In recent years, there has been a huge acceleration in Machine Learning (ML) and Artificial Intelligence (AI) development. This has taken it from a concept little-appreciated outside of engineering and science circles, to something that we hear about on a daily basis. From driverless cars to intelligent home assistants, these technologies are anticipated to dramatically impact the way we live our lives. But how can we apply machine learning to the field of Electronic Warfare and what benefits will this bring?
This webinar will explore two key problems for operatives analyzing the RF spectrum: signal classification and detection of anomalous signals. Recent innovations mean that machine learning can be used to solve these problems more effectively and efficiently, freeing up operatives for more critical tasks.
Signal classification, including recognition of modulation type, is a complex problem which can be solved much more successfully with the use of trained neural nets. This allows signal types to be recognized with a very high degree of accuracy even in low Signal to Noise Ratio (SNR) conditions.
Detection of anomalous signals which indicate threat or interference is another key application which lends itself to a machine learning–based solution. Convolutional neural nets can be trained to distinguish ‘normal’ signals from anomalous signals possibly indicating a threat or unwanted interference. By training the net for a given application, it can be made to learn which signal types and anomalies are important and which are low priority.
Over the course of the webinar, Alistair Massarella will take you through the technical details of these applications and further explore the huge benefits machine learning is set to bring to the EW field.
After you register for the webinar, you will be emailed a confirmation with the link to the webinar, along with instructions on how to connect.
You can also access the webinar via free mobile apps available on iOS, Android, and Blackberry devices.
For questions, please contact Brock Sheets.
The entire presentation and Q&A will be recorded for viewing approximately 24 hours after the event. You can find the link to the recording in our AOC Virtual Series Archive. (separate registration required to view the recording)
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