An improved track-before-detect method for moving target detection using GNSS reflected signals

Global Navigation Satellite System (GNSS) reflected signals have been used to detect moving targets through long-time integration processing. However, mismatches arise between the target’s actual motion and the assumed motion model over a long integration time, degrading detection performance. To ad...

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Vydáno v:Satellite navigation Ročník 6; číslo 1; s. 24 - 21
Hlavní autoři: He, Zhenyu, Mao, Yi, Yang, Yang, Chen, Wu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.09.2025
Springer Nature B.V
SpringerOpen
Témata:
Algorithms
Dynamic programming
Engineering
Experiments
Geometry
Global navigation satellite system
Global positioning systems
GPS
Localization
Long-time hybrid integration
Methods
Moving target detection
Original Article
Parameter estimation
Radar systems
Remote sensing
Satellites
Surveillance
Track-before-detect
Velocity
Track-before-detect
Global navigation satellite system
Moving target detection
Dynamic programming
Long-time hybrid integration
ISSN:2662-9291, 2662-1363
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Shrnutí:Global Navigation Satellite System (GNSS) reflected signals have been used to detect moving targets through long-time integration processing. However, mismatches arise between the target’s actual motion and the assumed motion model over a long integration time, degrading detection performance. To address this problem, this paper proposes an improved Track-before-Detect (TbD) method characterized by a two-stage architecture. In the first stage, current Long-Time Hybrid Integration (LTHI) techniques are employed to correct the range and Doppler migrations caused by the target’s motion, thereby concentrating the target energy within an individual scan duration. In the second stage, plot lists extracted from multiple scans are recursively processed to further accumulate target energy by using the target’s kinematic constraints across different scans. Finally, target energy is enhanced sufficiently for reliable detection, while also enabling the acquisition of the target’s motion parameters over all scans. Compared to the existing Dynamic Programming (DP)-TbD method, the proposed method can exploit the characteristics of the stack of integrated range and Doppler maps produced by the LTHI techniques to improve algorithm execution efficiency without sacrificing detection performance and parameter estimation accuracy. The results from the simulations and field trials confirm the effectiveness of the proposed method in detecting maneuvering and non-maneuvering targets. Meanwhile, the proposed method achieves detection performance and motion parameter estimation errors comparable to the existing DP-TbD method, while significantly lowering the computational time.
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ISSN:2662-9291
2662-1363
DOI:10.1186/s43020-025-00176-7