A novel ultra-wideband weighted ATR receiver based on MMSE estimation for localization applications

Abstract

Impulse ultra-wideband (UWB) system has accurate localization as well as low to medium rate communication, so it is especially suitable in many emerging cyber sensor network applications which often need localization services. Due to implementation complexity concerns, UWB transmitted-reference (TR) receivers become a good choice for above applications recently. In this paper, considering the multipath components segment distribution characteristic of UWB received signals, a novel UWB weighted averaged TR receiver based on minimize-mean-square-error (MMSE) estimation is presented by using segmentation-weighting-combination idea. Those segments which hold the intensive multipath signals are given the bigger weight coefficients, so that more useful multipath energy are captured meanwhile the noise product term is highly suppressed, thus the bit-error-rate (BER) performance of the receiver is efficiently improved. The suitable weight coefficients are obtained by using MMSE estimation via training data sequence. This receiver was analyzed in theory and simulated in IEEE CM3 indoor multipath channel. The results show that it has superior detect performance compared with a common averaged TR receiver. The receiver can be used for a lot of cyber sensor network applications with localization capability.