Interference rejection in DS/SS-systems with an improved RLS-whitening filter

Author

SAARNISAARI, Harri

Author_Institution

Telecommun. Lab., Oulu Univ., Finland

Volume

6

fYear

2001

fDate

2001

Firstpage

1871

Abstract

The Huber (1964) m-estimation principle is applied, in a simple way, to improve the interference mitigation capability of the recursive least squares (RLS) whitening interpolation filter, implemented either in the basic or linear phase form. The simulation results show that in the code phase estimation the robust linear phase RLS interpolation filter mitigates interference more than the regular RLS and linear phase RLS interpolation filters, especially if the bandwidth of the interference is narrow (<23%) when compared to the bandwidth of the direct sequence signal used. It is also shown that whitening does not significantly decrease the code phase estimation accuracy of the matched filter estimator

Keywords

delay estimation; filtering theory; interference suppression; interpolation; least squares approximations; linear phase filters; matched filters; parameter estimation; phase estimation; radiofrequency interference; recursive estimation; spread spectrum communication; DS/SS-systems; Huber m-estimation; Huber postconditioning; RLS whitening interpolation filter; RLS-whitening filter; code phase estimation accuracy; delay estimator; direct sequence signal; interference bandwidth; interference rejection; linear phase RLS interpolation filter; linear phase filter; matched filter estimator; recursive least squares; simulation results; Bandwidth; Interference; Interpolation; Kalman filters; Lattices; Matched filters; Nonlinear filters; Phase estimation; Resonance light scattering; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2001. ICC 2001. IEEE International Conference on

Conference_Location

Helsinki

Print_ISBN

0-7803-7097-1

Type

conf

DOI

10.1109/ICC.2001.937115

Filename

937115