NDLI: Performance of MIMO: CM and semi-blind cases

Content Provider	IEEE Xplore Digital Library
Author	Kozick, R.J. Sadler, B.M. Moore, T.J.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Bucknell Univ., Lewisburg, PA, USA (Kozick, R.J.)
Abstract	We consider MIMO systems with flat fading under the quasi-static model, where the block size is on the order of tens of symbols. A relatively short block is required in mobile environments if the quasi-static model is to remain valid. To overcome the short data size, algorithms that exploit both training and signal properties are of interest. We focus on exploitation of training (semi-blind) and constant modulus (CM) signaling, and develop appropriate Cramer-Rao bounds (CRB) for these cases. The CRB provide insight into the level of training required, and show that in many scenarios increasing the number of training beyond about five symbols adds little new information. The analysis includes the impact of reduced channel rank on source estimation. The combination of semi-blind and CM is particularly informative for the short data sizes we have examined. We describe several algorithms, and compare simulated performance with the CRB on channel and source estimation. Both blind (ACMA) and semi-blind (scoring) approaches that exploit the CM property are compared. Using ACMA as a blind initialization, the scoring estimates can approach the semi-blind CM CRB.
Starting Page	309
Ending Page	313
File Size	364331
Page Count	5
File Format	PDF
ISBN	078037858X
DOI	10.1109/SPAWC.2003.1318972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Computer aided software engineering Fading Wireless communication Scattering Data models Additive noise Laboratories Powders Milling machines
Content Type	Text
Resource Type	Article

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