Title :
A feedforward tracking filter. Part 2: Noise performance and applications
Author :
Lee, K.K. ; Le-Ngoc, T. ; Bhargava, V.K.
Author_Institution :
Concordia University, Dept of Electrical Engineering, Montreal, Canada
Abstract :
The performance of a Feedforward Tracking Filter (FTF) in the presence of white additive Gaussian noise is analysed. By studying the spectral properties and input-output signal-to-noise ratio (SNR), it is observed that the output of the nonlinear bandpass model of the FTF contains a mixture of signal and noise cross-modulation products. Due to the nonlinear effect, the FTF achieves tracking abilities at the expense of SNR. In addition, the probability density function of the phase error is evaluated. Finally, experimental results to verify the analysis and an application of the FTF to a fast carrier recovery system are presented.
Keywords :
filtering and prediction theory; modulation; probability; random noise; spectral analysis; tracking; white noise; SNR; cross-modulation products; fast carrier recovery system; feedforward tracking filter; input-output signal-to-noise ratio; nonlinear bandpass model; nonlinear effect; phase error; probability density function; spectral properties; tracking abilities; white additive Gaussian noise;
Journal_Title :
Electronic and Radio Engineers, Journal of the Institution of
DOI :
10.1049/jiere.1987.0095
