W-band radiometer for target radiometric characterization

被引:0
作者
Wu L. [1 ]
Peng S.-S. [1 ]
Xiao Z.-L. [1 ]
Xu J.-Z. [1 ]
机构
[1] School of Electronic and Optical Engineering, Nanjing University of Science & Technology, Nanjing
来源
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2016年 / 38卷 / 07期
关键词
Allan variance; Radiometer; Radiometric characterization; Sensitivity;
D O I
10.3969/j.issn.1001-506X.2016.07.04
中图分类号
学科分类号
摘要
In view of the requirement for target radiometric characterization and the problems of the dual-channel noise-adding radiometer like the complicated video signal processing circuits, and the lack of quantitative analysis for the stable observation time, an improved W-band radiometer is proposed for radiometric characterization. A video signal processing approach based on the direct digital acquisition is employed to reduce the complexity and strengthen the flexibility of the system. The object brightness temperature measurement equation is established and the system theoretical sensitivity is derived by combining the short periodic calibration technique and Allan variance analysis. Also the stable observation time is determined by the stability evaluation of the system. The experimental results show that the sensitivity of a designed radiometer is 0.3 K with an integration time of 1 s, the available stable observation time is able to reach to 40 s and the difference between the measurement and theoretical calculation of the sky brightness temperature is less than 2.6 K within a zenith angle range of 0°~70°. The overall performances of the proposed system are superior to that of the dual-channel noise-adding radiometer. © 2016, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码:1502 / 1507
页数:5
相关论文
共 15 条
[1]  
Nian F., Yang Y.J., Wang W., Et al., Research on microwave and millimeter wave radiometer wideband brightness temperature calibration system, Systems Engineering and Electronics, 33, 4, pp. 750-754, (2011)
[2]  
Xiao Z.L., Hu T.Y., Xu J.Z., Et al., Millimetre-wave radiometric imaging for concealed contraband detection on personnel, IET Image Processing, 5, 5, pp. 375-381, (2011)
[3]  
Yu W., Chen X., Wu L., Segmentation of concealed objects in passive millimeter-mave images based on the Gaussian mixture model, Journal of Infrared, Millimeter, and Terahertz Waves, 36, 4, pp. 400-421, (2015)
[4]  
Uzunkol M., Gurbuz O.D., Goluck F., Et al., A 0.32 THz SiGe 4×4 imaging array using high-efficiency on-chip antennas, IEEE Journal of Solid-State Circuits, 48, 9, pp. 2056-2066, (2013)
[5]  
Peichl M., Dill S., Rudolf D., SUMIRAD: a low-cost fast millimeter-wave radiometric imaging system, Proc. of SPIE Passive and Active Millimeter-Wave Imaging XVI, (2013)
[6]  
Yeom S., Lee D.S., Jang Y., Et al., Real-time concealed-object detection and recognition with passive millimeter wave imaging, Optics Express, 20, 9, pp. 9371-9381, (2012)
[7]  
Ulaby F.T., Moore R.K., Fung A.K., Microwave Remote Sensing-active and Passive: Microwave Remote Sensing Fundamentals and Radiometry, 1, (1981)
[8]  
Alimenti F., Bonafoni S., Leone S., Et al., A low-cost microwave radiometer for the detection of fire in forest environments, IEEE Trans. on Geoscience and Remote Sensing, 46, 9, pp. 2632-2643, (2008)
[9]  
Lynch J.J., Nagele R.G., Flicker noise effects in noise adding radiometers, IEEE Trans. on Microwave Theory and Techniques, 59, 1, pp. 196-205, (2011)
[10]  
Peng S.S., Wu L., Ying X.H., Et al., A receiver in a millimeter wave radiometer for atmosphere remote sensing, Journal of Infrared, Millimeter, and Terahertz Waves, 30, 3, pp. 259-269, (2009)