Kulkarni K, Franchi N, Fettweis G (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2019-April
Conference Proceedings Title: IEEE Wireless Communications and Networking Conference, WCNC
ISBN: 9781538676462
DOI: 10.1109/WCNC.2019.8885898
Locating active users/transmitters and predicting interference patterns in real-time is a key challenge in next generation radio networks to enable robust wireless communication and highly dynamic radio resource allocation. We consider a network of collaborating spectrum sensing units (SUs) and propose a two-phase approach for localization and tracking of transmitters using received signal strength at SUs. The first phase involves estimation of locations of multiple transmitters using compressed sensing based method. In the second phase, the location estimates are improved and velocities of mobile transmitters are estimated using extended Kalman filter. The proposed approach is evaluated through simulations considering an industrial channel model with correlated shadowing. We investigate the effect of SU placement, transmitter density, mobility and fading on the localization performance.
APA:
Kulkarni, K., Franchi, N., & Fettweis, G. (2019). Reliable Real-time Localization and Tracking of Interferers Using Cooperative Spectrum Sensing. In IEEE Wireless Communications and Networking Conference, WCNC. Marrakesh, MA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kulkarni, Kedar, Norman Franchi, and Gerhard Fettweis. "Reliable Real-time Localization and Tracking of Interferers Using Cooperative Spectrum Sensing." Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, Marrakesh Institute of Electrical and Electronics Engineers Inc., 2019.
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