Nonlinear prediction of mobile radio channels: Measurements and MARS model designs

@misc{citeulike:1902905, abstract = {The rapid time variation of mobile radio channels is often modeled as a random process with second order moments reflecting vehicle speed, bandwidth and the scattering environment. These statistics typically show that there is little room for prediction of channel properties such as received power or complex taps of the impulse response coefficients, at least when linear predictor structures are considered. We use mutual information estimation to measure statistical dependencies in sequences of ...}, author = {Ekman, T. and Kubin, G. }, citeulike-article-id = {1902905}, keywords = {channels, design, mars, mobile, model, nonlinear, prediction, radio}, posted-at = {2007-11-12 14:11:34}, priority = {2}, title = {Nonlinear prediction of mobile radio channels: Measurements and MARS model designs}, url = {http://citeseer.ist.psu.edu/ekman99nonlinear.html}, year = {1999} }

TY - GEN ID - citeulike:1902905 L3 - citeulike-article-id:1902905 TI - Nonlinear prediction of mobile radio channels: Measurements and MARS model designs N2 - The rapid time variation of mobile radio channels is often modeled as a random process with second order moments reflecting vehicle speed, bandwidth and the scattering environment. These statistics typically show that there is little room for prediction of channel properties such as received power or complex taps of the impulse response coefficients, at least when linear predictor structures are considered. We use mutual information estimation to measure statistical dependencies in sequences of ... KW - channels KW - design KW - mars KW - mobile KW - model KW - nonlinear KW - prediction KW - radio AU - Ekman, T AU - Kubin, G PY - 1999/// UR - http://citeseer.ist.psu.edu/ekman99nonlinear.html ER -