The Signal Research Program focuses on receiver signal processing, detection and decoding of communication signals in practical wireless channels. The team strive to build intelligent, high-performance wireless receivers capable of recovering speech and data transmitted under practical channel effects and challenging system constraints.
Our competence areas include joint channel tracking and signal equalization in fast multi-path channels, blind synchronization (time, frequency, oversampling ratio), receivers for short-burst communication and impulsive noise channels, Turbo (iterative) receivers with reduced complexity, multi-antenna communication techniques, soft decoders for error correction, signal recovery in blind multi-user interference channels, etc. Our facilities and resources include software re-configurable radios, communication and speech codecs, and related software modules.
The team has achieved the following:
- A patent on a method to perform pilot-aided channel estimation (CE) and equalization for high-rate communication over fast fading multipath channel without excessive pilot insertion.
- A multi-user detection algorithm which blindly separates multiple communication signals that interfere in both time and frequency domains.
- An effective turbo equalizer (TEQ) that demodulates single-carrier transmission over multipath channels corrupted by impulse noise. Compared to the conventional Gaussian-noise equalizers, the proposed TEQ provides a gain of up to 4.5dB.
- A set of new training waveforms for use by constant-envelope communication systems such as continuous phase modulation (CPM) system. The training waveform is scalable in length and has auto-correlation property that is near perfect.
- A method of recovering erased data packets in a lossy multi-hop network, achieved by space-time network coding. This network code is an improvement over the state of the art, and its performance meets the theoretical upper bound.
Assoc Prof Guan Yong Liang
Research Director (Signal Research)
Associate Professor, School of Electrical and Electronic Engineering
Phone: +65 67905875