DocumentCode
857308
Title
Improved space-time convolutional codes for quasi-static slow fading channels
Author
Yan, Qing ; Blum, Rick S.
Author_Institution
Signal Process. & Commun. Res. Lab., Lehigh Univ., Bethlehem, PA, USA
Volume
1
Issue
4
fYear
2002
fDate
10/1/2002 12:00:00 AM
Firstpage
563
Lastpage
571
Abstract
Space-time convolutional codes, that provide maximum diversity and coding gain, are produced for cases with PSK modulation and various numbers of states and antennas. The codes are found using a new approach introduced previously in a companion paper. The new approach provides an efficient method that allows a search for optimum codes for many practical problems. The new approach also provides a simple method for augmenting the criteria of maximum diversity and coding gain with a new measure which is shown to be extremely useful for evaluating code performance without extensive simulations. To validate the approach, an extensive set of simulation results are presented comparing the codes designed here to many other previously proposed space-time convolutional codes. The comparisons, given in terms of frame error rate (FER), indicate that our new method provides codes which yield excellent performance. The approach is especially useful for finding a handful of good codes. Selection among these codes can be made with a limited number of simulations for FER.
Keywords
Rayleigh channels; antenna arrays; antenna theory; channel coding; convolutional codes; error statistics; modulation coding; phase shift keying; FER; PSK modulation; antennas; code performance; coding gain; diversity; frame error rate; optimum codes; quasi-static slow fading channels; space-time convolutional codes; Convolutional codes; Design optimization; Diversity methods; Error analysis; Fading; Gain measurement; Measurement standards; Modulation coding; Performance gain; Phase shift keying;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2002.804076
Filename
1045287
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