基于雜波的收發(fā)分置MIMO雷達(dá)陣列位置誤差聯(lián)合校正方法
doi: 10.11999/JEIT150347 cstr: 32379.14.JEIT150347
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1.
(西安電子科技大學(xué)雷達(dá)信號(hào)處理國(guó)家重點(diǎn)實(shí)驗(yàn)室 西安 710071) ②(美國(guó)特拉華大學(xué)電子與計(jì)算機(jī)工程學(xué)院 紐華克 19716)
國(guó)家自然科學(xué)基金(61271291, 61201285)和中央高?;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金
Joint Transmit and Receive Array Position Error Calibration for Bistatic MIMO Radar Based on Clutter
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1.
(National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China)
The National Natural Science Foundation of China (61271291, 61201285)
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摘要: 針對(duì)收發(fā)分置多輸入多輸出(MIMO)雷達(dá)發(fā)射端和接收端均存在位置誤差的問(wèn)題,該文提出一種基于雜波回波的收發(fā)陣列位置誤差聯(lián)合校正方法。該方法以最小化雜波回波數(shù)據(jù)的重構(gòu)均方誤差為準(zhǔn)則,在雜波散射系數(shù)l1范數(shù)稀疏約束下,利用雙迭代與凸優(yōu)化方法對(duì)雜波散射系數(shù)和陣列位置誤差參數(shù)進(jìn)行聯(lián)合優(yōu)化求解,最終完成了對(duì)收發(fā)陣列位置誤差的同時(shí)估計(jì)與校正。仿真實(shí)驗(yàn)表明了所提算法的有效性。
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關(guān)鍵詞:
- MIMO雷達(dá) /
- 位置誤差 /
- 參數(shù)估計(jì) /
- 稀疏重構(gòu)
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.-
Key words:
- MIMO radar /
- Position error /
- Parameter estimation /
- Sparse reconstruction
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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. 蘇洪濤, 張守宏, 保錚. 發(fā)射陣列互耦及幅相誤差校正[J]. 電子與信息學(xué)報(bào), 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. 吳夢(mèng), 劉宏偉, 王旭. 一種循環(huán)迭代的MIMO雷達(dá)發(fā)射方向圖設(shè)計(jì)方法[J]. 電子與信息學(xué)報(bào), 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, 糾博, 劉宏偉, 等. 一種基于先驗(yàn)信息的MIMO雷達(dá)發(fā)射方向圖設(shè)計(jì)方法[J]. 電子與信息學(xué)報(bào), 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. -
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