Scientists improve tracking capabilities through pioneering signal processing research.
Target Detection will receive a vital boost thanks to pioneering signal processing research.
A new method for processing signals to find and track difficult-to-detect targets has been developed by a consortium of scientists led by Professor Jonathon Chambers from the University of Leicester's Department of Engineering.
The new research, which has been funded by the Ministry of Defence's Defence Science and Technology Laboratory (Dstl) and the Engineering and Physical Sciences Research Council (EPSRC), uses a novel mathematical approach called a polynomial matrix decomposition in order to analyse multiple broadband signals.
"Signal processing is used frequently in the modern world, such as in radar, sonar and electro-optic applications," explains Professor Chambers. "This has a variety of uses in defence, including detecting anomalous behaviour, dangerous chemicals in the environment and so on. Better processing of this information can also have a considerable impact on cyber defence and security by being able to detect and in certain instances pre-empt anomalies."
More than 150 research outputs have been developed as part of the consortium which has attracted a further 12M [pounds sterling] in research funding beyond the initial 4M [pounds sterling] provided by Dstl and the EPSRC, highlighting the demand for the innovative technology.
The research has been carried out by a consortium as part of the University Defence Research Collaboration (UDRC), composed of a group of six universities and eight companies which works to deliver faster and more robust algorithms to extract useful information from sensor data, allowing for timely and better-informed military decision-making.
The UDRC provides the Ministry of Defence with access to a high-quality and current academic talent pool and strengthens the links between the Higher Education sector and government.
The current phase of the UDRC is a five-year, 11.5 million [pounds sterling] programme addressing the topic of 'Signal processing in a...