多站雷达功率分配自修正凸松弛算法

doi:10.3969/j.issn.1001-2400.2018.02.005

Abstract

Abstract:

To improve the radar performance under limited transmit energy, this paper improves a power allocation algorithm for the distributed multi-radar system. First, the Cramer-Rao Lower Bound (CRLB) of the target localization mean square error(MSE) of the distributed multi-radar system is given in this paper, and can be used as a suitable cost function to perform the power resource allocation. Then, in order to be close to the optimal solution, this paper improves the classical convex relaxation methods. We make full use of the limited resources multi-radar system to approximate the optimal result by the auto-correct convex-relaxation parameter to reduce the extra error caused by the convex relaxation process. Finally, simulation results prove that the proposed algorithm is effective.

FENG Hanzhe;YAN Junkun;LIU Hongwei. Auto-corrected convex relaxation algorithm for power allocation in multi-radar system used as target localization[J].Journal of Xidian University, 2018, 45(2): 26-30+140.

References

［1］ GODRICH H, HAIMOVICH A M, BLUM R S. Target Localization Accuracy Gain in MIMO Radar Based System［J］. IEEE Transactions on Information Theory, 2010, 56(6): 2783-2803.
［2］ FENG H Z, LIU H W, YAN J K, et al. A Fast Efficient Power Allocation Algorithm for Target Localization in Cognitive Distributed Multiple Radar Systems［J］. Signal Processing, 2016, 127: 100-116.
［3］ YAN J K, LIU H W, JIU B, et al. Simultaneous Multibeam Resource Allocation Scheme for Multiple Target Tracking［J］. IEEE Transactions on Signal Processing, 2015, 63(12): 3110-3122.
［4］ GODRICH H, PETROPULU A, POOR H V. Resource Allocation Schemes for Target Localization in Distributed Multiple Radar Architectures［C］//Proceedings of the 2010 European Signal Processing Conference. Poland: European Signal Processing Conference, 2010: 1239-1243.
［5］ GODRICH H, PETROPULU A P, POOR H V. Power Allocation Strategies for Target Localization in Distributed Multiple-radar Architectures［J］. IEEE Transactions on Signal Processing, 2011, 59(7): 3226-3240.
［6］严俊坤, 刘宏伟, 戴奉周, 等. 基于非线性机会约束规划的多基雷达系统稳健功率分配算法［J］. 电子与信息学报, 2014, 36(3): 509-515.
YAN Junkun, LIU Hongwei, DAI Fengzhou, et al. Nonlinear Chance Constrained Programming Based Robust Power Allocation Algorithm for Multistatic Radar Systems［J］. Journal of Electronics & Information Technology, 2014, 36(3): 509-515.
［7］房嘉奇, 冯大政, 李进. TDOA中的修正牛顿及泰勒级数方法［J］. 西安电子科技大学学报, 2016, 43(6): 27-33.
FANG Jiaqi, FENG Dazheng, LI Jin. Research on Modified Newton and Taylor-series MEthods in TDOA［J］. Journal of Xidian University, 2016, 43(6): 27-33.
［8］ SHI J N, JIU B, LIU H W, et al. Transmit Design for Airborne MIMO Radar Based on Prior Information［J］. Signal Processing, 2016, 128: 521-530.
［9］王海环, 王俊. 一种改进的多伯努利多目标跟踪算法［J］. 西安电子科技大学学报, 2016, 43(6): 176-182.
WANG Haihuan, WANG Jun. Multi-target Tracking with the Cubature Kalman Multi-bernoulli Filter［J］. Journal of Xidian University, 2016, 43(6): 176-182.
［10］ SHI J N, JIU B, LIU Y, et al. Fast Transmit Waveform Design Method for Interference Mitigation in Simultaneous Multibeam MIMO Scheme［J］. Electronics Letters, 2016, 52(13): 1166-1168.
［11］ STOICA P, SELéN Y. Cyclic Minimizers, Majorization Techniques, and the Expectation-maximization Algorithm: a Refresher［J］IEEE Signal Processing Magazine, 2004, 21(1): 112-114.
［12］ GODRICH H, PETROPULU A, POOR H V. A Combinatorial Optimization Framework for Subset Selection in Distributed Multiple-radar Architecture［C］//Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway: IEEE, 2011: 2796-2799.
［13］承德宝. 雷达原理［M］. 北京: 国防工业出版社, 2008.
［14］张贤达. 现代信号处理［M］. 北京: 清华大学出版社, 2015.
［15］肖海林, 王鹏, 聂在平, 等. 基于遗传算法的多基站协作通信功率分配方案［J］. 电子科技大学学报, 2014, 43(1): 26-30.
XIAO Hailin, WANG Peng, NIE Zaiping, et al. Power Allocation Scheme Based on Genetic Algorithm for Multi-base Station Cooperative Communication［J］. Journal of University of Electronic Science and Technology of China, 2014, 43(1): 26-30.
［16］ STEPHEN B, LIEVEN V. Convex Optimization［M］. Cambridge: Cambridge University Press, 2004.

Auto-corrected convex relaxation algorithm for power allocation in multi-radar system used as target localization

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