Passive millimeter wave camera images, current and future

被引:0
|
作者
Mirth, L [1 ]
Pergande, A [1 ]
Eden, D [1 ]
Chu, L [1 ]
机构
[1] Lockheed Martin, Elect & Missiles, Bethesda, MD 20817 USA
关键词
D O I
10.1117/12.336976
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Rapidly improving technology is transitioning current laboratory images into reality with fielded systems expected within two years. W-band radiometers have been shown to be effective in detecting metallic and non-metallic weapons concealed under heavy garments in both outdoor and indoor situations. Systems that are in development will provide real-time display and weapon detection in controlled situations. The incorporation of technology improvements that have already been demonstrated will double the sensitivity and provide affordable systems with rapid scanning for general use. Lockheed Martin and Intelligent Machine Technology are working to build a demonstration system for the Department of Justice and the Air Force Research Laboratory that can be extended to take advantage of rapidly moving semiconductor improvements. Our current radiometer modules use a PIN switch for the Dicke calibration function followed by multiple low noise amplifier stages, a Schottky detector and a video amplifier. Sensitivity of such modules is primarily a function of the insertion loss and noise figure of the front end MMIC circuits. Processing improvements at Lockheed Martin and refined chip design will result in a 3 dB improvement in the effective noise figure within the next year. Imaging is also greatly improved by achieving greater effective bandwidth and higher operating frequency. Whereas present modules operate from 80 to 90 G Hz, MMIC improvements will provide for operation up to 140G Hz with a doubling of the bandwidth in the near term. Receiver operation up to 540G Hz has also been demonstrated at other labs.
引用
收藏
页码:44 / 52
页数:9
相关论文
共 50 条
  • [41] Passive Millimeter-Wave Imaging
    Yu. A. Pirogov
    Radiophysics and Quantum Electronics, 2003, 46 (8-9) : 594 - 603
  • [42] PASSIVE MILLIMETER-WAVE IMAGING
    APPLEBY, R
    LETTINGTON, AH
    ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL, 1991, 3 (01): : 13 - 16
  • [43] Current status of Bolocam: a large-format millimeter-wave bolometer camera
    Glenn, J
    Ade, PAR
    Amarie, M
    Bock, JJ
    Edgington, SF
    Goldin, A
    Golwala, S
    Haig, D
    Lange, AE
    Laurent, G
    Mauskopf, PD
    Yun, MH
    Nguyen, H
    MILLIMETER AND SUBMILLIMETER DETECTORS FOR ASTRONOMY, 2003, 4855 : 30 - 40
  • [44] Optimal Target-Oriented Fusion of Passive Millimeter Wave Images with Visible Images Based on Contourlet Transform
    M. R. Mosavi
    M. H. Bisjerdi
    G. Rezai-Rad
    Wireless Personal Communications, 2017, 95 : 4643 - 4666
  • [45] Optimal Target-Oriented Fusion of Passive Millimeter Wave Images with Visible Images Based on Contourlet Transform
    Mosavi, M. R.
    Bisjerdi, M. H.
    Rezai-Rad, G.
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 95 (04) : 4643 - 4666
  • [46] Data Fusion and Speed Tagging Alignment Based on Millimeter Wave Radar Detection and Camera Images
    Zhao, Fengyu
    Li, Dongying
    Yu, Wenxian
    2020 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT 2020 ONLINE), 2020,
  • [47] Passive millimeter-wave camera with interferometric processing - art. no. 65480C
    Nohmi, Hitoshi
    Ohnishi, Seiki
    Kujubu, Osamu
    Passive Millimeter-Wave Imaging Technology X, 2007, 6548 : C5480 - C5480
  • [48] Bolocam: A millimeter-wave bolometric camera
    Glenn, J
    Bock, JJ
    Chattopadhyay, G
    Edgington, SF
    Lange, AE
    Zmuidzinas, J
    Mauskopf, PD
    Rownd, B
    Yuen, L
    Ade, PAR
    ADVANCED TECHNOLOGY MMW, RADIO, AND TERAHERTZ TELESCOPES, 1998, 3357 : 326 - 334
  • [49] Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images
    Yang, Hao
    Yang, Zihan
    Hu, Anyong
    Liu, Che
    Cui, Tie Jun
    Miao, Jungang
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 33 (08) : 3872 - 3887
  • [50] Segmentation of Concealed Objects in Passive Millimeter-Wave Images Based on the Gaussian Mixture Model
    Yu, Wangyang
    Chen, Xiangguang
    Wu, Lei
    JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2015, 36 (04) : 400 - 421