Title :
Transmission subspace tracking for MIMO communications systems
Author :
Banister, Brian C. ; Zeidler, James R.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
This paper describes the benefits of transmission subspace tracking for multiple input multiple output communications systems, and applies the concepts of previous work on adaptive transmit antenna algorithms to this problem. A specific stochastic gradient technique of subspace or "multi-mode" tracking of the independent modes of the MIMO transfer function and the application to space time coding is considered. The technique provides gains by tracking the active modes when there are more transmit than receive antennas. With the proposed algorithm, the receiver generates binary feedback selecting preferred perturbed weights, which gives the transmitter a gradient estimate useful for subspace tracking. The capacity resulting from this approach is shown by simulation
Keywords :
MIMO systems; adaptive antenna arrays; encoding; gradient methods; radio tracking; receiving antennas; stochastic processes; transfer functions; transmitting antennas; MIMO communications systems; MIMO transfer function; active modes tracking; adaptive transmit antenna algorithms; binary feedback; multi-mode tracking; multiple input multiple output systems; perturbed weights; receive antennas; receiver; space time coding; stochastic gradient technique; transmission subspace tracking; transmit antennas; Channel capacity; Equations; Filling; Large scale integration; Logic; MIMO; Matrix decomposition; Null space; Singular value decomposition; Transmitters;
Conference_Titel :
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-7206-9
DOI :
10.1109/GLOCOM.2001.965099