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| Citation: | GAO Chang, GU Fengdeng, YAN Junkun, et al. Fusion detection for networked radar aided by Doppler information[J]. Journal of Radars, 2023, 12(3): 500–515. doi: 10.12000/JR22220
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Fusion Detection for Networked Radar Aided by Doppler Information
DOI: 10.12000/JR22220
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Abstract
Compared with single-radar systems, spatially separated networked radar usually has better detection performance due to its advantages of spatial and frequency diversities. Most of the current fusion detection methods based on networked radar systems only rely on the echo amplitude information of the target without considering the Doppler information that a coherent radar system can obtain to assist detection of targets. Intuitively, the spatial position and radial velocity of a target observed by different radar devices in the networked radar systems should meet certain physical constraints under which the target and false target can be substantially distinguished. Based on this consideration, fusion detection for the networked radar aided by a Doppler information algorithm is proposed in this paper. First, a set of inequalities is constructed based on the coupling between the observation of the same target’s azimuth and Doppler velocity by multiple radar stations. Then, a two-phase method, an algorithm in operational research, is used to judge whether the inequalities have a feasible solution, based on which a judgment is made on whether the target exists. Finally, some simulations are conducted, which show that the proposed algorithm can effectively improve the detection performance of the networked radar system fusion detection. Additionally, the influence of radar station location and target position on the fusion detection performance of the proposed algorithm is analyzed. -
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References
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- Figure 1. Networked radar fusion detection system
- Figure 2. Position relation between lines in linear inequalities based on single radar station
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Figure 3. Corresponding feasible region
${R_i}$ - Figure 4. Three-radar station system
- Figure 5. Feasible region R of S1 and S2
- Figure 6. The position of L3 of S1 and S2
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Figure 7. Corresponding feasible region
${R_i}$ - Figure 8. Feasible region R of S1 and S2
- Figure 9. Possible region of L3 of S3
- Figure 10. Radar network common view area
- Figure 11. Detection performance of various traditional fusion detectors before and after the introduction of Doppler information
- Figure 12. Feasible region R based on dual-radar station system
- Figure 13. Feasible region R based on three-radar station system
- Figure 14. Location of radar stations
- Figure 15. Detection performance of different algorithms applied for scenes with different number of radar stations
- Figure 16. Locations of 3 radar stations with different top angles
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Figure 17. Distribution of
$\{ {R_i}\} _{i = 1}^3$ - Figure 18. Detection performance of algorithm applied in radar systems with different distributions of radars
- Figure 19. Location of targets
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Figure 20. Distribution of
$\{ {R_i}\} _{i = 1}^3$ - Figure 21. Detection performance of algorithm applied in radar systems with different locations of targets