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Volume 33 Issue 12
Jan.  2012
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Zhang Shun, Gao Tie-Gang. Encryption Based on DNA Coding, Codon Grouping and Substitution[J]. Journal of Electronics & Information Technology, 2015, 37(1): 150-157. doi: 10.11999/JEIT140091
Citation: Zheng Zhi-Dong, Zhang Jian-Yun, Yang Ying. Joint DOD-DOA Estimation of MIMO Radar Based on Transmit Beamspace-PARAFAC[J]. Journal of Electronics & Information Technology, 2011, 33(12): 2875-2880. doi: 10.3724/SP.J.1146.2011.00440

Joint DOD-DOA Estimation of MIMO Radar Based on Transmit Beamspace-PARAFAC

doi: 10.3724/SP.J.1146.2011.00440
  • Received Date: 2011-05-12
  • Rev Recd Date: 2011-09-02
  • Publish Date: 2011-12-19
  • A new algorithm to jointly estimate the DOD-DOA of bistatic MIMO radar is proposed based on transmit beamspace-parallel factor. For the problem of the power being transmitted dispersedly in traditional MIMO radar, the optimizing criterion for designing beam weight matrix is proposed combining the focus range of the transmit power with the desired transmitting steering vector. This constrained optimizing formula can be reformed to a standard Second Order Cone Programming (SOCP) fashion and be solved with interior-point method. Furthermore, the DODs and DOAs of target are estimated by using the PARAllel FACtor (PARAFAC) algorithm. The simulation results illustrate that: the beam weight matrix which can be designed off-line makes the transmitting power focus within the spatial sector of interesting targets. And the distribution of the transmitting power in that spatial sector is approximately uniform. Therefore, when the same angle estimation algorithm and the same transmit power are utilized, the transmit beamspace-based MIMO radar can perform better angular accuracy than the traditional MIMO radar.
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