arXiv (Cornell University) · 2018 · 15 citations · 15 references
EngineeringCommunicationElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel EstimationChannel Performance AnalysisDigital Signal ProcessingModulationWireless Channel ModelingChannel Estimation For Fading ChannelsEfficient EstimationFade ProcessingMarkov Chain Monte Carlo EstimationModulation SchemesModulation TechniquesSparse Channel EstimationStatistical Channel Modeling
Orthogonal time frequency space (OTFS) modulation is a 2-dimensional (2D) modulation scheme designed in the delay-Doppler domain, unlike traditional modulation schemes which are designed in the time-frequency domain. Through a series of 2D transformations, OTFS converts a doubly-dispersive channel into an almost non-fading channel in the delay-Doppler domain. In this domain, each symbol in a frame experiences an almost constant fade, thus achieving significant performance gains over existing modulation schemes such as OFDM. The sparse delay-Doppler impulse response which reflects the actual physical geometry of the wireless channel enables efficient channel estimation, especially in high-Doppler fading channels. This paper investigates OTFS from a signal detection and channel estimation perspective, and proposes a Markov chain Monte-Carlo sampling based detection scheme and a pseudo-random noise (PN) pilot based channel estimation scheme in the delay-Doppler domain.
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Orthogonal Time Frequency Space Modulation
Ronny Hadani, Shlomo Rakib, Michael Tsatsanis et al. · 2017 · 1.7K citations