Discrete Kalman filter whitening in PN spread spectrum systems and in ALE processors

Author

Gupta, Ashok K.

Author_Institution

GTE Gov. Syst. Corp., Westborough, MA, USA

fYear

1988

fDate

0-0 1988

Firstpage

390

Lastpage

395

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;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on

Conference_Location

Charlotte, NC, USA

ISSN

0094-2898

Print_ISBN

0-8186-0847-1

Type

conf

DOI

10.1109/SSST.1988.17082

Filename

17082