In this work, first the Cramer-Rao lower bound (CRLB) of the signal-to-noise
ratio (SNR) estimate for binary phase shift keying (BPSK) modulated signals in
additive white Gaussian noise (AWGN) channels is derived. All the steps and results
of this CRLB derivation are shown in a detailed manner. Two major estimation
scenarios are considered herein: the non-data-aided (NDA) and data-aided (DA)
frameworks, respectively. The non-data-aided scenario does not assume the periodic
transmission of known data symbols (pilots) to limit the system throughput, while
the data-aided scenario assumes the transmission of known transmit data symbols
or training sequences to estimate the channel parameters. The Cramer-Rao lower
bounds for the non-data-aided and data-aided scenarios are derived. In addition, the
modified Cramer-Rao lower bound (MCRLB) is also calculated and compared to the
true CRLBs. It is shown that in the low SNR regime the true CRLB is tighter than
the MCRLB in the non-data-aided estimation scenario.
Second, the Bayesian Cramer-Rao lower bound (BCRLB) for SNR estimate is
considered for BPSK modulated signals in the presence of time-selective fading channels. Only the data-aided scenario is considered, and the time-selective fading channel
is modeled by means of a polynomial function. A BCRLB on the variance of the SNR estimate is found and the simulation results are presented.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2342 |
| Date | 15 May 2009 |
| Creators | Peksen, Huseyin |
| Contributors | Qaraqe, Khalid, Serpedin, Erchin |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | electronic, application/pdf, born digital |
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