Improved data model of TR-UWB system using multichannel autocorrelation receivers under NBI

Abstract

Transmitted reference Ultra-wideband (TR-UWB) system in conjunction with autocorrelation receivers (AcR) is a popular low cost and low complexity radio system for low and mid-data rate applications. The scheme is in general robust against multipath fading. At the receiver front-end, however, both the desired UWB signal and narrowband interference (NBI) can enter to the radio receiver in which case several co-terms and cross-terms are produced after correlation. Previous studies provided an approximate data model of TR-UWB under NBI. However, analytically computed covariance matrix based on the approximate data model showed inferior performance to that of the estimated covariance matrix when used to compute bit error rate (BER) by using linear minimum mean squared error (MMSE) method. In this paper we provide an improved data model taking into account some of the neglected factors in the previous data model derivation. Finally, we show that the analytic covariance matrix derived from the improved data model achieves a closely matching BER with that achieved by the estimated covariance matrix.