UAV positioning algorithm based on LU decomposition preprocessing

Yonglun Li; Zhigang Li; Lei Yang

doi:10.1117/12.2589404

27 January 2021 UAV positioning algorithm based on LU decomposition preprocessing

Yonglun Li, Zhigang Li, Lei Yang

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117202C (2021) https://doi.org/10.1117/12.2589404
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

Based on the problem that the observation matrix in the traditional target positioning algorithm in wireless sensor networks, does not satisfy Restricted Isometry Property, a sparse target positioning algorithm based on LU decomposition is proposed. The algorithm applies the principle of compressed sensing to the grid target positioning problem based on the Received Signal Strength Indication. The LU decomposition method is used to decompose the observation matrix, which not only satisfies Restricted Isometry Property, but also reduces the impact on the original signal sparsity. After the experiment of the UAV positioning system, it is proved that the positioning performance of the target positioning algorithm based on LU decomposition is superior to that of the sparse node positioning algorithm based on Orth preprocessing.

Citation Download Citation

Yonglun Li, Zhigang Li, and Lei Yang "UAV positioning algorithm based on LU decomposition preprocessing", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117202C (27 January 2021); https://doi.org/10.1117/12.2589404

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