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A hidden chamber detector based on a MIMO SAR
Author(s): Zhonghai Wang; Xingping Lin; Xingyu Xiang; Zhe Zhang; Zhi Tian; Khanh Pham; Erik Blasch; Genshe Chen
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Paper Abstract

This paper presents a hidden chamber detector (HCD) using radio frequency (RF) signals’ penetration and reflection characteristics. The sensor of the chamber detector is a linear frequency modulated continuous wave (LFMCW) time division multiple access (TDMA) multiple input multiple output (MIMO) synthetic aperture radar (SAR). The basic idea of the sensor system is to scan the target wall and form a 2-D image of the wall with a high depth resolution and a proper angular resolution (cross range resolution). When there is no hidden chamber behind the wall, the radar will receive reflected signals from the room wall. While if there is a hidden chamber behind the room wall, there will be reflected signals from the room wall and the hidden chamber walls. Thus, the hidden chamber can be detected using the reflected singles from the chamber walls. The gated LFMCW TDMA MIMO SAR is configured with multiple transmitting antennas and multiple receiving antennas. Each transmitting and receiving antenna pair constructs an equivalent virtual array element. All virtual array elements construct the virtual antenna array (or synthetic aperture). The virtual array oversees the angular resolution along the array direction (vertical direction), and the narrow antenna beam is in charge of the angular resolution in the cross-array direction (horizontal direction). The high depth resolution is obtained using the gated LFMCW TDMA radar. Simulations show that the hidden chamber detector can detect chambers larger than 20cm by 20cm by 20cm at a distance of 0.3m away from the room wall.

Paper Details

Date Published: 29 July 2019
PDF: 8 pages
Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 1101706 (29 July 2019); doi: 10.1117/12.2520643
Show Author Affiliations
Zhonghai Wang, Intelligent Fusion Technology, Inc. (United States)
Xingping Lin, Intelligent Fusion Technology, Inc. (United States)
Xingyu Xiang, Intelligent Fusion Technology, Inc. (United States)
Zhe Zhang, George Mason Univ. (United States)
Zhi Tian, George Mason Univ. (United States)
Khanh Pham, Air Force Research Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 11017:
Sensors and Systems for Space Applications XII
Genshe Chen; Khanh D. Pham, Editor(s)

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