Abstract
Ultra wide band (UWB) communication systems occupy huge bandwidths with very low power spectral densities. In a high data rate UWB indoor communication system, the delay spread due to multipath propagation results in inter symbol interference (ISI) which can significantly increase the bit error rate (BER). The distortion and fading caused by the UWB channel and noise sources is removed by equalization which is a signal processing technique. In this work, IEEE 802.15.4a UWB channel model is used for both LOS and NLOS residential environment in a frequency range 2–10 GHz. QAM modulation is used to transmit large volume of data at a time. Equalization is carried out using zero forcing (ZF) and minimum mean square error estimation (MMSE) algorithms. MMSE algorithm shows better performance than the ZF algorithms by reducing BER.
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