Performance Comparison between Stereausis and Incoherent Wideband Music for Localization of Ground Vehicles

Abstract

In this paper we present experimental results company the incoherent wideband MUSIC (IWM) algorithm developed by the Army Research Laboratory (ARL) and the stereausis algorithm developed by the University of Maryland (UMD) for the purpose of performing acoustic direction-of-arrival (DOA) estimation of ground vehicles. We discuss the motivating factors behind the use of auditory-inspired techniques such as stereausis for performing localization namely robustness and low complexity. Robustness is important because the acoustic signatures of the ground vehicles can vary significantly under different environmental conditions. We know that a human with only two ears (sensors) can perform source separation and localization extremely well in complex environments (e.g., the cocktail party effect). Low complexity is important as well because the algorithm will be used in real-time unattended acoustic ground sensor applications. With the use of recently developed alphaVLSI cochlear chips, outputs from 128 auditory filter channels can be used for performing the stereausis algorithm in real time. For comparison we will use IWM as the baseline and compare the DOA results of stereausis to that of IWM. We show raw DOA results with respect to the GPS truth data of the ground vehicles and discuss issues such as accuracy robustness with respect to noise number of sensor elements computational complexity and algorithm implementation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA390069

Entities

People

  • Phil Brown
  • Shihab A Shamma
  • Tien Pham

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Acoustic Detection
  • Acoustic Detectors
  • Acoustic Signatures
  • Algorithms
  • Angle Of Arrival
  • Computational Complexity
  • Detectors
  • Frequency
  • Ground Vehicles
  • Maryland
  • Membranes
  • Military Research
  • Signal Processing
  • Universities
  • Vehicles

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.
  • Speech Processing/Speech Recognition.

Technology Areas

  • Space