Joint Spatial and Spectral Localization of OFDM Sources with Noncoherent Arrays
Localizing users in an orthogonal frequency-division multiple access (OFDMA) system without the knowledge of their subcarrier assignments poses a unique challenge. This problem arises in non-cooperative situations where the localizing algorithm does not have access to the OFDMA multiple access layer. In this paper we propose a clustering-based algorithm for joint spatial and spectral localization of OFDMA users with noncoherent arrays. The proposed method consists of three step. First, each array estimates the direction-of-arrival (DOA) of a potential source in every subcarrier. Next, the potential source's position is estimated via multiangulation of these per-subcarrier DOAs. Finally a clustering step identifies the source occupying each subcarrier and combines subcarrier-wise position estimates to form the aggregate estimate. Simulation results are included to illustrate the performance of the proposed algorithm.
Publication Source (Journal or Book title)
2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
Naraghi-Pour, M., & Ikuma, T. (2018). Joint Spatial and Spectral Localization of OFDM Sources with Noncoherent Arrays. 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings https://doi.org/10.1109/GLOCOM.2018.8647995