SNR估计方面的一篇不错的paper

Sophie

【文件名】:0669@52RD_SNR estimation techniques for the AWGN channel.rar
【格　式】:rar
【大　小】:416K
【简　介】:Abstract—The performances of several signal-to-noise ratio
(SNR) estimation techniques reported in the literature are
compared to identify the “best” estimator. The SNR estimators
are investigated by the computer simulation of baseband binary
phase-shift keying (PSK) signals in real additive white Gaussian
noise (AWGN) and baseband 8-PSK signals in complex AWGN.
The mean square error is used as a measure of performance. In
addition to comparing the relative performances, the absolute
levels of performance are also established; the simulated performances
are compared to a published Cramér–Rao bound (CRB)
for real AWGN and a CRB for complex AWGN that is derived
here. Some known estimator structures are modified to perform
better on the channel of interest. Estimator structures for both
real and complex channels are examined.
【目　录】:
I. INTRODUCTION
II. SYSTEM MODEL
III. SNR ESTIMATORS
IV. PERFORMANCE COMPARISONS
V. CONCLUSIONS

Sophie

【文件名】:0669@52RD_o interference ratio for TDMA cellular systems.rar
【格　式】:rar
【大　小】:531K
【简　介】:Abstract-The Signal-to-Interference ratio (SIR) has
been highlighted in the literature to be a most efficient
criterion for several methods aiming at reducing the
effects of cochannel interference, e.g. diversity recep-
tion, dynamic channel allocation and power control. In
this paper we address the problem on how to obtain
fast and accurate measurements of this parameter in
a practical context. We develop a general SIR estima-
tion technique for narrow-band cellular systems, that is
based on a signal subspace approach using the sample
covariance matrix of the received signal. Simulation re-
sults for a GSM like system show that the SIR can be
estimated to within an error of 0.3 dB after only 200
ms, or within an error of 0.1 dB after only 0.6 seconds.
【目　录】:
I. INTRODUCTION
11. SYSTEM MODEL
111. SUBSPACE BASED SIR ESTIMATOR
IV. NUMERICAL EXAMPLES
V. CONCLUSIONS