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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jenq-Nan Lee Jenq-Tay Yuan |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Comput. Sci., Nat. Taiwan Ocean Univ., Keelung, Taiwan (Jenq-Nan Lee) |
| Abstract | Previous work on the adaptive lattice filters for narrowband interference rejection in a direct sequence (DS) spread spectrum communication system has centered around the use of one-sided prediction only. For two-sided interpolation, that is known to achieve better interference rejection than its one-sided counterpart, only the least-mean-squared (LMS) algorithms have been considered thus far in the literature. However, the LMS algorithm has an extremely slow convergence rate. Consequently, the two-sided interpolation filters using the LMS algorithm may not be applicable for suppression of narrowband interference with a time-variant frequency. In this paper, an order-recursive QR-decomposition-based least squares lattice (QRD-LSL) interpolation filter is presented as a solution to the narrowband interference rejection in a DS spread spectrum system. Computer simulation results show that the QRD-LSL interpolation filters can achieve excellent performance in terms of convergence speed as well as SNR improvement for a multiple tone interference with random phase and second-order autoregressive (AR) interference. |
| Starting Page | 107 |
| Ending Page | 111 |
| File Size | 534922 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780365607 |
| DOI | 10.1109/ISSSTA.2000.878091 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Lattices Narrowband Least squares approximation Spread spectrum communication Adaptive filters Interference suppression Frequency Least squares methods Computer simulation |
| Content Type | Text |
| Resource Type | Article |
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