Transmit beamforming with beam optimization and peak-to-average power ratio reduction for mobile underwater sensor...

Area of Science:

• Acoustic communications
• Signal processing
• Wireless networking

Background:

• Underwater acoustic networks face challenges with signal-to-noise ratio due to channel variability and feedback delays.
• Traditional beamforming requires accurate channel state information, which is difficult in mobile underwater environments.

Purpose of the Study:

• To propose an improved transmit beamforming method for underwater acoustic mobile networks.
• To address challenges of multipath interference and peak-to-average power ratio in underwater acoustic systems.

Main Methods:

• Developed a novel transmit beamforming algorithm for underwater acoustic mobile networks.
• Jointly suppressed sidelobes to mitigate multipath interference.
• Reduced the peak-to-average power ratio.

Main Results:

• The proposed method achieved superior beampatterns at desired angles compared to traditional methods.
• Demonstrated lower bit error rates in simulations and field experiments.
• Showed robustness and insensitivity to mobile node movement.

Conclusions:

• The novel transmit beamforming method enhances performance in underwater acoustic mobile networks.
• The technique effectively mitigates multipath interference and power variations.
• Validated through simulations and a near-real-time field experiment in the Songhua River.