0 references
Subcarrier SNR ML estimators and Cramér-Rao bounds in multicarrier transmission
2009Vol. 1, pp. 3233–3237
Abstract
In this paper, considering a multicarrier transmissions system, we propose two techniques of maximum-likelihood (ML) subcarrier signal-to-noise ratio (SNR) estimation, in both data-aided (DA) and non-data-aided (NDA) schemes, and derive the corresponding Crame¿r-Rao lower bounds (CRLBs). The channel gains and phases are assumed to be constant over the observation window and the received signal is assumed to be corrupted by additive white Gaussian noise (AWGN). The proposed SNR estimators both exploit the mutual information between the different subcarriers and reach the corresponding CRLBs, as shown by Monte-Carlo simulations.
Related Papers
- → Performance evaluation in PAPR and ICI for ISIM-OFDM systems(2014)18 cited
- → C32. Greedy power allocation algorithm for proportional resource allocation in multi-user OFDM systems(2012)15 cited
- → Mitigation of the Interference Between Odd and Even Terms in Optical Fast OFDM Scheme Based on Interleaved Multiplexing(2012)12 cited
- → Quadrature index modulated OFDM with interleaved grouping for V2X communications(2016)6 cited
- → Analysis of Intercarrier Interference Cancellation Scheme in OFDM Systems(2012)2 cited