Abstract
A 4D TBD approach is developed here for closely weak extended target tracking and overcoming heterogeneous clutter background and various clutter regions. The 4D measurements in this work are the points containing three positional information in spatial space and corresponding timestamp. The proposed method is mainly designed to address two issues. The first one is the dilemma between the weak target detection and difficult computation originating from the high dimensions of measurement. The second issue is the suppression of inhomogeneous background clutter and various clutter regions. The extension experiment using synthetic data showcases that no false alarm track would be built in the clutter regions, and the detection rate of close targets exceeds 94%. The experiments using real 3D radar also prove that the method works well in tracking closely maneuvering extended targets even if a clutter region exists.
Highlights
A 4D TBD approach method is developed to detect the weak tracks in 3D radar systems
The first issue is the dilemma between the weak extended target detection and difficult computation originating from the high dimensions of measurement [1]
The PHD filter [3] and CPHD filter [4] have been developed for multiple extended target tracking
Summary
A 4D TBD approach method is developed to detect the weak tracks in 3D radar systems. The nonhomogeneity of the surveillance region makes the tracking method very sensitive to false alarms and target miss-detection. In these scenarios, the clutter region suppression is significant in reducing false tracks and improving true target track life [25]. The clutter region suppression is significant in reducing false tracks and improving true target track life [25] To address this issue, Spatio-temporal detection [26], a clutter map [27], and a prior knowledge-based method [25] have been developed to suppress the clutter region.
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