Joint Optimization of Radar Assignment and Resource Allocation for Target Tracking in Phased Array Radar Network

This paper proposes a joint optimization strategy of radar assignment and resource allocation for target tracking in phased array radar network (PARN). The main purpose of the proposed strategy is to coordinate the radar assignment, transmit power, and dwell time of multiple radars to improve the ta...

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Published in:Proceedings of the IEEE Radar Conference pp. 2445 - 2447
Main Authors: Shi, Chenguang, Shi, Zhao, Salous, Sana, Zhou, JianJiang
Format: Conference Proceeding
Language:English
Published: IEEE 15.12.2021
Subjects:
Bayesian Cramér-Ran lower bound (BCRLB)
Benchmark testing
cyclic minimization algorithm
interior point method
Joint radar assignment and resource allocation
Minimization
Phased arrays
Radar
Radar tracking
Simulation
Target tracking
ISSN:2640-7736
Online Access:Get full text
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Abstract This paper proposes a joint optimization strategy of radar assignment and resource allocation for target tracking in phased array radar network (PARN). The main purpose of the proposed strategy is to coordinate the radar assignment, transmit power, and dwell time of multiple radars to improve the target tracking accuracy, subject to several transmit resource budgets. The analytical expression for the Bayesian Cramér-Rao lower bound (BCRLB) is derived and adopted as the objective function to quantify the target tracking performance. Subsequently, a fast and effective two-step solution algorithm, which incorporates the interior point method and cyclic minimization framework, is proposed to solve the resulting optimization problem. Simulation results are provided to demonstrate the effectiveness of the developed scheme.
AbstractList This paper proposes a joint optimization strategy of radar assignment and resource allocation for target tracking in phased array radar network (PARN). The main purpose of the proposed strategy is to coordinate the radar assignment, transmit power, and dwell time of multiple radars to improve the target tracking accuracy, subject to several transmit resource budgets. The analytical expression for the Bayesian Cramér-Rao lower bound (BCRLB) is derived and adopted as the objective function to quantify the target tracking performance. Subsequently, a fast and effective two-step solution algorithm, which incorporates the interior point method and cyclic minimization framework, is proposed to solve the resulting optimization problem. Simulation results are provided to demonstrate the effectiveness of the developed scheme.
Author Salous, Sana
Shi, Chenguang
Zhou, JianJiang
Shi, Zhao
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  givenname: Zhao
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  givenname: Sana
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  givenname: JianJiang
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  fullname: Zhou, JianJiang
  email: zjjee@nuaa.edu.cn
  organization: Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing Univ. Aeronaut. Astronaut.), Ministry of Education,Nanjing,China
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Snippet This paper proposes a joint optimization strategy of radar assignment and resource allocation for target tracking in phased array radar network (PARN). The...
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SubjectTerms Bayesian Cramér-Ran lower bound (BCRLB)
Benchmark testing
cyclic minimization algorithm
interior point method
Joint radar assignment and resource allocation
Minimization
Phased arrays
Radar
Radar tracking
Simulation
Target tracking
Title Joint Optimization of Radar Assignment and Resource Allocation for Target Tracking in Phased Array Radar Network
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