Abstract
In this paper we discuss the performance of a correlator based frequency estimator (CE). The estimator is statistically analysed for single-tone frequency estimation for an additive white Gaussian noise (AWGN) channel. The CE is a maximum likelihood estimator (ML) [7] which theoretically achieves the Cramer-Rao lower bound (CRB) [7] if properly implemented. Frequency estimates on the received single-tone signal are made by correlating the received signal with a locally generated signal by varying the frequency, and maximizing the energy at the output of the correlator. The statistical distribution of the frequency estimates, made by the CE is studied; we consider four different cases as discussed in the paper for the distribution, whilst providing simulation results to verify the analysis.
| Original language | English |
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| Title of host publication | 2004 International Conference on Signal Processing and Communications, SPCOM |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 169-173 |
| Number of pages | 5 |
| ISBN (Print) | 0780386744, 9780780386747 |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | 2004 International Conference on Signal Processing and Communications, SPCOM - Bangalore, India Duration: 11 Dec 2004 → 14 Dec 2004 |
Other
| Other | 2004 International Conference on Signal Processing and Communications, SPCOM |
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| Country/Territory | India |
| City | Bangalore |
| Period | 11/12/04 → 14/12/04 |