Joint Detection Threshold and Power Allocation Optimization Strategy for Multi-Target Tracking in Radar Networks

SHI Zhao; SHI Chenguang; WANG Fei; ZHOU Jianjiang

doi:10.11999/JEIT231242

Volume 46 Issue 5

May 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(5): 2065-2075

SHI Zhao, SHI Chenguang, WANG Fei, ZHOU Jianjiang. Joint Detection Threshold and Power Allocation Optimization Strategy for Multi-Target Tracking in Radar Networks[J]. Journal of Electronics & Information Technology, 2024, 46(5): 2065-2075. doi: 10.11999/JEIT231242

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SHI Zhao, SHI Chenguang, WANG Fei, ZHOU Jianjiang. Joint Detection Threshold and Power Allocation Optimization Strategy for Multi-Target Tracking in Radar Networks[J]. Journal of Electronics & Information Technology, 2024, 46(5): 2065-2075. doi: 10.11999/JEIT231242

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Joint Detection Threshold and Power Allocation Optimization Strategy for Multi-Target Tracking in Radar Networks

doi: 10.11999/JEIT231242

1.
Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Ministry of Education, Nanjing 211106, China
2.
Nanjing Changjiang Electronics Group Co., Ltd., Nanjing 210038, China

Funds: The National Natural Science Foundation of China (62271247), The Defense Industrial Technology Development Program (JCKY2021210B004), The National Aerospace Science Foundation of China (20220055052001), The Fundation of Prospective Layout of Scientific Research for Nanjing University of Aeronautics and Astronautics (ILA220171A22)

Received Date: 2023-11-09
Rev Recd Date: 2024-04-28

Available Online: 2024-05-07

Publish Date: 2024-05-30

Abstract

Abstract

In order to enhance the radio frequency stealth performance of radar networks, a Joint Detection Threshold and Power Allocation Optimization (JDTPAO) Strategy for Multi-Target Tracking (MTT) in radar networks is studied in this paper. Firstly, based on the integrated structure of detection and tracking, the average detection probability in associated gate and the predicted Bayesian Cramér-Rao Lower Bound are respectively derived as the performance metrics for target detection and MTT. Subsequently, a joint detection threshold and power allocation optimization model for minimizing the total power consumption is formulated, in which the node selection, detection threshold and power allocation are to be optimized, and the predetermined detection and MTT performance requirements, as well as the limited transmit resource are considered as the constraints. To address this problem, an approach combining improved probabilistic data association algorithm and sequential quadratic programming is proposed. Simulation results indicate that the proposed strategy effectively reduces the power consumption of radar network while meeting the requirements for target detection and tracking, thereby improving the radio frequency stealth performance.
- Radar network,
- Multi-Target Tracking (MTT),
- Radio frequency stealth,
- Detection threshold,
- Transmit power

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References(27)

References

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