JOURNAL ARTICLE

Joint Node Selection and Space-Time Resource Allocation Strategy for Multiple Targets Tracking in Netted Radar System

Abstract

In this paper, a joint node selection and space-time resource allocation (JNSSTRA) strategy is proposed to address the resource management problem for multiple targets tracking (MTT) in the netted radar system (NRS). In order to minimize the total resource consumption of the NRS while guaranteeing predetermined tracking performance, a novel resource management optimization model is put forth, where the system resource consumption and the overall tracking performance of multiple targets are taken into consideration comprehensively. Based on the proposed model, the JNSSTRA algorithm for MTT in NRS is obtained. In the JNSSTRA algorithm, the system sampling period, the activated radar nodes of the NRS, and the transmit energy of each activated node can be adjusted adaptively. Finally, simulation results demonstrate the superiority of the proposed strategy to the space-only allocation and time-only allocation methods.

Keywords:
Resource allocation Computer science Node (physics) Resource management (computing) Radar Selection (genetic algorithm) Real-time computing Resource (disambiguation) Joint (building) Energy consumption Tracking (education) Distributed computing Computer network Engineering Artificial intelligence Telecommunications

Metrics

5
Cited By
0.90
FWCI (Field Weighted Citation Impact)
7
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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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