A Radar Power Allocation Algorithm to Track Stably for a Long Track

被引：0
|
作者：
Wang Y. [1 ]
Yi W. [1 ]
Kong L. [1 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2022年 / 51卷 / 06期
关键词：
Distributed radar networks; Power allocation; Track stably; Uncertain measurement;
D O I：
10.12178/1001-0548.2022179
中图分类号：
学科分类号：
摘要：
In the tracking task of distributed radar networks, low signal-to-noise ratio will lead to detection probability of the target less than 1, which may lead to the interruption of target track. This paper proposes a power allocation algorithm for distributed radar networks to track stably for a long track. The track continuity and the tracking performance of the system are both guaranteed by optimizing the power allocation for radar nodes. First, signal and measurement models of distributed radar are established. Then, the Bayesian Cramér-Rao lower bound (BCRLB) under uncertainty measurements is derived, and a mathematical model of the power allocation problem is established. To efficiently solve the optimization problem which contains complex non-convex constraints, a self-constrained power allocation (SCPA) algorithm based on convex optimization is proposed. The simulation results show that the proposed SCPA algorithm can ensure that all target tracks are not interrupted in the whole tracking process, while keeping good tracking performance. © 2022, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
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页码：841 / 846
页数：5
相关论文
共 14 条
  • [1] FISHLER E, HAIMOVICH A, BLUM R S, Et al., Spatial diversity in radars-models and detection performance, IEEE Transactions on Signal Processing, 54, 3, pp. 823-838, (2006)
  • [2] FISHLER E, HAIMOVICH A, BLUM R S, Et al., Performance of MIMO radar systems: Advantages of angular diversity, Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers, pp. 305-309, (2004)
  • [3] HAIMOVICH A M, BLUM R S, CIMINI L J., MIMO radar with widely separated antennas, IEEE Signal Processing Magazine, 25, 1, pp. 116-129, (2007)
  • [4] GODRICH H, PETROPULU A P, POOR H V., Power allocation strategies for target localization in distributed multiple-radar architectures, IEEE Transactions on Signal Processing, 59, 7, pp. 3226-3240, (2011)
  • [5] XIE M C, YI W, KIRUBARAJAN T, Et al., Joint node selection and power allocation strategy for multitarget tracking in decentralized radar networks, IEEE Transactions on Signal Processing, 66, 3, pp. 729-743, (2017)
  • [6] YI W, YUAN Y, HOSEINNEZHAD R, Et al., Resource scheduling for distributed multi-target tracking in netted colocated MIMO radar systems, IEEE Transactions on Signal Processing, 68, pp. 1602-1617, (2020)
  • [7] YAN J K, JIU B, LIU H W, Et al., Prior knowledge-based simultaneous multibeam power allocation algorithm for cognitive multiple targets tracking in clutter, IEEE Transactions on Signal Processing, 63, 2, pp. 512-527, (2014)
  • [8] FARINA A, RISTIC B, TIMMONERI L., Cramér-Rao bound for nonlinear filtering with Pd<1 and its application to target tracking, IEEE Transactions on Signal Processing, 50, 8, pp. 1916-1924, (2002)
  • [9] WANG Y, ZHOU T, YI W, Et al., A GDOP-based performance description of TOA localization with uncertain measurements, Remote Sensing, 14, 4, (2022)
  • [10] YAN J K, PU W Q, ZHOU S H, Et al., Collaborative detection and power allocation framework for target tracking in multiple radar system, Information Fusion, 55, pp. 173-183, (2020)
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