Abstract
This paper develops a joint radar selection and resource allocation (JRSRA) scheme for multi-target tracking application in multiple distributed phased array radar networks with non-ideal detection performance. The main aim of the JRSRA algorithm is to coordinate the radar node selection, transmit power and signal bandwidth allocation of the multiple radar networks, in order to minimize the total transmit power consumption in non-ideal detection environment under the constraints of the predefined target tracking performance requirement and several illumination resource budgets. The Bayesian Cramér-Rao lower bound (BCRLB) with non-ideal detection performance is adopted as the performance metric for multiple targets tracking. Since the adaptable variables, i.e., radar selection, transmit power, and signal bandwidth of each node, are coupled in both constraints and objective functions, the resulting problem is a mixed-integer programming, non-linear, and non-convex optimization model. To tackle the underlying problem, a fast and efficient four-step solution algorithm is proposed. Numerical simulations verify the superiority of the presented JRSRA scheme compared with other existing approaches.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Shi, C.G., Wang, Y.J., Salous, S., Zhou, J.J., Yan, J.K.: Joint transmit resource management and waveform selection strategy for target tracking in distributed phased array radar network. IEEE Trans. Aerosp. Electron. Syst. (2021). https://doi.org/10.1109/TAES.2021.3138869
Yan, J.K., Dai, J.H., Pu, W.Q., Liu, H.W., Greco, M.: Target capacity based resource optimization for multiple target tracking in radar network. IEEE Trans. Signal Process. 69, 2410–2421 (2021)
Sun, H., Li, M., Zuo, L., Zhang, P.: Joint radar scheduling and beampattern design for multitarget tracking in netted colocated MIMO radar systems. IEEE Signal Process. Lett. 24, 1863–1867 (2021)
Zhang, H.W., Liu, W.J., Zhang, Z.J., Lu, W.L., Xie, J.W.: Joint target assignment and power allocation in multiple distributed MIMO radar net-works. IEEE Syst. J. 15, 694–704 (2021)
Sun, J., Lu, X.J., Yuan, Y., Yang, X.B.: Resource allocation for multi-target tracking in multi-static radar systems with imperfect detection performance. In: 2020 IEEE Radar Conference (RadarConf20) (2020). https://doi.org/10.1109/RadarConf2043947.2020.9266340
Shi, C.G., Ding, L.T., Wang, F., Salous, S., Zhou, J.J.: Joint target assignment and resource optimization framework for multitarget tracking in phased array radar network. IEEE Syst. J. 15, 4379–4390 (2021)
Acknowledgement
This work was supported in part by the National Natural Science Foundation of China under Grant 61801212, in part by the Key Laboratory of Equipment Pre-Research Foundation under Grant 6142401200402, and in part by the National Aerospace Science Foundation of China under Grant 20200020052002.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Beijing HIWING Sci. and Tech. Info Inst
About this paper
Cite this paper
Shi, C., Shi, Z., Tang, Z., Chambers, J.A., Zhou, J. (2023). Joint Radar Selection and Resource Allocation for Multi-Target Tracking in Multiple Radar Networks with Non-ideal Detection Performance. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_8
Download citation
DOI: https://doi.org/10.1007/978-981-99-0479-2_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0478-5
Online ISBN: 978-981-99-0479-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)