Work

Multi-Sensor Task Assignment Using Linear Matrix Inequalities in the Multiple Target Tracking Problem

Year: 2018

Type: article

Abstract: Due to significant advancements in embedded systems, sensor devices and wireless communication technology, sensor networks have been attracting widespread attention in areas such as target tracking, monitoring, and surveillance. Technological advancements made it possible to deploy a large number of inexpensive but technically advanced sensors to cover wide areas. However, when a tracking system has to track a large number of targets, the computation and communication loads arise. In this paper we propose a task assignment algorithm based on linear matrix inequalities (LMI) to reduce the computational complexity and communication load. Simulation results and a comparison with the Kalman filtering strategy confirm the suitability of the approach.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2018.09.110

Authors: Victoria Erofeeva, Oleg Granichin, Olga Granichina

Institutions: Russian Academy of Sciences, St Petersburg University, Institute of Problems of Mechanical Engineering, Herzen University

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2896478089

FWCI: 0.363

Cites: 23

Cited by: 4

Related to: 10