Improved NLMS based MMSE adaptive detection algorithm for IR-UWB systems

Several normalized least mean square (NLMS) based minimum mean square error (MMSE) adaptive detection algorithms have been proposed in recent years in order to mitigate the inter symbol interference (ISI) in the ultra wideband (UWB) systems. In this paper, we propose an improved NLMS (INLMS) based MMSE adaptive detection algorithm that can choose different step size adaptively and can solve the conflicting requirement of existing NLMS based algorithms. Simulation results show that bit error rate (BER) performance of the proposed algorithm is better than existing algorithms with the same training sequence length. Also when the training sequence length is longer than the steady state length of existing algorithms, the BER performance of the proposed algorithm can be improved by increasing the training sequence length which can't be achieved by existing algorithms.