Simulation of vehicle acoustics in support of netted sensor research and development
2005
The MITRE Corporation has initiated a three-year internally-funded
research program in netted sensors, the first-year effort focusing
on vehicle detection for border monitoring. An important component
is developing an understanding of the complex acoustic structure of
vehicle noise to aid in netted sensor-based detection and
classification. This presentation will discuss the design of a
high-fidelity vehicle acoustic simulator to model the generation and
transmission of acoustic energy from a moving vehicle to a
collection of sensor nodes. Realistic spatially-dependent automobile
sounds are generated from models of the engine cylinder firing
rates, muffler and manifold resonances, and speed-dependent tire
whine noise. Tire noise is the dominant noise source for vehicle
speeds in excess of 30 miles per hour (MPH). As a result, we have
developed detailed models that successfully predict the tire noise
spectrum as a function of speed, road surface wave-number spectrum,
tire geometry, and tire tread pattern. We have also included
realistic descriptions of the spatial directivity patterns for the
engine harmonics, muffler, and tire whine noise components. The
acoustic waveforms are propagated to each sensor node using a simple
phase-dispersive multi-path model. A brief description of the
models and their corresponding outputs is provided.
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