An iterative channel estimation method using superimposed training for IEEE 802.16E based OFDM systems

An iterative least squares (LS) based channel estimation method for superimposed training (ST) based OFDM systems is proposed. The performance of the method is analyzed in terms of the mean squared estimation error (MSEE) and its impact on the bit error rate (BER) of the OFDM system is studied. A training sequence selection criterion that jointly optimizes the MSEE and the BER of the OFDM system also proposed. The effectiveness of the mathematical analysis presented is demonstrated through a comparison with the simulation studies. Also, the proposed scheme is applied to the IEEE 802.16e OFDM standard and a case is made with the required design of the sequence.