Oversampled blind MLSDE receiver
H. Zamiri-Tafarian, S. Pasupathy · 2002
Oversampled blind maximum likelihood sequence detection and estimation (MLSDE) is proposed to improve the performance and robustness of the MLSDE receiver. The performance of the MLSDE receiver depends firmly on the assumed channel model and available knowledge about the channel parameters at the receiver. A deterministic channel model is used to enhance the robustness of the receiver in a dynamic environment such as mobile communications. Oversampled joint channel estimation and data detection is proposed to improve the receiver performance which approaches the performance of the receiver knowing the channel parameters completely. The estimation part of the oversampled MLSDE leads to an RLS-type algorithm for additive colored Gaussian noise which becomes the noise model in the oversampling method. Bandwidth efficiency is achieved by using blind channel estimation (i.e. no training sequence) and two-level differentially encoded quadrature phase shift keying modulation scheme with 16 points constellation (16-DQPSK).