Modeling and Prediction of the Wireless Vector Channel Encountered by Smart Antenna Systems
نویسندگان
چکیده
A Kalman-filter based, vector autoregressive (VAR) model is used to forecast mobile user uplink spatial signatures and improve downlink signal-to-interference ratio in timedivision duplex (TDD) systems. Results are presented from computational electromagnetic (CEM) simulations of a smart antenna system operating at 1.8 GHz in an urban microcellular environment.
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