Title :
Space-Time-Doppler coding over time-selective fading channels with maximum diversity and coding gains
Author :
Giannakis, Georgios B. ; Ma, Xiaoli ; Leus, Geert ; Zhou, Shengli
Author_Institution :
Dept. of ECE, Univ. of Minnesota, 200 Union St. SE, Minneapolis, 55455, USA
Abstract :
We rely on a Basis Expansion Model (BEM) for the channel, to design three Space-Time-Doppler (SID) codecs that enable maximum diversity gains, when block transmissions undergo time-selective fading effects. Within the constraints of each maximum-diversity design, it is also possible to achieve maximum coding gain, at least when the BEM parameters are i.i.d. The theoretical results are corroborated by simulation results and the BEM is validated.
Keywords :
Artificial neural networks; DH-HEMTs; Encoding; Frequency diversity;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745084
