Selective update euclidean direction search algorithm for adaptive filtering in indoor wireless rake-receiver

For high data rate propagation and indoor obstacles in wireless ultra-wideband (UWB) communication systems, the signal fading and noises are influencing the performance of the wireless systems. In this paper, the rake-receiver was presented with the spread signal by time-hopping spread spectrum (TH-SS) technique. The adaptive filter used in rake-receiver structure was shown with adjusting the receiver tap weights using Euclidean Direction Search (EDS) algorithm to support the weak signals by noise cancellation. To minimize the data convergence speed and to reduce the computational complexity by the previous algorithms, a well-known approach of selective-updates (SU) adaptive filter was employed with algorithms, such as sequential-selective, periodic-selective, and M-max-selective in the proposed system. The simulation results of bit error rate (BER) versus signal-to-noise ratio (SNR) are illustrated to show the performance of selective-update algorithm that has nearly comparable performance with the full update adaptive filters.