This paper proposes a joint path planning and transmit resource scheduling (JPP-TRS) algorithm for target tracking in airborne radar networks. The aim of our algorithm is to achieve the better target tracking accuracy by cooperatively adjusting the path planning, transmit power, dwell time, waveform bandwidth, and pulse length of each airborne radar, while satisfying the predefined low probability of intercept (LPI) performance requirement and given system resource budgets. The Bayesian Cramér-Rao lower bound (BCRLB) and probability of intercept of the underlying system are derived and utilized to gauge the target tracking accuracy and LPI performance, respectively. Since the JPP-TRS problem is a non-convex and non-linear optimization model, we put forward a fast and efficient three-step solution method to tackle the above problem. Numerical results are provided to verify the superior performance of our proposed algorithm compared with other existing schemes.
Joint Path Planning and Transmit Resource Scheduling Algorithm for Target Tracking in Airborne Radar Networks
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Chapter : 32 ; 322-330
2022-03-18
9 pages
Article/Chapter (Book)
Electronic Resource
English
Path planning , Transmit resource scheduling , Target tracking , Airborne radar networks , Bayesian Cramér-Rao Lower Bound (BCRLB) , Low Probability of Intercept (LPI) Engineering , Control, Robotics, Mechatronics , Computational Intelligence , Communications Engineering, Networks , Artificial Intelligence
British Library Conference Proceedings | 2022
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