JOURNAL ARTICLE

Resource allocation for target tracking in distributed MIMO radar

Abstract

This paper proposes a joint scheme of sensor subset selection, optimal power and bandwidth allocation for range-only target tracking in multiple-input multiple-output radar sensor networks. First, The Bayesian Cramer-Rao Bound (BCRB) is first derived. Then, the resource allocation problem is aimed to minimize BCRB with the resource constraints. The relationship between the optimal solutions of the power and bandwidth is obtained firstly. Then we manage the sensors by using convex relaxation, and the approximate solutions of this joint optimization problem are found by cyclic minimization algorithm incorporated with SPCA algorithm. In numerical examples, it is shown that the proposed optimal joint resource allocation scheme provides superior performance for other strategies.

Keywords:
Resource allocation Mathematical optimization Computer science Bandwidth (computing) MIMO Radar Resource management (computing) Convex optimization Bandwidth allocation Relaxation (psychology) Radar tracker Optimization problem Minification Algorithm Regular polygon Mathematics Distributed computing Telecommunications Computer network

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.07
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

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