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DEWC Systems and the Australian Institute for Machine Learning (AIML) have agreed to partner on research to better detect radio signals in complex environments.
DEWC Systems and the University of Adelaide’s Australian Institute for Machine Learning (AIML) have announced the commencement of a partnership to better understand how to apply artificial intelligence and machine learning to detect radio frequencies in difficult environments using MOESS and Wombat S3 technology.
As of yet, both organisations have already undertaken significant research on Phase 1 of the Miniaturised Orbital Electronic Sensor System (MOESS) project with the collaboration hoping to enhance the research yet further.
The original goal of the MOESS was to develop a platform to perform an array of applications and develop an automatic signal classification process. The Wombat 3 is a ground-based version of the MOESS.
Chief technology officer of DEWC Systems Dr Paul Gardner-Stephen will lead the project, which hopes to develop a framework for AI-enabled spectrum monitoring and automatic signal classification.
“Radio spectrum is very congested, with a wide range of signals and interference sources, which can make it very difficult to identify and correctly classify the signals present. This is why we are turning to AI and ML, to bring the necessary algorithmic power necessary to solve this problem,” Gardner-Stephen said.
"This will enable the creation of applications that work on DEWC’s MOESS and Wombat S3 (Wombat Smart Sensor Suite) platforms to identify unexpected signals from among the forest of wireless communications, to help defence identify and respond to threats as they emerge.”
According to Gardner-Stephen, both the MOESS and Wombat 3 platforms are highly capable software defined radio (SDR) platforms with onboard artificial intelligence and machine learning processors.
“Since the project is oriented around creating an example framework, using two of DEWC Systems’ software-defined radio (SDR) products, both DEWC Systems and AIML can create the kinds of improved situation awareness applications that use those features to generate the types of capabilities that will support defence in their mission,” he explained.
“In addition to directly working towards the creation of an important capability, it will also act to catalyse awareness of some of the kinds of applications that are possible with these platforms.”
Chief executive of DEWC Systems Ian Spencer noted that the company innovates with academic institutions to develop leading technology.
“Whilst we provide direction and guidance of the project, AIML will be bringing their deep understanding and cutting-edge technology of AI and machine learning. This is what DEWC Systems does. We collaborate with universities and other industry sectors to develop novel and effective solutions to support the ADO,” Spencer said.
It is hoped that the technology developed throughout the partnership will support machine learning and artificial intelligence needs of Defence.
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