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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Honig, M.L. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA (Honig, M.L.) |
| Abstract | Minimum mean squared error (MMSE) detection has been proposed for direct sequence-code division multiple access (DS-CDMA) systems. The MMSE detectors are near-far resistant, and can be adapted with standard adaptive algorithms without knowledge of user parameters (i.e., spreading codes). These algorithms rely on a known training sequence for initial adaptation, and subsequently switch to a decision-directed mode. After the switch, the performance of the adaptive algorithm may degrade substantially if a strong interferer suddenly appears (i.e., if power control is relaxed). We present a "rescue" algorithm that monitors for sudden changes in the signal space, which may be caused by the appearance of a strong interferer. If a new interferer is detected, decision-directed adaptation is suspended, and an estimate of the optimal filter coefficients is obtained without a training sequence. It is shown that in the presence of low-level background noise, a good estimate can be obtained within a few symbol intervals. A numerical example is given which illustrates the performance of the rescue algorithm in a synchronous DS-CDMA system. |
| Starting Page | 1057 |
| Ending Page | 1060 |
| File Size | 391563 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780324315 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1995.480416 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-05-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interference suppression Switches Multiaccess communication Adaptive algorithm Detectors Code standards Degradation Power control Filters Background noise |
| Content Type | Text |
| Resource Type | Article |
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