Yc. Jenq, DISCRETE-TIME METHOD FOR SIGNAL-TO-NOISE POWER RATIO MEASUREMENT, IEEE transactions on instrumentation and measurement, 45(2), 1996, pp. 431-434
The measurement of signal-to-noise power ratio (SNR) is of fundamental
importance in many areas of electrical engineering, such as communica
tions, signal processing, tests and measurements, circuits and systems
, etc. In this paper, we propose two algorithms for estimating the sig
nal-to-noise ratio of a noisy sinewave from discrete-time data obtaine
d by sampling the input signal, One algorithm is based on the estimati
on of the four parameters of the input sinewave, The second algorithm
is based on estimating the average noise power by averaging the square
d magnitude of the FFT bins attributed to the noise. Both methods show
excellent performance, Simulation results indicate that the four-para
meter method requires the input SNR to be at least 10 dB and the input
signal frequency not exceeding one-third of the sampling frequency, O
n the other hand, the second approach, the spectrum averaging method,
shows a remarkable robustness over a very wide range of normalized fre
quencies (with respect to the Nyquist frequency) and SNR's (well over
100 dB), This spectrum averaging method should prove to be very useful
in a wide range of applications.