Multi-sensor Iterative Decision Feedback Equalization Based on Joint Channel Parameters Estimation

For the joint equalization problem of multi-sensor signals over frequency selective fading channels, a new iterative decision feedback equalization scheme is proposed based on joint channel parameters estimation. Firstly, the multi-sensor joint equalization structure is proposed following iterative block decision feedback equalizer (IBDFE), and the equalizer coefficients are computed under minimum mean square error (MMSE) criterion. In each iteration, given the new equalizer output, multiple unknown channel parameters are jointly estimated by means of variational Bayesian (VB) based on minimum relative entropy criterion. The proposed approach operates iteratively between channel estimation and multiple channel equalization. Finally, the performance of the proposed algorithm is analyzed by computer simulations.