Abstract
In this paper, we propose a fiber-missing tensor completion-based method for direction-of-arrival (DOA) estimation in sensor failure scenario, where the completion of a three-dimensional (3-D) incomplete tensor signal is pursued to enable accurate DOA estimation. However, due to fibers of missing elements caused by sensor failure in the incomplete tensor signal, it cannot be effectively completed by the conventional low-rank tensor completion methods. To address this problem, a spatial-temporal dimensional augmentation technique is designed to construct a 6-D Hankel tensor with distributed missing elements from the 3-D incomplete tensor signal. Then, a Tucker-based tensor completion method is proposed to complete the augmented Hankel tensor. By operating the inverse Hankelization on the completed Hankel tensor, the resulting completed tensor signal can be effectively decomposed for DOA estimation. Simulation results verify the effectiveness of the proposed method.
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Acknowledgement.
This work was supported in part by the National Key R &D Program of China (No. 2018YFE0126300), the National Natural Science Foundation of China (No. 61901413, U21A20456), the Research Project of the State Key Laboratory of Industrial Control Technology (No. ICT2022A02), the Zhejiang University Education Foundation Qizhen Scholar Foundation, and the 5G Open Laboratory of Hangzhou Future Sci-Tech City.
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Cheng, F., Zheng, H., Shi, Z., Zhou, C. (2023). Fiber-Missing Tensor Completion for DOA Estimation with Sensor Failure. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_319
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DOI: https://doi.org/10.1007/978-981-99-0479-2_319
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