MIMO channel statistics and signal processing in mode-division multiplexing systems
2015 IEEE 16th International Workshop on Signal Processing …, 2015•ieeexplore.ieee.org
We review channel models for mode-division multiplexing (MDM) systems, the statistics
derived from them, and their implications for system performance and complexity. We
present the fundamentals of architectures and algorithms for multi-input multi-output (MIMO)
equalization. With careful physical link design and judicious choice of signal processing
architectures, the challenges of MIMO signal processing can be overcome in MDM systems.
derived from them, and their implications for system performance and complexity. We
present the fundamentals of architectures and algorithms for multi-input multi-output (MIMO)
equalization. With careful physical link design and judicious choice of signal processing
architectures, the challenges of MIMO signal processing can be overcome in MDM systems.
We review channel models for mode-division multiplexing (MDM) systems, the statistics derived from them, and their implications for system performance and complexity. We present the fundamentals of architectures and algorithms for multi-input multi-output (MIMO) equalization. With careful physical link design and judicious choice of signal processing architectures, the challenges of MIMO signal processing can be overcome in MDM systems.
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