Large-area object search and recovery using sector-based aerial acousto-optic scanning and reflection sensing

Monish R. Chatterjee; Salaheddeen G. Bugoffa

doi:10.1117/12.2229024

13 June 2016 Large-area object search and recovery using sector-based aerial acousto-optic scanning and reflection sensing

Monish R. Chatterjee, Salaheddeen G. Bugoffa

Author Affiliations +

Proceedings Volume 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV; 98421C (2016) https://doi.org/10.1117/12.2229024
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

A sector-based angular scanning system intended to identify and spatially locate relatively small objects scattered over a large terrain is described in this paper. The system is modeled as a planar surface on the horizontal (XY) plane, with an acousto-optic Bragg cell on board an unmanned aerial vehicle (UAV) operating in the XZ plane. The Bragg cell is excited by a chirped RF signal with a designed frequency ramp. As the scanning beam reflects off the horizontal surface, a detector placed strategically at a suitable altitude (in the analysis shown to be on board the UAV itself) picks up the reflected wave and thereafter evaluates the refractive index of the material at the location using the Fresnel reflection coefficient. For large area coverage, the UAV makes alternate 180-degree turns at the end of each row-scan, thereby after several row scans, a practical surface area is covered. The usefulness and limitations of this scanning method are discussed.

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Monish R. Chatterjee and Salaheddeen G. Bugoffa "Large-area object search and recovery using sector-based aerial acousto-optic scanning and reflection sensing", Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98421C (13 June 2016); https://doi.org/10.1117/12.2229024

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KEYWORDS

Bragg cells

Unmanned aerial vehicles

Photodetectors

Reflection

Refractive index

Acousto-optics

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