학술논문
A wake-up detector for an acoustic surveillance sensor network: algorithm and VLSI implementation
Document Type
Conference
Source
Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004 Information processing in sensor networks Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on. :134-141 2004
Subject
Language
Abstract
We describe a low-power VLSI wake-up detector for use in an acoustic surveillance sensor network. The detection criterion is based on the degree of low-frequency periodicity in the acoustic signal. To this end, we have developed a periodicity estimation algorithm that maps particularly well to a low-power VLSI implementation. The time-domain algorithm is based on the "bumpiness" of the autocorrelation of one-bit version of the signal. We discuss the relationship of this algorithm to the maximum-likelihood estimator for periodicity. We then describe a full-custom CMOS ASIC that implements this algorithm. This ASIC is fully functional and its core consumes 835 nanoWatts. The ASIC was integrated into an acoustic enclosure and tested outdoors on synthesized sounds. This unit was also deployed in a three-node sensor network and tested on ground-based vehicles.