Technical Program

Paper Detail

Paper:SAM-P6.9
Session:Space-Time Processing for Communications
Time:Thursday, May 20, 09:30 - 11:30
Presentation: Poster
Topic: Sensor Array and Multichannel Signal Processing: Array calibration methods
Title: A ROBUST ITERATIVE ALGORITHM FOR WIRELESS MIMO ARRAY AUTO-CALIBRATION
Authors: Nathaniel B. Shelton; Brigham Young University 
 Brian Jeffs; Brigham Young University 
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, is an extension of a previous algorithm proposed by Friedlander and Weiss. 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.
 
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