Simplified Maximum Likelihood Channel Estimation Algorithm for Impulse Radio UWB

The maximum likelihood (ML) approach is a classical approach to the channel estimation problem. However, without reducing the number of parameters, the complexity is prohibitive. This paper proposes a (data-aided) DA simplified ML channel estimation algorithm based on unstructured channel model and time-hopping binary phase shift keying (TH-BPSK) modulation for impulse radio (IR) UWB systems. This approach need not estimate the multipath propagation delays and its complexity is reduced evidently. The computer simulations have been run to verify this approach proposed in this paper.