Multiple maneuvering extended targets detection by 3D projection and tracklet association

Yan, Baixing; Xu, Na; Sun, Zhen; Xu, Liyun

doi:10.1016/j.sigpro.2020.107821

Cited by 17 publications

(18 citation statements)

References 34 publications

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“…The three components are highlighted by blue, green, and red boxes. Firstly, N v detection bins are built [21], each detection bin corresponding to a 3D vector. In [2,19,21], the 3 dimensions in 3D TBD regard the X axis, Y axis, and time, respectively.…”

Section: Framework Of the Proposed Methodsmentioning

confidence: 99%

“…Firstly, N v detection bins are built [21], each detection bin corresponding to a 3D vector. In [2,19,21], the 3 dimensions in 3D TBD regard the X axis, Y axis, and time, respectively. A total of 140 3D vectors are selected for the limitation of target velocity [2].…”

Section: Framework Of the Proposed Methodsmentioning

confidence: 99%

“…The intersection is confirmed as a target track if its score is larger than T 2 d . In maneuvering target tracking scenarios, tracklets can be detected by the proposed method firstly, and the whole trajectory can be then obtained by associating the tracklets [21,33].…”

Section: Framework Of the Proposed Methodsmentioning

confidence: 99%

“…It is mainly because all possible high-dimensional solutions are exploited. The methods [2,19,21] are designed for 2D radars whose position information only contains the X axis and Y axis. Therefore, to solve the problem, the proposed 4D TBD consists of two stages.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed method here is designed to track the weak targets in uniform linear motion and slowly maneuvering targets, especially for aircraft, using air surveillance radar [22]. In our former work [13,19,21], tracking maneuvering targets [23] were divided into two stages, tracklet generation and tracklet association. In maneuvering target tracking cases, extended target tracklets can be extracted by the proposed method.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Novel 4D Track-before-Detect Approach for Weak Targets Detection in Clutter Regions

Yan

Zhang

et al. 2021

Remote Sensing

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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.

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