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Mainul Islam Chowdhury

Masters by Research

Project - A reliable positioning system for underwater vehicles operating in GPS-denied underwater environments.

The positioning and navigation system is vital in providing information about the state, velocity, and environment, while an autonomous underwater vehicle (AUV) is on exploration and operations. Several enhanced techniques and frameworks have been introduced. Nevertheless, the navigation and positioning results are erratic because of the complexity of the ocean environment, random drift, noise interference, distance, and other unexpected scenarios. To enable them to operate and navigate, real-time state acquisition, precise location and velocity are necessary. Improved robustness, accuracy, and sustainability are becoming crucial as autonomous underwater vehicles (AUVs) are increasingly in demand.

The underwater noise and channel distortions are severe. The periodicity of the multi-pulse beacon signal can improve signal detection because of its robustness and spectrum characteristics in the frequency domain. The primary objective is to analyse the signal's spectrum in the frequency domain instead of the time domain, focusing on extracting the envelope of the beacon signal. Adaptive noise cancellation (ANC) needs a desired signal that must be estimated. The process involves filtering the reference input to get an estimate of the noise. Signal-to-noise ratio, mean square error, maximum absolute error, and energy ratio will be utilised to compare the error signals and output signals. Through acoustic processing of the acquired data, measurement distributions across azimuth and inclination ranges are obtained. A prompt estimate of the position between the receiver and the underwater vehicle can be obtained by combining acoustic measurements with measurements derived from the Inertial Measurement Unit (IMU). This research presents a dependable and resilient approach to pinpoint an autonomous underwater vehicle (AUV) location within a complex and noisy oceanic environment.

Research Areas and Interests

  • Wireless Sensor Network
  • Green Communication
  • Signal Processing

Qualifications

  • Bachelor of Science in Electrical & Electronics Engineering, American International University-Bangladesh (AIUB), 2021.

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Mainul Islam Chowdhury
School of Engineering
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