Title :
Transmission optimization with a space-time filter at low SNR wireless environment
Author :
Kim, Joonsuk ; Cioffi, John M.
Author_Institution :
STAR Lab., Stanford Univ., CA, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
We study the capacity of M multiple antenna system, when the sources are in the far-field of the array, especially at low channel SNR, in an outdoor wireless environment. When the channel has flat fading, the capacity increases as M2 times as that of a single antenna system. With a space-time filter, designed by singular-value-decomposition, the channel can be coordinated to obtain a higher receive SNR. With a coding scheme, the receive SNR is good enough to get coding gain, while the channel SNR is too low to obtain the benefits from coding
Keywords :
MIMO systems; adaptive antenna arrays; adaptive filters; array signal processing; channel capacity; encoding; fading channels; filtering theory; land mobile radio; noise; optimisation; singular value decomposition; space-time adaptive processing; MIMO capacity; channel SNR; coding gain; far-field sources; flat fading channel; low SNR wireless environment; mobile radio; multiple antenna system; outdoor wireless environment; receive SNR; singular-value-decomposition; space-time filter; transmission optimization; Channel capacity; Delay effects; Explosives; Fading; Filters; Mobile communication; Mutual information; System performance; Web and internet services; Wireless communication;
Conference_Titel :
Global Telecommunications Conference, 1999. GLOBECOM '99
Conference_Location :
Rio de Janeireo
Print_ISBN :
0-7803-5796-5
DOI :
10.1109/GLOCOM.1999.830209