Jammer Localization Approach Based on Crowdsourcing Carrier-to-Noise Density Power Ratio Fusion

Author:

Liu Jiaxing,Xie Jun,Zhang Xu,Wang Jian

Publisher

Springer Singapore

Reference8 articles.

1. Cetin, E., Thompson, R.J.R., Trinkle, M., et al.: Interference detection and localization within the GNSS environmental monitoring system (GEMS) - system update and latest field test results. In: the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation, pp. 3449–3460 (2014)

2. Montminy, M.B.: Passive geolocation of low-power emitters in urban environment using TDOA. Department of Electrical and Computer Engineering, Air Force Institute of Technology (2007)

3. Bhatti, J.A., Humphreys, T.E., Ledvina, B.M.: Development and demonstration of a TDOA-based GNSS interference signal localization system. In: IEEE/ION Position Location and Navigation Symposium (PLANS), pp. 455–469 (2012)

4. Lindström, J., Akos, D.M., Isoz, O., et al.: GNSS interference detection and localization using a network of low cost front-end modules. In: the 20th International Technical Meeting of the Satellite Division of the Institute of Navigation, pp. 1165–1172 (2007)

5. Scott, L.: J911: the case for fast jammer detection and location using crowdsourcing approaches. In: the 24th International Technical Meeting of the Satellite Division of the Institute of Navigation, pp. 1931–1940 (2011)

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1. Ubiquitous Localization and Trajectory Tracking Approach for GNSS Jammer;Lecture Notes in Electrical Engineering;2023-11-02

2. Using Mobile Phones for Participatory Detection and Localization of a GNSS Jammer;2023 IEEE/ION Position, Location and Navigation Symposium (PLANS);2023-04-24

3. Participatory Sensing for Localization of a GNSS Jammer;2022 International Conference on Localization and GNSS (ICL-GNSS);2022-06-07

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