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Signal processing for communications

Successful operation of any communication system is heavily reliant on channel estimation and synchronization. These have been significant issues in the LTE (4G) communication systems. This will especially be the case for the fifth generation (5G) of wireless communication. These have also been the main issues in underwater communications. In the latter case, efficient channel models are required for investigation of Physical Layer (PHY) techniques. Most efficient receivers are built using joint channel estimation and detection. More advanced signal processing techniques however require paying much attention to their complexity, and practical low-complexity techniques are of especial interest.

Projects

• Channel Estimation and Detection for LTE
• Low-Complexity Adaptive Algorithms
• Sparse Signal Representation
• Joint Channel Estimation and Detection (Mohammed Kashoob)
• Underwater Acoustic Communications (Jianhui Li)
• Underwater Channel Modelling and Acoustic Imaging (Benjamin Henson)
• Smart Dust for Large Scale Underwater Wireless Sensing
• Advanced Signal Processing Techniques for Underwater Acoustic Imaging
• Self-Interference Cancellation for Full-Duplex Underwater Acoustic Systems
• Multi-Antenna Underwater Acoustic Communication Systems
• Development of real-time UWA communication modem