Subspace Projection Based Track-Before-Detect Scheme for Small Moving Target in Complex Underwater Environment

Huajie CHEN; Haoran BAI

doi:10.11999/JEIT200446

Volume 43 Issue 3

Mar. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(3): 826-833

Huajie CHEN, Haoran BAI. Subspace Projection Based Track-Before-Detect Scheme for Small Moving Target in Complex Underwater Environment[J]. Journal of Electronics & Information Technology, 2021, 43(3): 826-833. doi: 10.11999/JEIT200446

Citation:

Huajie CHEN, Haoran BAI. Subspace Projection Based Track-Before-Detect Scheme for Small Moving Target in Complex Underwater Environment[J]. Journal of Electronics & Information Technology, 2021, 43(3): 826-833. doi: 10.11999/JEIT200446

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Subspace Projection Based Track-Before-Detect Scheme for Small Moving Target in Complex Underwater Environment

doi: 10.11999/JEIT200446

Huajie CHEN^,,
Haoran BAI

Fundamental Science on Communication Information Transamission and Fusion Technology Laboratory, Hangzhou Dianzi University, Hangzhou 310018, China

Funds: The National Defense Science and Technology Key Laboratory Foundation of China (6142804180407), The National Defense Basic Scientific Research Program of China (JCKY2018415C004)

Received Date: 2020-06-04
Rev Recd Date: 2020-11-26

Available Online: 2020-11-27

Publish Date: 2021-03-22

Abstract

Abstract

The small moving target detection in complex underwater environment is complicated due to the weak target signal strength and low signal-to-clutter ratio. A Track-Before-Detect (TBD) algorithm based on subspace projection is proposed to solve these problems. A sequence motion track fragment is extracted from the original data, and then projected from the 3D space-time onto the 2D subspace. The morphological features in 2D subspace are applied to preliminary screening to remove most of the clutters and locate the local motion areas of the target. The 3D space-time track is reconstructed from 2D subspace in these local motion areas. During the above 3D track backtracking process, the motion continuity characteristics are also extracted to further remove the clutters and select the effective target track fragments. Through the above-mentioned hierarchical processing, a fast and high-precision target track fragment detection algorithm is achieved. By combing this track fragment detection algorithm with the foreground detection and Hierarchical Agglomerative Clustering (HAC) based long-time track detection algorithms, a complete TBD scheme for small moving targets detection is constructed. The accuracy and speed of this detection scheme are verified on the real sonar image data.
- Small moving target detection,
- Tracking-Before- Detection(TBD),
- Complex underwater environment,
- Subspace projection

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References(18)

References

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