IEEE Personal Communications · 1998 · 205 citations · 31 references
EngineeringCommunicationElectrical EngineeringAntennasPropagationWireless CommunicationsAntenna ArraysAntenna DesignBeam SteeringBeamformingSmart AntennasWireless Channel ModelingAdaptive AntennasAdaptive EqualizationChannel ModelingJoint OptimizationMultipathMultipath FadingMultipath Fading MitigationSpatial Channel Modeling
An adaptive antenna array, or smart antenna, forms and controls desired patterns via software and functions as an adaptive filter in space and time, extending conventional communication theory beyond the time domain. The study introduces a spatial–temporal communication theory built on adaptive antenna arrays, encompassing channel modeling, equalization, optimal detection for single- and multi‑user CDMA, transmitter precoding, and joint transmitter–receiver optimization. The approach employs adaptive antenna arrays to perform spatial and temporal channel modeling, equalization, optimal detection, transmitter precoding, and joint optimization of transmitter and receiver. Such spatial and temporal processing promises significant improvement of performance against multipath fading in mobile radio communications.
An adaptive antenna array or a smart antenna is named a software antenna because it can form a desired antenna pattern and adaptively control it if an appropriate set of antenna weights is provided and updated in software. It can be a typical tool for realizing a software radio. An adaptive antenna array can be considered an adaptive filter in the space and time domains for radio communications, so communication theory can be generalized from a conventional time domain into both space and time domains. This article introduces a spatial and temporal communication theory based on an adaptive antenna array, such as spatial and temporal channel modeling, equalization, optimum detection for single-user and multi-user CDMA, precoding in a transmitter, and joint optimization of both transmitter and receiver. Such spatial and temporal processing promises significant improvement of performance against multipath fading in mobile radio communications.
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