ABSTRACT

Aeroacoustics has a demonstrated capability for sensor networking applications, providing a low bandwidth sensing modality that leads to relatively low cost nodes. In battery operated conditions, where long lifetime in the field is expected, the node power budget is dominated by the cost of the communications. Sensor networks of interest are generally connected with wireless links, and are battery powered. Consequently, the node power budget may be dominated by the communications. The availability of inexpensive, low-power sensing and signal processing hardware enables application of sophisticated real-time signal processing. Acoustic-based classification is the most challenging signal processing task, due to the source non-stationarities, inherent similarities between the sources, and propagation-induced statistical fluctuations. Narrow band processing in the aeroacoustic context will limit the bandwidth to perhaps a few hertz, and the large fractional bandwidth encountered in aeroacoustics significantly complicates the array signal processing.