Simulation of Vehicle Acoustics In Support of Netted Sensor
Research and Development
September 2006
Carol T. Christou, The MITRE Corporation
Garry M. Jacyna, The MITRE Corporation
ABSTRACT
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.
Additional Search Keywords
N/A
|
