This work considers low-complexity, reliable estimation methods for wireless communication systems. Reliable frequency offset estimation is vital for suppressing inter-carrier interference in orthogonal frequency division multiplexing (OFDM) systems. This work develops highly-accurate, low-complexity frequency estimators for OFDM systems through application of the best linear unbiased estimator (BLUE) principle, both within each transmission band and across all transmission bands. Additionally, this work presents synchronization detection, coarse timing, and fine timing estimators for multi-band OFDM (MB-OFDM) systems. Parameter optimization for the proposed synchronization methods is also introduced. Finally, this work considers distributed estimation in wireless sensor networks and proposes, by introducing an approximation to the inverse cumulative Gaussian CDF, a low-complexity, reduced-bandwidth distributed estimation scheme. The proposed scheme achieves substantial complexity reduction while retaining performance similar to that of the existing method. |