Title :
A robust iterative algorithm for wireless MIMO array auto-calibration
Author :
Shelton, Nathaniel B. ; Jeffs, Brian D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Abstract :
An algorithm is presented for estimating complex transmit and receive array calibration gains in a MIMO communications system. Calibration values are computed from a series of distinct channel transfer function matrix estimates over a time-varying channel. The new method, called RIMM (robust iterative multiple-channel MUSIC), is an extension of a previous algorithm proposed by B. Friedlander and A.J. Weiss (see Proc. ICASSP, p.2681-4, 1988). Several significant weaknesses in the earlier algorithm are demonstrated, and robust solutions are presented. An auto-calibration experiment is presented using 2.43 GHz indoor channel probing data samples.
Keywords :
MIMO systems; antenna arrays; array signal processing; calibration; indoor radio; iterative methods; parameter estimation; signal classification; time-varying channels; transfer function matrices; 2.43 GHz; array calibration gain estimation; channel transfer function matrix estimates; indoor channel; robust iterative algorithm; robust iterative multiple-channel MUSIC; time-varying channel; wireless MIMO array auto-calibration; Antenna arrays; Calibration; Iterative algorithms; Iterative methods; MIMO; Mobile communication; Multiple signal classification; Robustness; Transfer functions; Transmitters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326264
