JOURNAL ARTICLE

Joint Radar Node Scheduling and Resource Assignment in Radar Network for Multi-Target Tracking Under Spectrum Coexistence

Abstract

This paper proposes a joint radar node scheduling and resource assignment (JRNSRA) strategy in radar network for multi-target tracking under spectrum coexistence. The main purpose of this strategy is to minimize the multi-target tracking error under several transmit resource budgets of radar network. The expression of the predicted Bayesian Cramer-Rao lower bound (BCRLB) is derived and used to measure the target tracking performance. Since the JRNSRA strategy is a non-convex optimization problem, we propose a two-step solution algorithm to solve the resulting problem. Simulation results show that the JRNSRA strategy can achieve lower multi-target tracking error compared with other strategies under the same spectrum coexistence environment.

Keywords:
Computer science Radar Scheduling (production processes) Radar tracker Real-time computing Convex optimization Tracking error Tracking (education) Mathematical optimization Algorithm Regular polygon Artificial intelligence Mathematics Telecommunications

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Topics

Radar Systems and Signal Processing
Physical Sciences →  Engineering →  Aerospace Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Distributed Sensor Networks and Detection Algorithms
Physical Sciences →  Computer Science →  Computer Networks and Communications
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