Adaptive Windowed Statistical Selection Rake for Long Ultra-Wideband Multipath Channels

Abstract

Under ultra-wideband indoor channels, the characteristic of fine multipath resolution allows Rake collectors to combine the multipaths as well as to maximize the signal-to-noise ratio effectively. However, the presence of long multipaths in ultra-wideband channels usually gives rise to severe interference at the receiver end. Hence, the performance of the received signals cannot be improved further because the conventional Rake receivers do not take into account the long multipath effect. In this paper, we propose to shorten the long multipath propagation by minimizing the variance of the distribution of the received signals. The new proposed statistical selection Rake receiver is capable of selecting the most significant combining paths in order to achieve a minimum variance distribution. Further improvement has been done to reduce the computational complexity by introducing two different type of adaptive windowed statistical selection schemes. The performance of all proposed schemes has been simulated under ultra-wideband IEEE P802.15.3a standard channel models. From the results, the proposed Rake receivers are able to minimize the long multipath effect significantly by achieving more than 50% reduction of the variance distribution as compared to the other Rake receivers.