Paper
1 May 2009 Distributed radar network for real-time tracking of bullet trajectory
Author Affiliations +
Abstract
Gunshot detection, sniper localization, and bullet trajectory prediction are of significant importance in military and homeland security applications. While the majority of existing work is based on acoustic and electro-optical sensors, this paper develops a framework of networked radar systems that uses distributed radar sensor networks to achieve the aforementioned objectives. The use of radio frequency radar systems allows the achievement of subtime- of-flight tracking response, enabling to response before the bullet reaches its target and, as such, effectively leading to the reduction of injuries and casualties in military and homeland security operations. The focus of this paper is to examine the MIMO radar concept with concurrent transmission of low-correlation waveforms from multiple radar sets to ensure wide surveillance coverage and maintain a high waveform repetition frequency for long coherent time interval required to achieve return signal concentration.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yimin Zhang, Xin Li, Yuanwei Jin, Moeness G. Amin, and Ali Eydgahi "Distributed radar network for real-time tracking of bullet trajectory", Proc. SPIE 7349, Wireless Sensing and Processing IV, 73490I (1 May 2009); https://doi.org/10.1117/12.819079
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Radar

Doppler effect

Radar signal processing

Homeland security

Acoustics

Sensor networks

Signal processing

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