Subjects
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-Abstract
Recently, the code division multiple access (CDMA) technique has become the most widely communication technique, because of its varity of applications. The well-known matched filter (MF) is considered as the optimum filter that recovers the CDMA signals. However; its performance recently becomes unsatisfying. This is due to increasing the multiple access interference (MAI), in addition to the other channel impairments such as the fading or the multi path interference (MPI). In this paper, an adaptive minimum mean square error-maximum likelihood (MMSE-ML) receiver is presented as an alternative solution to overcome the drawbacks of the MF receiver. This adaptive MMSE-ML receiver uses adaptive aided tentative coefficients in addition to the basic adaptive coefficients to increase the tracking ability of the channel impulse response variations. The performance of the adaptive MMSE-ML receiver is compared with the traditional adaptive MMSE receiver over a frequency selective fading channel. Moreover, the performances of both the presented and traditional adaptive receivers are compared with the performance of the MF under the same condition. It is found that the performance of the adaptive MMSE-ML receiver is much improved using the proposed technique.
DOI
10.21608/asat.2009.23523
Keywords
Code division multiple access (CDMA), minimum mean square error-maximum likelihood (MMSE-ML), matched filter (MF), multiple access interference (MAI), least mean square (LMS), single user matched filter (SUMF)
Authors
Affiliation
Egyptian Armed Forces.
Email
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-Orcid
-Affiliation
Egyptian Armed Forces.
Email
-City
-Orcid
-Article Issue
AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT- 13, May 26 – 28, 2009
Link
https://asat.journals.ekb.eg/article_23523.html
Detail API
https://asat.journals.ekb.eg/service?article_code=23523
Publication Title
International Conference on Aerospace Sciences and Aviation Technology
Publication Link
https://asat.journals.ekb.eg/
MainTitle
Performance Evaluation of Adaptive MMSE Receivers in Frequency Selective Fading Channels Using Aided Tentative Coefficients