TY - JOUR
AU - 
AB - In this work an iterative time domain Least Squares (LS) based channel estimation method using superimposed training (ST) for a Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system over time varying frequency selective fading channels is proposed. The performance of the channel estimator is analyzed in terms of the Mean Square Estimation Error (MSEE) and its impact on the uncoded Bit Error Rate (BER) of the MIMO-OFDM system is studied. A new selection criterion for the training sequences that jointly optimizes the MSEE and the BER of the OFDM system is proposed. Chirp based sequences are proposed and sh
TI - Optimal Superimposed Training Sequences for Channel Estimation in MIMO-OFDM Systems
JF - EURASIP Journal on Advances in Signal Processing
DO - 10.1155/2010/140506
DA - 2010-05-06
UR - https://www.deepdyve.com/lp/wiley/optimal-superimposed-training-sequences-for-channel-estimation-in-mimo-t0eMyQtG0p
VL - 2010
IS - 2010
DP - DeepDyve
ER -