Sensor network performance modeling for weapon locating

Stephen A. Harman; Vincent P. Calloway; Neil Wallace; Carole Murray; Andrew L. Hume; Dean A. Beale

doi:10.1117/12.541347

9 August 2004 Sensor network performance modeling for weapon locating

Stephen A. Harman, Vincent P. Calloway, Neil Wallace, Carole Murray, Andrew L. Hume, Dean A. Beale

Proceedings Volume 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII; (2004) https://doi.org/10.1117/12.541347
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

This paper describes the development of a tool that predicts the coverage and performance of sensor networks. Specifically it examines weapon locating radars and acoustic sensors in different terrain and weather conditions. The computer environment and multiple sensor models are presented. Fusion of sensors takes multiple predicted accuracy metrics from the single sensor performance models and combines them to show networked performance. Calculations include Cramer-Rao lower bound computation of the sensors and the fused sensors source location error. Results are presented showing the outputs of the models in the form of sensor accuracy maps superimposed onto terrain maps.

Citation Download Citation

Stephen A. Harman, Vincent P. Calloway, Neil Wallace, Carole Murray, Andrew L. Hume, and Dean A. Beale "Sensor network performance modeling for weapon locating", Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); https://doi.org/10.1117/12.541347

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available