On SNR as a measure of performance for narrowband interference rejection in direct sequence spread spectrum systems

Author

Ansari, A. ; Viswanathan, R.

Author_Institution

Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA

Volume

43

Issue

38020

fYear

1995

Firstpage

1318

Lastpage

1322

Abstract

The usefulness of SNR as a figure of merit to quantify the narrowband interference rejection capability of a DS receiver is examined. The interference considered is a peaked autoregressive Gaussian process. The probability of error and SNR estimates of a Kalman, a modified Kalman, and a nonlinear filter proposed by Vijayan and Poor (see ibid., vol.38, no.7, p.1060, 1990) are obtained by simulation. Based on this simulation study and the available theoretical error rate analysis of transversal filters, we can conclude that SNR is a useful measure if the processing gain, PG, of the DS system is moderately large. When the PG is small, such as 7, and if thermal noise is negligible compared to the signal, the SNR is not a reliable measure of performance.<>

Keywords

Gaussian processes; Kalman filters; autoregressive processes; error statistics; filtering theory; interference suppression; nonlinear filters; phase shift keying; probability; pseudonoise codes; radio receivers; spread spectrum communication; thermal noise; BPSK; DS receiver; Kalman filter; SNR; direct sequence spread spectrum systems; error probability; error rate analysis; modified Kalman filter; narrowband interference rejection; nonlinear filter; peaked autoregressive Gaussian process; performance; processing gain; simulation; thermal noise; transversal filters; Analytical models; Error analysis; Gain measurement; Gaussian processes; Interference; Kalman filters; Narrowband; Nonlinear filters; Signal to noise ratio; Transversal filters;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.380177

Filename

380177