Multi-UAV Cooperative Localization for Marine Targets Based on Weighted Subspace Fitting in SAGIN Environment
| Autor: | Xianpeng Wang, Laurence T. Yang, Kaoru Ota, Mianxiong Dong, Huafei Wang, Dandan Meng |
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| Rok vydání: | 2022 |
| Předmět: |
Computational complexity theory
Computer Networks and Communications Computer science MIMO Real-time computing ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications 02 engineering and technology Sparse approximation Computer Science Applications Matrix (mathematics) Data model Hardware and Architecture Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Subspace topology Information Systems Sparse matrix Block (data storage) |
| Zdroj: | IEEE Internet of Things Journal. 9:5708-5718 |
| ISSN: | 2372-2541 |
| Popis: | As an indispensable part of Internet of Vehicles (IoV), unmanned aerial vehicles (UAVs) can be deployed for target positioning and navigation in space-air-ground integrated networks (SAGIN) environment. Maritime target positioning is very important for the safe navigation of ships, hydrographic surveys, and marine resource exploration. Traditional methods typically exploit satellites to locate marine targets in SAGIN environment, and the location accuracy does not satisfy the requirements of modern ocean observation missions. In order to localize marine target, we develop a system architecture in this paper, which contains UAVs integrated with monostatic multiple-input multiple-output (MIMO) radars. The main thrust is to estimate direction-of-arrival (DOA) via MIMO radar. Herein, we consider a general scenario that unknown mutual coupling exist, and a novel sparse reconstruction algorithm is proposed. The mutual coupling matrix (MCM) is adopted with the help of its special structure, we formulate the data model as a sparse representation form. Then two novel matrices, a weighted matrix and a reduced-dimensional matrix are constructed to reduce the computational complexity and enhance the sparsity, respectively. Thereafter, a sparse constraint model is constructed using the concept of optimal weighted subspace fitting (WSF). Finally, DOA estimation of maritime targets can be achieved by reconstructing the support of a block sparse matrix. Based on the DOA estimation results, multiple UAVs are used to cross-locate marine targets multiple times, and an accurate marine target position is achieved in SAGIN environment. Numerical results are carried out, which demonstrates the effectiveness of the proposed DOA estimator, and the multi-UAV cooperative localization system can realize accurate target localization. |
| Databáze: | OpenAIRE |
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