Algorithms for channel impairment mitigation in broadband wireless communications

Abstract

Broadband wireless communications has been well recognized as one of the most potential strategies to integrate various high-data-rate and quality communication applications such as high-speed wireless internet, broadcasting and mobile communication services under a common system infrastructure. To mitigate the detrimental effects of channel impairments on such receivers, this thesis proposes several algorithms for estimating and compensating these impairments in early and recent broadband wireless systems such as frequency hopping (FH) and orthogonal frequency division multiplexing (OFDM) ones, respectively. In particular, a novel maximum likelihood (ML)-based scheme is proposed for joint interference rejection and symbol detection in FH systems. For SISO/MIMO-OFDM systems, recursive least square (RLS)-based approaches are proposed for joint channel estimation and synchronization in both uncoded and coded transmissions. The performance of the proposed algorithms has been validated through numerous computer simulations.