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Hamming Distance Optimized Underwater Acoustic OTFS-IM Systems [PDF]

open access: yesEntropy, 2023
The orthogonal time frequency space (OTFS) modulation technique can provide reliable communication in time-varying channels. Due to the dispersive characteristics of underwater acoustic channels, this paper proposes an OTFS-IM underwater acoustic ...
Xiaopeng Guo   +4 more
doaj   +2 more sources

Integrated Sensing and Communication Using Random Padded OTFS with Reduced Interferences [PDF]

open access: yesSensors
The orthogonal time frequency space (OTFS) is a modulation designed to transmit data in high Doppler channels where the usage of the orthogonal frequency division multiplexing (OFDM) is challenging. The random padded OTFS (RP-OTFS) modulation, introduced
Pavel Karpovich, Tomasz P. Zielinski
doaj   +2 more sources

OTFS Radar Waveform Design Based on Information Theory [PDF]

open access: yesEntropy
In this work, we consider the waveform design for radar systems based on orthogonal time–frequency space (OTFS). The conditional mutual information (CMI), chosen as a promising metric for assessing the radar cognitive capability, serves as the criterion ...
Qilong Miao   +3 more
doaj   +2 more sources

Signal Detection Based on Separable CNN for OTFS Communication Systems [PDF]

open access: yesEntropy
This paper proposes a low-complexity signal detection method for orthogonal time frequency space (OTFS) communication systems, based on a separable convolutional neural network (SeCNN), termed SeCNN-OTFS. A novel SeparableBlock architecture is introduced,
Ying Wang   +4 more
doaj   +2 more sources

Bit Error Rate Performance Improvement for Orthogonal Time Frequency Space Modulation with a Selective Decode-and-Forward Cooperative Communication Scenario in an Internet of Vehicles System [PDF]

open access: yesSensors
Orthogonal time frequency space (OTFS) modulation has recently found its place in the literature as a much more effective waveform in time-varying channels.
Selman Kulaç, Müjdat Şahin
doaj   +2 more sources

Integrated Sensing and Communication via Orthogonal Time Frequency Space Signaling with Hybrid Message Passing Detection and Fractional Parameter Estimation [PDF]

open access: yesSensors, 2023
For the orthogonal time frequency space (OTFS) modulation, we generally multiplex symbols on a new type of carrier waveform in the delay-Doppler (DD) domain.
Ji Zhang, Leqi Cai, Huanyou Liu
doaj   +2 more sources

A Structured Sparse Bayesian Channel Estimation Approach for Orthogonal Time—Frequency Space Modulation [PDF]

open access: yesEntropy, 2023
Orthogonal time–frequency space (OTFS) modulation has been advocated as a promising waveform for achieving integrated sensing and communication (ISAC) due to its superiority in high-mobility adaptability and spectral efficiency.
Mi Zhang   +6 more
doaj   +2 more sources

Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory [PDF]

open access: yesSensors
Target detection is a core function of integrated sensing and communication (ISAC) systems. The traditional likelihood ratio test (LRT) target detection algorithm performs inadequately under low signal-to-noise ratio (SNR) conditions, and the performance
Qilong Miao   +4 more
doaj   +2 more sources

General I/O Relations and Low-Complexity Universal MRC Detection for All OTFS Variants

open access: yesIEEE Access, 2022
Orthogonal time frequency space (OTFS) is a recently proposed modulation scheme which multiplexes information symbols in the delay-Doppler domain to combat severe Doppler shifts in high mobility wireless communications. In this paper, we classify all the
Tharaj Thaj, Emanuele Viterbo, Yi Hong
doaj   +1 more source

OTFS-enabled integrated sensing and communication techniques for next-generation V2X networks

open access: yes工程科学学报, 2023
The vehicle-to-everything (V2X) network has the potential to revolutionize the way we interact with vehicles and the surrounding. By utilizing innovative information and communication technologies, V2X networks can connect human beings, vehicles ...
Chunlei SUN, Linpei LI, Haijun ZHANG
doaj   +1 more source

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