Manifold Transformation-based Information Geometry Radar Target Detection Method

YANG Zheng; CHENG Yongqiang; WU Hao; YANG Yang; LI Xiang; WANG Hongqiang

doi:10.11999/JEIT240286

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YANG Zheng, CHENG Yongqiang, WU Hao, YANG Yang, LI Xiang, WANG Hongqiang. Manifold Transformation-based Information Geometry Radar Target Detection Method[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240286

Citation:

YANG Zheng, CHENG Yongqiang, WU Hao, YANG Yang, LI Xiang, WANG Hongqiang. Manifold Transformation-based Information Geometry Radar Target Detection Method[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240286

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Manifold Transformation-based Information Geometry Radar Target Detection Method

doi: 10.11999/JEIT240286

College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds: The National Natural Science Foundation of China (61921001), The Distinguished Youth Science Foundation of Hunan Province (2022JJ10063)

Received Date: 2024-04-16
Rev Recd Date: 2024-09-06

Available Online: 2024-09-28

Abstract

Abstract

A novel and effective information geometry-based method for detecting radar targets is proposed. Based on the theory of matrix information geometry. Due to the poor discriminative power between the target and the clutter on matrix manifold under complex heterogeneous clutter background with low Signal-to-Clutter Ratio (SCR), in this study, the problem of unsatisfactory performance for the conventional information geometry detector is considered, Therefore, to address this issue, a manifold transformation-based information geometry detector is proposed. Concretely, a manifold-to-manifold mapping scheme is designed, and a joint optimization method based on the geometric distance between the Cell Under Test (CUT) and the clutter centroid is presented to enhance the discriminative power between the target and the clutter on the mapped manifold. Finally, the superior performance of the proposed method is evaluated using simulated and real clutter data. The results of simulated data show that the detection probability of the proposed method is over 60% when the SCR exceeds 1 dB. Meanwhile, the real data results confirm that the proposed method can achieve SCR improvement about 3～6 dB compared with the conventional information geometry detector.
- Radar target detection,
- Low signal-to-clutter ratio,
- Information geometry,
- Matrix manifold,
- Manifold transformation

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References(40)

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