Signal Fusion Method for Networked Radar Motivated by Data Fusion

被引：2

作者：

Zhang, Zhenghe ^{[1
]}

Zhu, Jiahao ^{[2
]}

Liu, Nan ^{[1
]}

Zhang, Linrang ^{[1
]}

Yang, Minglei ^{[1
]}

机构：

[1] Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China

[2] Xidian Univ, Hangzhou Inst Technol, Hangzhou 311231, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2025年 / 25卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Radar; Radar detection; Data integration; Radar cross-sections; Radar tracking; Sensors; Target tracking; Transceivers; Radar signal processing; Object detection; Data fusion; networked radar system; signal fusion; transmission volume; MIMO RADAR; ALGORITHM; DESIGN;

D O I：

10.1109/JSEN.2024.3492137

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Networked radar can effectively enhance the probability of target detection via signal fusion. However, the substantial data transmission required for signal fusion imposes a significant communication burden. In this article, a signal fusion target detection method for networked radar motivated by data fusion is proposed. The track information transmitted by node radars is processed through data fusion detection at first. Targets meeting the detection criteria can be detected at once. For track points that do not meet the detection criteria, the fusion center commands each node to transmit part of the echoes. The fusion center then utilizes the transmitted partial echo information for signal fusion to determine the presence of targets. Analysis of the performance of the proposed algorithm and the required transmission data volume is conducted. Finally, simulation results demonstrate the effectiveness of the proposed algorithm.

引用

页码：951 / 961

页数：11

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