Multiuser Channel Estimation and Tracking for Long Code CDMA Systems

Simple item page
dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleIEEE Transactions on Communicationsen_US
dc.contributor.authorBhashyam, Srikrishnaen_US
dc.contributor.authorAazhang, Behnaamen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:37:00Zen_US
dc.date.available2007-10-31T00:37:00Zen_US
dc.date.issued2002-01-15en_US
dc.date.modified2003-11-09en_US
dc.date.submitted2001-09-20en_US
dc.descriptionJournal Paperen_US
dc.description.abstractChannel estimation techniques for code-division multiple access (CDMA) systems need to combat multiple access interference (MAI) effectively. Most existing estimation techniques are designed for CDMA systems with short repetitive spreading codes. However, current and next generation wireless systems use long spreading codes whose period is much larger than the symbol duration. In this paper, we derive the maximum likelihood channel estimate for long code CDMA systems over multipath channels using training sequences and approximate it using an iterative alogrithm to reduce the computational complexity in each symbol duration. The iterative channel estimate is also shown to be asymptotically unbiased. The effectiveness of the iterative channel estimator is demonstrated in terms of squared error in estimation as well as the bit error rate performance of a multistage detector based on the channel estimates. The effect of error in decision feedback from the multistage detector (used in the absence of training sequences) is also shown to be neglible for reasonable feedback error rates using simulations. The proposed iterative channel estimation technique is also extended to track slowly varying multipath fading channels using decision feedback. Thus, an MAI resistant multiuser channel estimation and tracking scheme with reasonable computational complexity is derived for long code CDMA systems over multipath fading channels.en_US
dc.description.sponsorshipTexas Advanced Technology Programen_US
dc.description.sponsorshipNokiaen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationS. Bhashyam and B. Aazhang, "Multiuser Channel Estimation and Tracking for Long Code CDMA Systems," <i>IEEE Transactions on Communications,</i> 2002.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/TCOMM.2002.800808en_US
dc.identifier.urihttps://hdl.handle.net/1911/19730en_US
dc.language.isoengen_US
dc.subjectcode-division multiple access (CDMA)en_US
dc.subjectmultiple access interference (MAI)en_US
dc.subjectiterative channel estimationen_US
dc.subject.keywordcode-division multiple access (CDMA)en_US
dc.subject.keywordmultiple access interference (MAI)en_US
dc.subject.keyworditerative channel estimationen_US
dc.titleMultiuser Channel Estimation and Tracking for Long Code CDMA Systemsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bha2000May1MultiuserC.PDF
Size:
306.73 KB
Format:
Adobe Portable Document Format
Download
Collections
ECE Publications