Channel estimation methods for diversity and MIMO in LR-WPAN systems

MIMO and diversity techniques can increase data rates or robustness against transmission errors in low rate wireless personal area networks (LR-WPAN). These techniques require knowledge of the channels, which is preferably obtained from the received preamble of the physical layer data packet. This paper compares the performance and complexity of training sequence based channel estimation methods. Three methods, based on m-sequences and Hadamard matrices are proposed and compared with respect to performance and hardware complexity.