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Project Spisa - Signal Processing Intelligent Sensor Applications

Lupe

Wireless Sensors for intelligent Signal Processing

Note: The German page contains some more material on Spisa.
Spisa is a wireless sensor with a sensing device to measure various kinds of analog signals, for instance temperature or audio. Spisa is intelligent in that it can analyse and process the collected data. When employed in a signal processing sensor network, it can solve highly complex signal processing problems.

Recent advances in embedded systems: the signal controllers
Spisa is based on the recent advances in embedded systems, the so called signal controllers. Embedded systems are complete mini-computers on a single microchip (microcontroller). The signal controllers have an additional signal processing hardware unit, thus they can efficiently compute matrix multiplications, which are essential for signal processing.

Signal processing sensor networks
Spisa consists of a signal controller and a seperate tranceiver chip that works on the ISM-Band (Industrial, Scientific, and Medical Band). It operates at fairly low data rates about 100 kiloBits/second. The focus is not to transfer large amounts of data, as the sensor data is processed on the sensors themselves. If a sensor does not have sufficient computational performance for a signal processing task, it may ask other sensors for distributively completing the task. The software architecture of Spisa is designed to optimize interactions between the signal processing alogorithms and the networking protocols.

Application in education and research
Spisa intends to supply ground work for future applications that employ signal processing sensors, including weather and climate forecasting or exploration of unknown planets. It may serve as a tool for researchers and students in the field of signal processing, wireless communication, and embedded systems. Spisa is applied in our Wavelet Lab "IV Messdatenverarbeitung mit Wavelets". It helps the students to test and develop their Wavelet algorithms directly on a small device. Thereby, the students gather experience in data engineering and embedded systems.

Acknowledgement
We are especially greatful for the help of Yang Liu, who developed the wireless interface for Spisa.

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