Efficient Positioning in MIMO Radars With Widely Separated Antennas

An algebraic closed-form solution for locating a moving target using a distributed multiple-input multiple-output radar system is proposed. The position and velocity of the target are estimated by presenting a two-stage weighted least squares algorithm. In contrast to existing research, the proposed estimator is shown analytically to be approximately unbiased and its variance is equal to the Cramer-Rao lower bound. Numerical simulations corroborate the theoretical studies and demonstrate the superiority of this algorithm over the existing methods.

[1]  P. Wei,et al.  An Explicit Solution for Target Localization in Noncoherent Distributed MIMO Radar Systems , 2014, IEEE Signal Processing Letters.

[2]  Mohammad Ali Sebt,et al.  Target Localization from Bistatic Range Measurements in Multi-Transmitter Multi-Receiver Passive Radar , 2015, IEEE Signal Processing Letters.

[3]  Baoqi Huang,et al.  TDOA-Based Source Localization With Distance-Dependent Noises , 2015, IEEE Transactions on Wireless Communications.

[4]  Mohammad Reza Taban,et al.  Target Localization using Least Squares Estimation for MIMO Radars with Widely Separated Antennas , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Farokh Marvasti,et al.  Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars , 2016, ICT Express.

[6]  Moe Z. Win,et al.  Energy-Efficient Network Navigation Algorithms , 2015, IEEE Journal on Selected Areas in Communications.

[7]  Joohwan Chun,et al.  An Improved Algebraic Solution for Moving Target Localization in Noncoherent MIMO Radar Systems , 2016, IEEE Transactions on Signal Processing.

[8]  Joon-Hyuk Chang,et al.  Closed-Form Localization for Distributed MIMO Radar Systems Using Time Delay Measurements , 2016, IEEE Transactions on Wireless Communications.

[9]  Andrew Chi-Sing Leung,et al.  Lagrange Programming Neural Network Approach for Target Localization in Distributed MIMO Radar , 2016, IEEE Transactions on Signal Processing.

[10]  K. C. Ho,et al.  An accurate algebraic solution for moving source location using TDOA and FDOA measurements , 2004, IEEE Transactions on Signal Processing.

[11]  L.J. Cimini,et al.  MIMO Radar with Widely Separated Antennas , 2008, IEEE Signal Processing Magazine.

[12]  Alexander M. Haimovich,et al.  Target Localization Accuracy Gain in MIMO Radar-Based Systems , 2008, IEEE Transactions on Information Theory.

[13]  Hing-Cheung So,et al.  Weighted least squares algorithm for target localization in distributed MIMO radar , 2015, Signal Process..

[14]  D. K. Barton,et al.  Handbook of radar measurement , 1969 .

[15]  H. Vincent Poor,et al.  Power Allocation Strategies for Target Localization in Distributed Multiple-Radar Architectures , 2011, IEEE Transactions on Signal Processing.

[16]  Moe Z. Win,et al.  Power Optimization for Network Localization , 2013, IEEE/ACM Transactions on Networking.

[17]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[18]  Jian Li,et al.  MIMO Radar with Colocated Antennas , 2007, IEEE Signal Processing Magazine.

[19]  Fereidoon Behnia,et al.  Asymptotically Efficient Target Localization From Bistatic Range Measurements in Distributed MIMO Radars , 2017, IEEE Signal Processing Letters.