Optimal power allocation for cooperative localization in UAV swarms

Xiaokun Si; Feng Qi; Huaijin Chen; Haiyan Zhang; Mingxing Ke; Zhi Lin; Yuxi Wang

doi:10.1117/12.2673799

6 April 2023 Optimal power allocation for cooperative localization in UAV swarms

Xiaokun Si, Feng Qi, Huaijin Chen, Haiyan Zhang, Mingxing Ke, Zhi Lin, Yuxi Wang

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 126151C (2023) https://doi.org/10.1117/12.2673799
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

For UAV swarms, accurate cooperative localization capability is essential for many applications, especially in GNSSdenied environments where absolute localization information is jammed. The accuracy of cooperative localization is related to the power of the signal transmitted by UAVs. Therefore, for the lifetime and localization accuracy of each UAV, power allocation strategies are crucial issues. The power allocation scheme is looked at in this paper to obtain the optimal resource allocation for UAV swarms. First, in both non-jammed and jammed localization scenarios, the Cramer- Rao lower bound (CRLB) is used as the evaluation index for cooperative localization accuracy. Then, according to the characteristics of the power allocation issue, it is converted into a semidefinite programming (SDP) problem with the limitation of minimum localization accuracy, i.e., the maximum CRLB. The power allocation issues in either scenario can be resolved by SDP. The outcomes of the numerical simulation demonstrate that the proposed optimal scheme can reduce resource consumption while still achieving the needed localization accuracy.

Citation Download Citation

Xiaokun Si, Feng Qi, Huaijin Chen, Haiyan Zhang, Mingxing Ke, Zhi Lin, and Yuxi Wang "Optimal power allocation for cooperative localization in UAV swarms", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 126151C (6 April 2023); https://doi.org/10.1117/12.2673799

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KEYWORDS

Unmanned aerial vehicles

Power consumption

Computer programming

Matrices

3D modeling

Systems modeling

Interference (communication)

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