In this work, we propose a novel approach to efficiently estimate multipath
channel parameters, which is particularly useful in sparse multipath chann
els. Conventional methods [1]-[4] do not fully exploit inherent structure p
resent in the combined channel response; the excess number of parameters to
be estimated by conventional methods makes the identification difficult. B
y utilizing a priori knowledge of the transmission data pulse, the channel
identification problem is transformed into the mode estimation problem. The
n, the parameters directly related to the multipath propagations are extrac
ted in the modal analysis framework, and hence, the number of estimation pa
rameters are significantly reduced. Finally, the multipath channel paramete
rs are obtained by inverse-transforming the mode parameters. Simulation res
ults show significant improvement in normalized mean square error over exis
ting approaches.