2025_programme: Uplink multi-user underwater acoustic orthogonal frequency division multiplexing communication based on vertical vector sensor array
- Day: June 20, Friday
Location / Time: C. THALIA at 08:30 - 08:50
- Last minutes changes: -
- Session: 29. Underwater Communication Navigation and Positioning
Organiser(s): N/A
Chairperson(s): Angeliki Xenaki
- Lecture: Uplink multi-user underwater acoustic orthogonal frequency division multiplexing communication based on vertical vector sensor array
Paper ID: 2213
Author(s): Wei Men, Bowen Dong, Lu Zhang, Yanan Tian
Presenter: Wei Men
Abstract: Uplink multi-user communication is one of the key technologies for establishing underwater acoustic sensor networks. However, due to the long propagation delay and extremely narrow available bandwidth of underwater acoustic (UWA) channels, time-division multiple access and frequency-division multiple access techniques struggle to achieve ideal multi-user data transmission performance. To overcome this challenge, space-division multiple access is adopted to study an uplink multi-user UWA communication method based on a vertical vector sensor array. Compared to traditional pressure sensor arrays, the vector sensor arrays, which offer array gain, can achieve satisfactory communication performance with a smaller array aperture. This avoids the beam pointing errors and signal mismatches caused by the decrease in spatial channel coherence of large-aperture arrays. In particular, a maximum likelihood-based joint angle-delay channel estimation method is researched to acquire the channel state information (CSI) for each user. To enhance the desired user signal and suppress interference from other users, the vector sensor-wideband-null steering (VS-WB-NS) beamforming method and the beamforming method based on main path or multipath combination are thoroughly researched for different application scenarios. The performance of the uplink multi-user communication system is analyzed with the South China Sea acoustic channel. Simulation results show that, under a signal-to-noise ratio (SNR) of 20 dB, the proposed method reduces the mean square error of data detection by 14 dB compared to traditional pressure sensor arrays. Furthermore, a 10−5 bit error rate level is achieved in a three-user UWA communication using a 24-element vector sensor array, even at an SNR as low as 0 dB.
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This paper is a candidate for the "Prof. John Papadakis award for the best paper presented by a young acoustician(under 40)"
- Corresponding author: Dr Wei Men
Affiliation: Department of Electronic Engineering, Tsinghua University
Country: China