Improved matching pursuit algorithm and architecture for LTE Channel Estimation

This paper describes a novel approach to a Matched Pursuit LTE Channel Estimator. It is shown that the total complexity of the estimator can be reduced by, perhaps counter-intuitively, increasing the resolution of the estimator, since for certain choices of resolution a number of multiplication factors will be zero. An architecture is presented that implements the novel algorithm. By increasing the resolution from 2048 to 2400 points it is shown that the number of multiplications in the core unit is reduced by ~40% and the total complexity of the estimator by more than 10%. The RAM memory needed increase by ~17% since more values need to be stored, but the lookup table is reduced by ~71%.