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Articles
An Improved LMS Adaptive Algorithm for Narrowband Interference Suppression in Direct Sequence Spread SpectrumPublished in
1995
DOI: 10.1109/7.395218
Volume: 31
Issue: 3
Pages: 1198 - 1201
In 1990 Vijayan and Poor proposed nonlinear predictive methods for suppressing narrowband interference in spread spectrum (SS) systems with a significant increase in signal-to-noise ratio (SNR) improvement The main drawback of their adaptive nonlinear filter is its slow convergence rate. A new adaptive least mean squares (LMS) algorithm to increase the slow convergence rate of their nonlinear adaptive filter is described. Computer simulation results are presented to support the advantages of the new filter. © 1995, IEEE. All rights reserved.
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About the journal
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
|---|---|
| ISSN | 00189251 |
| Open Access | No |
Concepts (15)
Adaptive algorithms- Adaptive filtering
- Bandwidth
- Computer simulation
- Convergence of numerical methods
- Correlators
- Signal receivers
- Signal to noise ratio
- Spread spectrum communication
- LEAST MEAN SQUARES ALGORITHM
- NARROWBAND INTERFERENCE SUPPRESSION
- NONLINEAR ADAPTIVE FILTER
- NONLINEAR PREDICTIVE METHODS
- SPREAD SPECTRUM SYSTEMS
- Interference suppression
