Title
Discriminating Multiple Nearby Targets Using Single-Ping Ultrasonic Scene Mapping
Abstract
We present a software simulation and a hardware proof of concept for a compact low-power lightweight ultrasonic echolocation design that is capable of imaging a 120° field of view with a single ping. The sensor uses a single transmitter and a linear array of ten microphones, followed by a bank of eight spatiotemporal filters to determine the bearing angle of returned echoes. The sensor is capable of detecting multiple objects with a single omnidirectional ping, even if their echoes interfere with each other at the microphone array. The hardware implementation detects the bearing of nearby objects with an rms accuracy of 1.6° and can reliably detect a 70-cm-long 5-cm-diameter metal table leg at a range of 3 m. Stronger reflectors, such as building corners, can be reliably detected at a range of 9 m.
Year
DOI
Venue
2010
10.1109/TCSI.2010.2050229
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
Field
DocType
echo suppression,microphone arrays,remotely operated vehicles,microphones,multiple nearby targets,omnidirectional ping,single-ping ultrasonic scene mapping,size 5 cm,size 70 cm,spatiotemporal filters,transmitter,ultrasonic echolocation,unmanned aerial vehicles,Bearing estimation,echolocation,sonar,ultrasonic mapping,unmanned aerial vehicle (UAV) navigation and control
Field of view,Transmitter,Ultrasonic sensor,Ping (video games),Electronic engineering,Sonar,Artificial intelligence,Human echolocation,Computer vision,Omnidirectional antenna,Microphone array,Acoustics,Mathematics
Journal
Volume
Issue
ISSN
57
11
1549-8328
Citations 
PageRank 
References 
1
0.39
10
Authors
2
Name
Order
Citations
PageRank
Orchard, G.1243.77
Ralph Etienne-Cummings210.39