Title :
Discrete Kalman filter whitening in PN spread spectrum systems and in ALE processors
Author_Institution :
GTE Gov. Syst. Corp., Westborough, MA, USA
Abstract :
An estimator-subtractor-type line suppressor recently (1986) proposed by the author for pseudonoise (PN) spread-spectrum applications or as an adaptive line enhancer in acoustic applications is modeled as a combined discrete state-variable Kalman filter, one-step predictor and optimal linear smoother. It is shown that the adaptive Kalman filter acts as the oscillator. However, the damping and the tuned frequency of this filter oscillator are influenced by the mean-square estimation error. Closed-form expressions are given for the estimation error of a sinusoidal process in the presence of additive broadband noise (the model of a discrete PN spread-spectrum signal).<>
Keywords :
Kalman filters; filtering and prediction theory; signal processing; white noise; additive broadband noise; discrete Kalman filter; mean-square estimation error; one-step predictor; optimal linear smoother; pseudonoise spread spectrum; white noise; Acoustic applications; Additive noise; Damping; Estimation error; Frequency estimation; Line enhancers; Oscillators; Predictive models; Spread spectrum communication; State estimation;
Conference_Titel :
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location :
Charlotte, NC, USA
Print_ISBN :
0-8186-0847-1
DOI :
10.1109/SSST.1988.17082
