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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dogan, H. |
| Copyright Year | 1997 |
| Abstract | The matrix inversion for the maximum likelihood (ML) channel estimation requires high complexity for the direct-sequence code-division multiple-access (DS-CDMA) systems. The prime motivation of the paper is to propose channel estimators that achieve mean square error (MSE) performance of ML channel estimator in an iterative manner without any matrix inversion. Therefore, two computationally efficient solutions to the problem of ML channel estimation are proposed.We compare the both algorithms in terms of the number of used iteration and show that the proposed algorithms converge the same MSE performance of the ML estimator as the increasing number of iterations. |
| File Size | 190073 |
| File Format | |
| ISSN | 10897798 |
| Volume Number | 12 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maximum likelihood estimation Channel estimation Multiaccess communication Time varying systems Fading Iterative algorithms Multiple access interference Mean square error methods Algorithm design and analysis Wireless communication DS-CDMA Expectation-maximization (EM) algorithm SAGE algorithm channel estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications |
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