Adaptive Hardware Systems with Novel Algorithmic Design and Guaranteed Resource Bounds
Lead Research Organisation:
Queen's University Belfast
Department Name: Sch of Electronics, Elec Eng & Comp Sci
Abstract
Digital processing of signals and images are frequently performed in many commercial electronic devices, including computer networks, mobile telephones and computer vision systems. A steady growth in demand for high functionality and reliability in devices such as mobile phones means that many different types of computer processors are used, from general purpose processors found in personal computers to computer chips designed to perform very specific tasks. However, at present there are no efficient design techniques that allow complex devices to be built up from a range of different computer processors. This means that current designs are often inefficient in terms of power usage and their responsiveness. Thus, a key requirement for the long-term exploitation of signal and image processing technologies lies in developing the increasingly complex processors that are required for high performance.This project addresses this need. It represents a rich inter-disciplinary collaboration between electronic engineers and computer scientists collectively aimed at overcoming fundamental challenges in high-performance computing applications. The proposed research builds on recent world-leading work in signal and image processing methods, techniques to assess the performance and complexity of computer software, and complex processor design techniques. A successful outcome to this research will allow new and efficient implementations of complex signal processing algorithms to support a diverse range of applications.
Organisations
Publications

Xuezheng Chu
(2012)
Software-Defined Sphere Decoding for FPGA-Based MIMO Detection
in IEEE Transactions on Signal Processing

Zheng C
(2010)
Regular-choice Petri Nets for MIMO detectors


Zheng C
(2011)
Real-Valued Fixed-Complexity Sphere Decoder for High Dimensional QAM-MIMO Systems
in IEEE Transactions on Signal Processing

Zheng C
(2011)
Tree-Based Adaptive Spatial Detection for Adaptive Modulated MIMO Systems
in SDR'11
Description | The project resulted in the design of novel architectures for new forms of mobile phone technology namely multiple-input, multiple-output (MIMO) receivers. The work has led to a follow-on grant EP/H051155/1. |
Exploitation Route | Work on MIMO could be commercially employed and processor concepts have been taken forward in other grants. |
Sectors | Aerospace Defence and Marine Digital/Communication/Information Technologies (including Software) Electronics |
Description | The work has led to the development of an optimised processor solution and techniques for implementing MIMO receivers. |
First Year Of Impact | 2010 |
Sector | Digital/Communication/Information Technologies (including Software) |
Impact Types | Economic |