Mr. Christian G. Reiff Profile

Christian G. Reiff

Electrical Engineer at US Army Research Lab

SPIE Involvement:

Author

Publications (10)

PROCEEDINGS ARTICLE | May 22, 2013

Source localization results for airborne acoustic platforms in the 2010 Yuma Proving Ground test

Proc. SPIE. 8742, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IV

KEYWORDS: Sensors, Error analysis, Sensor performance, Refraction, Meteorology, Acoustics, Atmospheric propagation, Atmospheric sensing, Commercial off the shelf technology, Source localization

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PROCEEDINGS ARTICLE | May 24, 2012

Acoustic data analysis and scenario over watch from an aerostat at the NATO SET-153 field experiment

Proc. SPIE. 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III

KEYWORDS: Signal to noise ratio, Unmanned aerial vehicles, Imaging systems, Cameras, Sensors, Video, Video surveillance, Surveillance, Acoustics, Global Positioning System

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PROCEEDINGS ARTICLE | May 24, 2012

Source localization corrections for airborne acoustic platforms based on a climatological assessment of temperature and wind velocity profiles

Proc. SPIE. 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III

KEYWORDS: Sensors, Atmospheric corrections, Refraction, Meteorology, Acoustics, Atmospheric propagation, Atmospheric sensing, Climatology, Source localization, Atmospheric modeling

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PROCEEDINGS ARTICLE | May 23, 2011

Localization using ground- and air-based acoustic arrays

Proc. SPIE. 8047, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II

KEYWORDS: Signal to noise ratio, Detection and tracking algorithms, Error analysis, Fourier transforms, Chromium, Signal processing, Analytical research, Algorithm development, Acoustics, Global Positioning System

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PROCEEDINGS ARTICLE | May 5, 2009

Acoustic source localization and cueing from an aerostat during the NATO SET-093 field experiment

Proc. SPIE. 7333, Unattended Ground, Sea, and Air Sensor Technologies and Applications XI

KEYWORDS: MATLAB, Detection and tracking algorithms, Cameras, Sensors, Lab on a chip, Meteorology, Acoustics, Signal detection, Artillery, Source localization

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PROCEEDINGS ARTICLE | May 4, 2007

Aerostat acoustic payload for transient and helicopter detection

Proc. SPIE. 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI

KEYWORDS: Signal to noise ratio, Detection and tracking algorithms, Imaging systems, Sensors, Interference (communication), Acoustics, Atmospheric propagation, Signal detection, Artillery, Unattended ground sensors

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PROCEEDINGS ARTICLE | May 19, 2006

NATO TG-53: acoustic detection of weapon firing joint field experiment

Proc. SPIE. 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII

KEYWORDS: Weapons, Homeland security, Seismic sensors, Sensors, Telecommunications, Explosives, Acoustics, Artillery, Sensor technology, Unattended ground sensors

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PROCEEDINGS ARTICLE | May 2, 2006

Acoustic detection and localization from a tethered aerostat during the NATO TG-53 test

Proc. SPIE. 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII

KEYWORDS: Weapons, Sensors, Interference (communication), Wave propagation, Refraction, Meteorology, Acoustics, Signal detection, Artillery, Global Positioning System

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PROCEEDINGS ARTICLE | April 1, 2003

CB detection and early warning--fusing disparate sensors into the detection process: program overview

Proc. SPIE. 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003

KEYWORDS: Information fusion, Roads, Detection and tracking algorithms, Cameras, Sensors, Computer intrusion detection, Biological detection systems, Acoustics, Artillery, Situational awareness sensors

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Improved situational awareness is a primary goal for the Objective Force. Knowing where the enemy is and what are the threats to his troops provides the commander with the information he needs to plan his mission and provide his forces with maximum protection from the variety of threats that are present on the battlefield. Sensors play an important role in providing critical information to enhance situational awareness. The sensors that are used on the battlefield include, among others, seismic, acoustic, and cameras in different spectral ranges of the electro-magnetic spectrum. These sensors help track enemy movement and serve as part of an intrusion detection system. Characteristically these sensors are relatively cheap and easy to deploy. Chemical and biological agent detection is currently relegated to sensors that are specifically designed to detect these agents. Many of these sensors are collocated with the troops. By the time alarm is sounded the troops have already been exposed to the agent. In addition, battlefield contaminants frequently interfere with the performance of these sensors and result in false alarms. Since operating in a contaminated environment requires the troops to don protective garments that interfere with their performance we need to reduce false alarms to an absolute minimum. The Edgewood Chemical and Biological Center (ECBC) is currently conducting a study to examine the possibility of detecting chemical and biological weapons as soon as they are deployed. For that purpose we conducted a field test in which the acoustic, seismic and electro-magnetic signatures of conventional and simulated chemical / biological artillery 155mm artillery shells were recorded by an array of corresponding sensors. Initial examination of the data shows a distinct differences in the signatures of these weapons. In this paper we will provide detailed description of the test procedures. We will describe the various sensors used and describe the differences in the signatures generated by the conventional and the (simulated) chemical rounds. This paper will be followed by other papers that will provide more details information gained by the various sensors and describe how fusing the data enhance the reliability of the CB detection process.

PROCEEDINGS ARTICLE | April 1, 2003

Discrimination of chemical/biological versus high-explosive artillery rounds using acoustic and seismic data fusion

Proc. SPIE. 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003

KEYWORDS: Infrared cameras, Infrared sensors, Seismic sensors, Sensors, Wavelets, Head, Explosives, Acoustics, Artillery, Data fusion

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Showing 5 of 10 publications

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