A wake-up detector for an acoustic surveillance sensor network: algorithm and VLSI implementation

Authors:
David H. Goldberg;Andreas G. Andreou;Pedro Julián;Philippe O. Pouliquen;Laurence Riddle;Rich Rosasco
Affiliations:
Johns Hopkins University, Baltimore, MD;Johns Hopkins University, Baltimore, MD;Universidad Nacional del Sur, Bahía Blanca, Argentina;Johns Hopkins University, Baltimore, MD;Signal Systems Corporation Severna Park, MD;Signal Systems Corporation Severna Park, MD
Venue:
Proceedings of the 3rd international symposium on Information processing in sensor networks
Year:
2004

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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 nano-Watts. 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.