Recursive state optimization using min-max approach for channel estimation in MIMO system

Abstract

Signal estimation and its performance has always remained a challenge for wireless communication society. New techniques were developed for channel diversity and spectrum utilization. In this paper a new estimation approach based on Kalman state stabilization is proposed min-max, to achieve the objective of higher performance in MIMO system, using time variant interference modeling. A generic approach for channel estimation for interference mitigation in MIMO communication system is proposed min-max. The suggestive analytical framework develops the correlation of fading channel over the space-frequency domain and non-stationary features of the channel interference to perform channel estimation for minimizing interference.