Joint channel estimation and data detection under fading on reconfigurable fabric

Advanced equalization techniques are required for data transmission over fading channels in a mobile communication system. Joint data and channel estimation can be realized by employing a Viterbi detector along with channel estimators, which estimate the channel impulse response estimation over frequency selective Rayleigh fading channels. Maximum likelihood sequence detection is implemented using persurvivor processing method. Square-root solutions are proposed to combat the problems of numerical errors and round-off noise. Parallel and highly pipelined architectures are proposed for recursive least squares algorithm that acts as channel estimator and an overall architecture is proposed to implement the joint channel estimation and data detection on FPGA.