Performance Limits for Signals of Opportunity-Based Navigation
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914882829418496 |
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| author | Zanirato, Francesco Ardizzon, Francesco Crosara, Laura Curzio, Alessio Canzian, Luca Tomasin, Stefano Laurenti, Nicola |
| author_facet | Zanirato, Francesco Ardizzon, Francesco Crosara, Laura Curzio, Alessio Canzian, Luca Tomasin, Stefano Laurenti, Nicola |
| contents | This paper investigates the potential of non-terrestrial and terrestrial signals of opportunity (SOOP) for navigation applications. Non-terrestrial SOOP analysis employs modified Cramèr-Rao lower bound (MCRLB) to establish a relationship between SOOP characteristics and the accuracy of ranging information. This approach evaluates hybrid navigation module performance without direct signal simulation. The MCRLB is computed for ranging accuracy, considering factors like propagation delay, frequency offset, phase offset, and angle-of-arrival (AOA), across diverse non-terrestrial SOOP candidates. Additionally, Geometric Dilution of Precision (GDOP) and low earth orbit (LEO) SOOP availability are assessed. Validation involves comparing MCRLB predictions with actual ranging measurements obtained in a realistic simulated scenario. Furthermore, a qualitative evaluation examines terrestrial SOOP, considering signal availability, accuracy attainability, and infrastructure demands. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_16426 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Performance Limits for Signals of Opportunity-Based Navigation Zanirato, Francesco Ardizzon, Francesco Crosara, Laura Curzio, Alessio Canzian, Luca Tomasin, Stefano Laurenti, Nicola Signal Processing This paper investigates the potential of non-terrestrial and terrestrial signals of opportunity (SOOP) for navigation applications. Non-terrestrial SOOP analysis employs modified Cramèr-Rao lower bound (MCRLB) to establish a relationship between SOOP characteristics and the accuracy of ranging information. This approach evaluates hybrid navigation module performance without direct signal simulation. The MCRLB is computed for ranging accuracy, considering factors like propagation delay, frequency offset, phase offset, and angle-of-arrival (AOA), across diverse non-terrestrial SOOP candidates. Additionally, Geometric Dilution of Precision (GDOP) and low earth orbit (LEO) SOOP availability are assessed. Validation involves comparing MCRLB predictions with actual ranging measurements obtained in a realistic simulated scenario. Furthermore, a qualitative evaluation examines terrestrial SOOP, considering signal availability, accuracy attainability, and infrastructure demands. |
| title | Performance Limits for Signals of Opportunity-Based Navigation |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2407.16426 |