Code-aided adaptive narrowband interference suppression for direct-sequence spread-spectrum communications

H. Vincent Poor, Xiaodong Wang

Research output: Contribution to conferencePaper

5 Scopus citations

Abstract

A new and powerful method for suppressing narrow-band interference in direct-sequence spread-spectrum (DS/SS) communications systems is developed. This technique is based on the linear minimum-mean-square-error (MMSE) algorithm for multiuser detection. The NBI signal is often modeled either as a sinusoidal signal (tone) or an autoregressive (AR) signal. The NBI signal can also be a digital signal, such as would arise, for example, in a multirate signaling system. The performance of the proposed method against each of these three types of NBI is analyzed. The performance of the proposed method against NBI is then compared with the performance of some previous linear and nonlinear NBI suppression methods, and it is seen that this new method outperforms all these previous techniques of NBI suppression. The proposed NBI suppression technique can be implemented in a blind adaptive mode. A recursive-least-squares (RLS) version of this algorithm is developed. The convergence dynamics and the steady state performance of the adaptive algorithm are also analyzed.

Original languageEnglish (US)
Pages575-579
Number of pages5
StatePublished - Dec 1 1997
EventProceedings of the 1997 MILCOM Conference. Part 2 (of 3) - Monterey, CA, USA
Duration: Nov 3 1997Nov 5 1997

Other

OtherProceedings of the 1997 MILCOM Conference. Part 2 (of 3)
CityMonterey, CA, USA
Period11/3/9711/5/97

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Poor, H. V., & Wang, X. (1997). Code-aided adaptive narrowband interference suppression for direct-sequence spread-spectrum communications. 575-579. Paper presented at Proceedings of the 1997 MILCOM Conference. Part 2 (of 3), Monterey, CA, USA, .