radar with Electromagnetic Vector Sensors[J]. Journal of Electronics & Information Technology, 2012, 34(11): 2635-2641. doi: 10.3724/SP.J.1146.2012.00407

Joint DOD/DOA and Polarization Estimation for Interferometric MIMO Radar with Electromagnetic Vector Sensors

doi: 10.3724/SP.J.1146.2012.00407
  • Received Date: 2012-04-10
  • Rev Recd Date: 2012-07-16
  • Publish Date: 2012-11-19
  • Combination of the interferometric theory and MIMO radar with simplified vector sensors, a novel algorithm for joint Direction Of Departure (DOD), Direction Of Arrival (DOA) and polarization estimation in the interferometric MIMO radar with vector sensors is proposed. A short baseline and long baseline of the transmitting array are utilized to obtain high accuracy DOD estimation via the multiresolution ESPRIT. Similarly, the high accuracy DOA estimation can be obtained by utilizing the simplified vector sensor receive array. The polarization rotational invariant, which is irrespective of array geometry, is utilized to estimate the auxiliary polarization angle and polarization phase difference. Finally, the closed-form Cramr-Rao bound under the stochastic signal model is derived. The proposed system can obtain the waveform diversity offered by MIMO radar and the polarization diversity offered by vector sensor simultaneously. And it is capable of extending array aperture without increasing sensors and hardware costs, which can improve the angle estimation accuracy greatly. Moreover, the mutual coupling is decreased via using simplified vector sensor instead of traditional vector sensor, which makes the proposed system easier to implement. Simulation results verify the effectiveness of the proposed algorithm for multiple parameters estimation.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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