Joint Placement of Transmitters and Receivers for Distributed MIMO Radars

Geometry configuration is crucial to the system performance in distributed multiple-input-multiple-output (MIMO) radars. Sensor placement in distributed MIMO radars is different from the conventional sensor placement problem as transmitters and receivers need to cooperate with each other to perform...

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Bibliographic Details
Published inIEEE transactions on aerospace and electronic systems Vol. 53; no. 1; pp. 122 - 134
Main Authors Jianxin Yi, Xianrong Wan, Leung, Henry, Min Lu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Approximation algorithms
Combinatorial analysis
combinatorial optimization
Computer simulation
Constraint modelling
Convex functions
convex optimization
distributed multiple-input multiple-output (MIMO) radar
Heuristic algorithms
MIMO radar
multistatic radar
Optimization
Placement
Receivers
Sensor placement
Transformations (mathematics)
Transmitters
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Summary:Geometry configuration is crucial to the system performance in distributed multiple-input-multiple-output (MIMO) radars. Sensor placement in distributed MIMO radars is different from the conventional sensor placement problem as transmitters and receivers need to cooperate with each other to perform sensing. In this paper, we establish a combinatorial optimization model for the joint placement of transmitters and receivers. The proposed algorithm first transforms the original model into an equivalent model with convex constraints via convex relaxation. Then, the nonconvex objective function is further replaced with a new convex surrogate. The surrogate is shown to converge to a good approximation of the original optimal solution. The performance of the proposed algorithm is validated using numerical simulations.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2017.2649338