Joint Transmit and Receive Array Position Error Calibration for Bistatic MIMO Radar Based on Clutter

Liu Yuan; Jiu Bo; Liu Hong-wei; Xia Xiang-gen

doi:10.11999/JEIT150347

Volume 37 Issue 12

Jan. 2016

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(12): 2956-2963

Liu Yuan, Jiu Bo, Liu Hong-wei, Xia Xiang-gen. Joint Transmit and Receive Array Position Error Calibration for Bistatic MIMO Radar Based on Clutter[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2956-2963. doi: 10.11999/JEIT150347

Citation:

Liu Yuan, Jiu Bo, Liu Hong-wei, Xia Xiang-gen. Joint Transmit and Receive Array Position Error Calibration for Bistatic MIMO Radar Based on Clutter[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2956-2963. doi: 10.11999/JEIT150347

Citation:

PDF( 759 KB)

Joint Transmit and Receive Array Position Error Calibration for Bistatic MIMO Radar Based on Clutter

doi: 10.11999/JEIT150347

1.
(National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China)
2.

Funds:

The National Natural Science Foundation of China (61271291, 61201285)

Received Date: 2015-03-24
Rev Recd Date: 2015-07-01
Publish Date: 2015-12-19

Abstract

Abstract

The issue of position error estimation for transmit and receive array of a bistatic Multiple-Input Multiple-Output (MIMO) radar is investigated, and an algorithm for the joint estimation based on clutter echo is proposed. The algorithm is based on the criterion of minimizing the reconstruction mean-square error of clutter echo under the restraint ofl1-norm of clutter coefficient. An alternately iterative and convex optimization algorithm is adopted to complete the estimation of clutter scattering coefficients and the position error of both transmit and receive arrays. The simulation results indicate the effectiveness of the proposed algorithm.
- MIMO radar,
- Position error,
- Parameter estimation,
- Sparse reconstruction

FullText(HTML)

References(21)

References

Li J and Stoica P. MIMO radar-diversity means superiority [C]. Proceedings IEEE 14th Annual Workshop on Adaptive Sensor Array Processing (invited), MIT Lincoln Laboratory, Lexington, 2006: 1-64.

Li J, Stoica P, Xu L, et al.. On parameter identifiability of MIMO radar[J]. IEEE Signal Processing Letters, 2007, 14(12): 968-971.

Hua G and Abeysekera S S. A comparison on DOA parameter identifiability for MIMO and phased-array radar[C]. IEEE International Conference on Information, Communications and Signal Processing (ICICS), Tainan, 2013: 10-13.

Babur G, Aubry P, and Le Chevalier F. Improved calibration technique for the transmit beamforming by a coherent MIMO radar with collocated antennas[C]. IEEE International Conference on General Assembly and Scientific Symposium (URSI GASS), Beijing, 2014: 16-23.

Kashin V A and Mavrychev E A. Robust DOA estimation in MIMO radar with transmitting uncertainties[C]. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruna, 2014: 22-25.

Guo Y D, Zhang Y S, and Tong N N. ESPRIT-like angle estimation for bastatic MIMO radar with gain and phase uncertainties[J]. IET Electronics Letters, 2011, 47(17): 996-997.

Friedlander B. Sensitivity analysis of the maximum likelihood direction-finding algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 1990, 26(6): 953-968.

苏洪涛, 张守宏, 保铮. 发射阵列互耦及幅相误差校正[J]. 电子与信息学报, 2006, 28(5): 941-944.

Su Hong-tao, Zhang Shou-hong, and Bao Zheng. Mutual coupling, gain and phase error calibration for transmitting array[J]. Journal of Electronics Information Technology, 2006, 28(5): 941-944.

吴梦, 刘宏伟, 王旭. 一种循环迭代的MIMO雷达发射方向图设计方法[J]. 电子与信息学报, 2015, 37(2): 322-327.

Wu Meng, Liu Hong-wei, and Wang Xu. A cyclic method for MIMO radar transmit beampattern design[J]. Journal of Electronics Information Technology, 2015, 37(2): 322-327.

王旭, 纠博, 刘宏伟, 等. 一种基于先验信息的MIMO雷达发射方向图设计方法[J]. 电子与信息学报, 2013, 35(12): 2802-2808.

Wang Xu, Jiu Bo, Liu Hong-wei, et al.. A Beampattern design method for MIMO radar based on a priori information[J]. Journal of Electronics Information Technology, 2013, 35(12): 2802-2808.

Ng B C and Ser W. Array shape calibration using sources in known locations[C]. Proceedings of Singapore ICCS/ ISITA92, Singapore, 1992: 836-840.

Boon C N and See C S. Sensor-array calibration using a maximum-likelihood approach[J]. IEEE Transactions on Antennas and Propagation, 1996, 44(6): 827-835.

Weiss A J and Friedlander B. Array shape calibration using sources in unknown locations-a maximun likelihood approach[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, New York, 1988: 11-14.

Li J F and Zhang X F. A method for joint angle and array gain-phase error estimation in bistatic multiple-input multiple-output non-linear arrays[J]. IET Signal Processing, 2014, 8(2): 131-137.

Li H B, Wei Q, Jiang J, et al.. Angle estimation and self-calibration for bistatic MIMO radar with mutual coupling of transmitting and receiving arrays[C]. IEEE Workshop on Electronics, Computer and Applications, Ottawa, 2014: 8-9.

Yu J and Krolik J. Adaptive phase-array calibration using MIMO radar clutter[C]. IEEE Radar Conference, Ottawa, 2013: 1-5.

Donoho D L, Elad M, and Temlyakov V N. Stable recovery of sparse overcomplete representations in the presence of niose[J]. IEEE Transactions on Information Theory, 2006, 52(1): 6-18.

Sajjadieh M H S and Asif A. Compressive sensing time reversal MIMO radar: joint direction and doppler frequency estimation[J]. IEEE Signal Processing Letters, 2015, 22(9): 1283-1287.

Relative Articles

Supplements(0)

Cited By

Proportional views