@inproceedings{9da10e245b5642b4941eac0e6f52d755,
title = "Tensorial Hankel Reconstruction for Multi-Frequency Sparse Array with Sensor Failure",
abstract = "A tensorial Hankel reconstruction method for underdetermined direction of arrival (DOA) estimation with multifrequency sparse arrays is proposed in this paper. Firstly, virtual arrays are extended into a uniform linear array (ULA) across all frequencies and structured as a 3-D tensor. Then, it is transformed into a 4-D Hankel representation via spatial dimension augmentation, where missing elements are dispersed while dimensional information is enriched. After low-rank tensor completion, the restored 4-D Hankel tensor is inversely mapped to the 3-D space for DOA estimation. Simulation results are provided to verify the effectiveness of the proposed method in handling severe data loss from sensor failures.",
keywords = "Sparse array, multiple frequency, sensor failure, tensorial Hankel reconstruction, underdetermined direction-of-arrival estimation",
author = "Youhao Kong and Qing Shen and Qining Feng and Chenxi Liao and Wei Liu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Workshop on Signal Processing Systems, SiPS 2025 ; Conference date: 01-11-2025 Through 04-11-2025",
year = "2025",
doi = "10.1109/SiPS66314.2025.11261307",
language = "English",
series = "2025 IEEE Workshop on Signal Processing Systems, SiPS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE Workshop on Signal Processing Systems, SiPS 2025",
address = "United States",
}