Abstract
This paper puts forward a cooperative node selection and resource allocation strategy for search and track applications in radar network. The strategy is proposed to minimize the total energy consumption for searching and multi-target tracking (MTT) tasks by optimizing radar node selection, dwell time and transmit power allocation of multiple radar nodes cooperatively, while satisfying the given search and track requirements and several system resource budgets. We utilize the detection probability as the metric for searching, and the predicted Bayesian Cramér-Rao lower bound (BCRLB) is derived as the criterion for MTT performance, which are both concerned as constraints in the optimization model. Subsequently, a two-step solution algorithm based on the interior point method and cyclic minimization framework is proposed to tackle the underlying optimization problem. Simulation results verify that the proposed strategy consumes the least energy while ensuring the specified search and track performance demands, when compared with other existing algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Pulkkinen, P., Aittomäki, T., Koivunen, V.: Reinforcement learning based transmitter-receiver selection for distributed MIMO radars. In: 2020 IEEE International Radar Conference, Washington, DC, USA, pp. 1040–1045 (2020)
Shi, C., Wang, Y., Salous, S., Zhou, J., Yan, J.: Joint transmit resource management and waveform selection strategy for target tracking in distributed phased array radar network. IEEE Trans. Aerosp. Electron. Syst. 58(4), 2762–2778 (2021). https://doi.org/10.1109/TAES.2021.3138869
Shi, C., Wang, Y., Wang, F., Salous, S., Zhou, J.: Joint optimization scheme for subcarrier selection and power allocation in multicarrier dual-function radar-communication system. IEEE Syst. J. 15(1), 947–958 (2021)
Li, X., Zhang, T., Yi, W., Kong, L., Yang, X.: Radar selection based on the measurement information and the measurement compensation for target tracking in radar network. IEEE Sens. J. 19(18), 7923–7935 (2019)
Shi, C., Ding, L., Wang, F., Salous, S., Zhou, J.: Low Probability of intercept-based collaborative power and bandwidth allocation strategy for multi-target tracking in distributed radar network system. IEEE Sens. J. 20(12), 6367–6377 (2020)
Shi, Y., Jiu, B., Yan, J., Liu, H.: Data-driven radar selection and power allocation method for target tracking in multiple radar system. IEEE Sens. J. 21(17), 19296–19306 (2021)
Zhang, H., Xie, J., Ge, J., Zhang, Z., Lu, W.: Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection. J. Syst. Eng. Electron. 31(02), 290–302 (2020)
Yan, J., Pu, W., Dai, J., Liu, H., Bao, Z.: Resource allocation for search and track application in phased array radar based on pareto bi-objective optimization. IEEE Trans. Veh. Technol. 68(4), 3487–3499 (2019)
Dale, R.: Billetter: Multifunction Array Radar. Artech House, Inc., Norwood (1989)
Shi, C., Ding, L., Qiu, W., Wang, F., Zhou, J.: Joint optimization of target assignment and resource allocation for multi-target tracking in phased array radar network. In: 2020 IEEE Radar Conference, Florence, Italy, pp. 1–5 (2020)
Yan, J., Dai, J., Pu, W., Liu, H., Greco, M.: Target capacity based resource optimization for multiple target tracking in radar network. IEEE Trans. Signal Process. 69, 2410–2421 (2021)
Xie, M., Yi, W., Kirubarajan, T., Kong, L.: Joint node selection and power allocation strategy for multitarget tracking in decentralized radar networks. IEEE Trans. Signal Process. 66(3), 729–743 (2018)
Acknowledgments
This work was supported by the Key Laboratory of Equipment Pre-Research Foundation under Grant 6142401200402.
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, Z., Shi, C., Salous, S., Wang, F., Zhou, J. (2023). Cooperative Node Selection and Resource Allocation for Search and Track Applications in Radar Network. 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_120
Download citation
DOI: https://doi.org/10.1007/978-981-99-0479-2_120
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)