Joint Optimization of Node Positions and Transmit States for Distributed MIMO Surveillance in Electronic Countermeasure Environments

Zhenxing Zhang; Xueting Li; Yunhao Li; Tianxian Zhang; Xiang Gen Xia

doi:10.1109/TAES.2026.3652994

Joint Optimization of Node Positions and Transmit States for Distributed MIMO Surveillance in Electronic Countermeasure Environments

Zhenxing Zhang
, Xueting Li
, Yunhao Li
, Tianxian Zhang^*
, Xiang Gen Xia

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Distributed MIMO radar in electronic countermeasure environments faces a critical trade-off between surveillance performance and electromagnetic exposure. This paper jointly optimizes node positions and transmit states to balance the signal-to-interference-plus-noise ratio against the probability of interception by self-protection jammers. We formulate this as a 0-1 mixed-integer bi-objective optimization problem and solve it using an improved particle swarm optimization algorithm. Simulation results demonstrate the superior trade-off performance compared to benchmark methods.

Original language	English
Journal	IEEE Transactions on Aerospace and Electronic Systems
DOIs	https://doi.org/10.1109/TAES.2026.3652994
Publication status	Accepted/In press - 2026
Externally published	Yes

Keywords

0-1 mixed-integer bi-objective optimization
Distributed MIMO radar
particle swarm optimization
surveillance performance

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10.1109/TAES.2026.3652994

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title = "Joint Optimization of Node Positions and Transmit States for Distributed MIMO Surveillance in Electronic Countermeasure Environments",

abstract = "Distributed MIMO radar in electronic countermeasure environments faces a critical trade-off between surveillance performance and electromagnetic exposure. This paper jointly optimizes node positions and transmit states to balance the signal-to-interference-plus-noise ratio against the probability of interception by self-protection jammers. We formulate this as a 0-1 mixed-integer bi-objective optimization problem and solve it using an improved particle swarm optimization algorithm. Simulation results demonstrate the superior trade-off performance compared to benchmark methods.",

keywords = "0-1 mixed-integer bi-objective optimization, Distributed MIMO radar, particle swarm optimization, surveillance performance",

author = "Zhenxing Zhang and Xueting Li and Yunhao Li and Tianxian Zhang and Xia, \{Xiang Gen\}",

note = "Publisher Copyright: {\textcopyright} 1965-2011 IEEE.",

year = "2026",

doi = "10.1109/TAES.2026.3652994",

language = "English",

journal = "IEEE Transactions on Aerospace and Electronic Systems",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Joint Optimization of Node Positions and Transmit States for Distributed MIMO Surveillance in Electronic Countermeasure Environments

AU - Zhang, Zhenxing

AU - Li, Xueting

AU - Li, Yunhao

AU - Zhang, Tianxian

AU - Xia, Xiang Gen

PY - 2026

Y1 - 2026

N2 - Distributed MIMO radar in electronic countermeasure environments faces a critical trade-off between surveillance performance and electromagnetic exposure. This paper jointly optimizes node positions and transmit states to balance the signal-to-interference-plus-noise ratio against the probability of interception by self-protection jammers. We formulate this as a 0-1 mixed-integer bi-objective optimization problem and solve it using an improved particle swarm optimization algorithm. Simulation results demonstrate the superior trade-off performance compared to benchmark methods.

AB - Distributed MIMO radar in electronic countermeasure environments faces a critical trade-off between surveillance performance and electromagnetic exposure. This paper jointly optimizes node positions and transmit states to balance the signal-to-interference-plus-noise ratio against the probability of interception by self-protection jammers. We formulate this as a 0-1 mixed-integer bi-objective optimization problem and solve it using an improved particle swarm optimization algorithm. Simulation results demonstrate the superior trade-off performance compared to benchmark methods.

KW - 0-1 mixed-integer bi-objective optimization

KW - Distributed MIMO radar

KW - particle swarm optimization

KW - surveillance performance

UR - https://www.scopus.com/pages/publications/105027738613

U2 - 10.1109/TAES.2026.3652994

DO - 10.1109/TAES.2026.3652994

M3 - Article

AN - SCOPUS:105027738613

SN - 0018-9251

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

ER -

Joint Optimization of Node Positions and Transmit States for Distributed MIMO Surveillance in Electronic Countermeasure Environments

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Keywords

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