Robust Adaptive Software Radio Communication System

Dr Kun Hua and student Robert Reichel in the LTU Wireless Communication Lab.

Article by Dr Kun Hua

The Wireless Communication Lab is now available for undergraduate senior projects and graduate class projects involving Software Defined Radio.

I am using seed grant funding to develop an adaptive and robust software radio communication system with my undergraduate and graduate students. The aim is to generate an automotive embedded system to scan commercial radio stations and automatically select a station that is currently playing music, sports, a talk show, weather information, etc. This would allow users to skip commercials and listen to preferred content continuously without having to manually scan for stations. The system is designed to perform real time analysis of an audio stream through pattern recognition, data mining, nonlinear optimization, signal processing, and embedded techniques. Features and more advanced adaptation algorithms can be implemented at a later stage. In the future, with just one click, you will be able to listen to all live local games — Red Wings, Lions, Pistons, Wolverines, Spartans — whether you are driving along the coast of California or skiing in rural Colorado.

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