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- W2644292011 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." @default.
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- W2644292011 date "2016-12-01" @default.
- W2644292011 modified "2023-09-24" @default.
- W2644292011 title "Recursive state optimization using min-max approach for channel estimation in MIMO system" @default.
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- W2644292011 doi "https://doi.org/10.1109/icgtspicc.2016.7955310" @default.
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