| The tremendous growth of the wireless industry along with the limitations of its resources has made modeling and mitigation of the wireless channel a subject of paramount importance. Specifically, joint mitigation of time-selective and frequency-selective fading is an important and challenging problem in mobile communications. Relying on transmitter-induced redundancy using filterbanks, we have developed novel channel estimation and symbol recovery approaches for blind identification and equalization of time- and frequency-selective channels, where the time variation is modeled deterministically by a basis expansion. The resulting algorithms enable the usage of a single antenna, dispense with channel disparity conditions of existing approaches, and allow for channel order overestimation.; To model and mitigate fading channels, estimation of the statistical channel parameters is also needed. These parameters include, local average power, maximum Doppler spread, the Ricean K factor, shadow variance and correlation distance, all of which are crucial in assessing link quality in wireless systems. We have developed novel estimators for these parameters, and assessed their performance using analytical tools. |
