Efficient channel estimation technique for LTE air interface

Abstract

This paper discuss the channel estimation and data detection for Long Term Evolution (LTE) air interface over time varying frequency selective channels using a modified superimposed training (SIT) sequence method. This method can be significantly improved the accuracy by exploiting time and frequency correlations between the channel frequency response coefficients (coherence time and coherence bandwidth). In SIT based channel estimation scheme, training sequence is arithmetically added to the data sequence at a desired power allocation ratio at the transmitter. At the receiver the channel estimation is done by using the same SIT sequence with iterative process. The simulation results shows that the proposed method is superior than the conventional channel estimation method (2-D pilot based method) and previous proposed SIT based method for higher order modulation and high mobility cases.