Volume 8 Issue 4
Aug.  2019
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Article Contents

WANG Jinghe, YI Wei, and KONG Lingjiang. Multi-frame track before detect method for the netted radar system[J]. Journal of Radars, 2019, 8(4): 490–500. doi:  10.12000/JR18092
 Citation: WANG Jinghe, YI Wei, and KONG Lingjiang. Multi-frame track before detect method for the netted radar system[J]. Journal of Radars, 2019, 8(4): 490–500. doi:  10.12000/JR18092

# Multi-frame Track Before Detect Method for the Netted Radar System

##### doi: 10.12000/JR18092
Funds:  The National Natural Science Foundation of China (61771110), The Chang Jiang Scholars Program (B17008), The Fundamental Research Funds of Central Universities (ZYGX2016J031)
• Corresponding author: YI Wei, kussoyi@gmail.com
• Rev Recd Date: 2019-01-29
• Publish Date: 2019-08-28
• Recently, Netted Radar System (NRS) has received much attention due to its robust performance gain. Usually, the NRS Detect Before Track (DBT) method detects the received data at each time, acquiring a set of alarm plots, and then transmits these plots or the trajectories obtained based on them to the fusion center, thus generating a global estimated result. However, when the Signal-to-Noise Ratio (SNR) is low, the performance becomes highly degraded because the targets cannot pass the single-frame detection threshold of DBT. To solve this problem, a netted radar Multi-Frame Track Before Detect (MF-TBD) method is proposed in this paper. First, MF-TBD is performed in local radar nodes, and then it acquires estimated target plot sequences and transmits them to the center for further fusion. MF-TBD can take advantage of NRS, and also can utilize target space time correlation through MF-TBD processing and enhance the target SNR. Thus, it can improve detection performance. However, the outputs of MF-TBD are different from that of DBT. Therefore, the current fusion methods for DBT are not suitable for MF-TBD. To solve this problem, this paper first derives a fusion method for plot sequences, then reports its processing steps in radar system, and finally proposes an implementation method based on the particle filter. The simulation results show that the proposed method has a detection performance gain of 4 to 6 dB than the traditional method based on DBT, and a 50% gain on estimation accuracy than single-sensor MF-TBD.
###### 通讯作者: 陈斌, bchen63@163.com
• 1.

沈阳化工大学材料科学与工程学院 沈阳 110142

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## Multi-frame Track Before Detect Method for the Netted Radar System

##### doi: 10.12000/JR18092
###### School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Funds:  The National Natural Science Foundation of China (61771110), The Chang Jiang Scholars Program (B17008), The Fundamental Research Funds of Central Universities (ZYGX2016J031)
###### Corresponding author:YI Wei, kussoyi@gmail.com

Abstract: Recently, Netted Radar System (NRS) has received much attention due to its robust performance gain. Usually, the NRS Detect Before Track (DBT) method detects the received data at each time, acquiring a set of alarm plots, and then transmits these plots or the trajectories obtained based on them to the fusion center, thus generating a global estimated result. However, when the Signal-to-Noise Ratio (SNR) is low, the performance becomes highly degraded because the targets cannot pass the single-frame detection threshold of DBT. To solve this problem, a netted radar Multi-Frame Track Before Detect (MF-TBD) method is proposed in this paper. First, MF-TBD is performed in local radar nodes, and then it acquires estimated target plot sequences and transmits them to the center for further fusion. MF-TBD can take advantage of NRS, and also can utilize target space time correlation through MF-TBD processing and enhance the target SNR. Thus, it can improve detection performance. However, the outputs of MF-TBD are different from that of DBT. Therefore, the current fusion methods for DBT are not suitable for MF-TBD. To solve this problem, this paper first derives a fusion method for plot sequences, then reports its processing steps in radar system, and finally proposes an implementation method based on the particle filter. The simulation results show that the proposed method has a detection performance gain of 4 to 6 dB than the traditional method based on DBT, and a 50% gain on estimation accuracy than single-sensor MF-TBD.

WANG Jinghe, YI Wei, and KONG Lingjiang. Multi-frame track before detect method for the netted radar system[J]. Journal of Radars, 2019, 8(4): 490–500. doi:  10.12000/JR18092
 Citation: WANG Jinghe, YI Wei, and KONG Lingjiang. Multi-frame track before detect method for the netted radar system[J]. Journal of Radars, 2019, 8(4): 490–500. doi:  10.12000/JR18092
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