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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schmidt, K. Wittneben, A. |
| Copyright Year | 1992 |
| Description | Author affiliation: Inst. fuer Ubertragungstech., Tech. Univ. Darmstadt, Germany (Schmidt, K.) |
| Abstract | A systematic approach to the complexity minimization of digital square timing recovery is discussed. It is demonstrated that, for narrowband data signals, a prefilter is mandatory to suppress the pattern noise. A least squared error approach is used to determine the tap weights of an FIR prefilter implementation. The data interpolator coefficients are optimized using a minimum mean squared error method. Two versions of the clock recovery are considered. One is based on a processing rate of two samples per symbol for the prefilter and data interpolator. The squarer and postprocessor (time extractor) part require four samples/symbol. A prefilter interpolator is used for upsampling. The other version processes four samples per symbol in all blocks. A postprocessing method is proposed, which reduces the complexity of the postprocessor block by 25% in comparison with the DFT-approach. Depending on the excess bandwidth factor r of the data signal, 15-21 multiply and accumulate operations per symbol are sufficient for a blockwise timing estimation. |
| Starting Page | 283 |
| Ending Page | 288 |
| File Size | 525827 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780306732 |
| ISSN | 10903038 |
| DOI | 10.1109/VETEC.1992.245421 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-05-10 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Timing Clocks Finite impulse response filter Sampling methods Gaussian noise Filtering theory Bandwidth Delay effects Delay estimation AWGN |
| Content Type | Text |
| Resource Type | Article |
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