Paper Info
Title
Simultaneous Multibeam Resource Allocation Scheme for Multiple Target Tracking
Abstract
A colocated multiple-input multiple-output (MIMO) radar system has the ability to address multiple beam information. However, the simultaneous multibeam working mode has two finite working resources: the number of beams and the total transmit power of the multiple beams. In this scenario, a resource allocation strategy for the multibeam working mode with the task of tracking multiple targets is developed in this paper. The basis of our technique is to adjust the number of beams and their directions and the transmit power of each beam through feedback, with the purpose of improving the worst tracking performance among the multiple targets. The Bayesian Cramér-Rao lower bound (BCRLB) provides us with a lower bound on the estimated mean square error (MSE) of the target state. Hence, it is derived and utilized as an optimization criterion for the resource allocation scheme. We prove that the resulting resource optimization problem is nonconvex but can be reformulated as a set of convex problems. Therefore, optimal solutions can be obtained easily, which greatly aids real-time resource management. Numerical results show that the worst case tracking accuracy can be efficiently improved by the proposed simultaneous multibeam resource allocation (SMRA) algorithm.
Year
DOI
Venue
2015
10.1109/TSP.2015.2417504
IEEE Trans. Signal Processing
Keywords
Field
DocType
BCRLB, colocated MIMO, convex optimization, multiple targets, simultaneous multibeam resource allocation (SMRA)
Resource management,Mathematical optimization,Transmitter power output,Radar tracker,Upper and lower bounds,Control theory,MIMO,Mean squared error,Resource allocation,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
PP
99
1053-587X
Citations 
PageRank 
References 
17
0.82
11
Authors
6
Name
Order
Citations
PageRank
Junkun Yan17911.13
Hongwei Liu221719.48
Bo Jiu37110.88
Bo Chen430434.22
zheng liu526721.86
Zheng Bao61985155.03