“Real” Signal Processing with Wireless Sensor Networks György Orosz, László Sujbert, Gábor Péceli {orosz,sujbert,peceli}@mit.bme.hu Department of Measurement and Information Systems Budapest University of Technology and Economics, Hungary Regional Conference on Embedded and Ambient Systems–RCEAS 2007 Budapest, Hungary, Nov. 22-24, 2007
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“Real” Signal Processing with Wireless Sensor Networks György Orosz, László Sujbert, Gábor Péceli {orosz,sujbert,peceli}@mit.bme.hu Department of Measurement.
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“Real” Signal Processing with Wireless Sensor
NetworksGyörgy Orosz, László Sujbert, Gábor Péceli{orosz,sujbert,peceli}@mit.bme.hu
Department of Measurement and Information SystemsBudapest University of Technology and Economics, Hungary
Regional Conference on Embedded and Ambient Systems–RCEAS 2007Budapest, Hungary, Nov. 22-24, 2007
Wireless signal processing „Real” signal processing
Fast changing signals Hard real-time operation
Advantages of Wireless Sensor Networks (WSNs) Easy to install Flexible arrangement
Difficulties of utilization of WSN: Data loss Limit of the network bandwidth Lots of autonomous systems
Sensor network from signal processing aspects Topics
Signal sensing Synchronization Distributed signal processing
ANC: a case study
mote1
moteG
DSP board
reference signalgateway
mote
codec DSP
mote2
moteN
Plant to be controlled: acoustic system
Noise sensing:
Berkeley micaz motes
Actuators: active loudspeakers
Gateway: network DSP Signal processing:
DSP board ADSP-21364 32 bit floating point 330 MHz 8 analog output channels