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Broadband 3-D Sonar System Using a Sparse Array for Indoor Navigation
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AI
DOI：10.1109/TRO.2012.2221313.png)
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Abstract
En 中文
Array beamforming techniques allow for the generation of 3-D spatial filters which can be used to localize objects in a large field of view (FOV) without the need for mechanical scanning. By combining broadband beamforming with a sparse, random array of receivers, we have constructed a low-cost, yet powerful, in-air sonar system, which is suited for a wide range of robotic applications. Experimental results in unmodified office environments show the performance of the sonar sensor. In particular, we document the sensor's capacity to produce 3-D location measurements in the presence of multiple highly overlapping echoes. We show how this capability makes possible the combination of a wide FOV with accurate 3-D localization, allowing the sensor to operate under real-time constraints in realistic environments. To demonstrate the use of this sensor, we describe an odometry application that estimates egomotion of a mobile robot using acoustic flow.
Keywords:
Acoustic flow
beamforming
broadband sonar
sparse arrays
3-D sonar
ultrasonics
Journal
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