We propose to develop new non-data aided (NDA) digital feedforward symbol
timing estimators for linear and nonlinear modulations, with a view to
reducing the sampling rate of the estimators. The proposed estimators rely
on the fact that sufficient statistics exist for a signal sampled at the Nyquist
rate. We propose an ad hoc extension to the timing estimator based on the
log nonlinearity which performs better than existing estimators at this
rate when the operating signal-to-noise ratio (SNR) and the excess bandwidth
are low. We propose another alternative estimator for operating at the Nyquist
rate that has reduced self-noise at high SNR for large rolloff factors. This
can be viewed as an extension of the timing estimator based on the square law nonlinearity. For continuous
phase modulations (CPM), we propose two novel estimators that can operate at
the symbol rate for MSK type signals. Among the class of NDA feedforward
timing estimators we are not aware of any other estimator that can function
at symbol rate for this type of signals. We also propose several new estimators
for the MSK modulation scheme which operate with reduced sampling rate and are
robust to carrier frequency offset and phase offset.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/360 |
| Date | 30 September 2004 |
| Creators | Sarvepalli, Pradeep Kiran |
| Contributors | Serpedin, Erchin |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 512233 bytes, 84966 bytes, electronic, application/pdf, text/plain, born digital |
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