Advanced Search
Volume 40 Issue 7
Jul.  2018
Turn off MathJax
Article Contents
JIANG Tao, ZHAO Kai, WAN Xiangkun. Research on Detection Methods to Periodic Pulsed Interference for L Band Microwave Radiometer in Time Domain[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1539-1545. doi: 10.11999/JEIT170954
Citation: JIANG Tao, ZHAO Kai, WAN Xiangkun. Research on Detection Methods to Periodic Pulsed Interference for L Band Microwave Radiometer in Time Domain[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1539-1545. doi: 10.11999/JEIT170954

Research on Detection Methods to Periodic Pulsed Interference for L Band Microwave Radiometer in Time Domain

doi: 10.11999/JEIT170954
Funds:

The Special Program for Science and Technology Basic Work of the Ministry of Science and Technology, China (2014FY201800-4)

  • Received Date: 2017-10-18
  • Rev Recd Date: 2018-03-27
  • Publish Date: 2018-07-19
  • L-band passive microwave remote sensing is an effective method for detection of soil moisture and ocean salinity. However, spectrum pollution from Global Positioning System (GPS), radar and electromagnetic radiation from some commercial electronic products can interfere with the detection of microwave radiometers, it results in a certain deviation to the ground observation, and reduces the retrieval accuracy of the surface parameters. Pulsed noise interference is simulated by experiment, its transmission characteristics in L-band (total power receiver) microwave radiometer system is observed, the correlation between the characteristics of the output signal and the radiometer parameters (integrating time and sensitivity) is analyzed, its digital characteristic parameters are obtained. Combining the method of Asynchronous Pulse Blanking (APB), a new AutoCorrelation Detection (ACD) algorithm is proposed, which can detect periodic pulsed radiation interference effectively. In the case that microwave radiometer system integrating time is 1 ms, it can detect the noise interference of 1.5 K, which meets the requirement of precision of surface parameters retrieved by satellite remote sensing.
  • loading
  • ULABY F T, MOORE R K, and FUNG A K. Microwave Remote SensingMicrowave Remote Sensing Fundamentals and Radiometry[M]. Beijing: Science Press, 1988: 37-39.
    [2] LE VINE D M, JOHNSON J T, and PIEPMEIER J. RFI and remote sensing of the earth from space[C]. Radio Frequency Interference, Socorro, USA, 2016: 49-54. doi: 10.1109/ RFINT.2016.7833530.
    [3] ZHAO Tianjie, SHI Jiancheng, BINDLISH R, et al. Refinement of SMOS multiangular brightness temperature toward soil moisture retrieval and its analysis over reference targets[J]. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2015, 8(2): 589-603. doi: 10.1109/JSTARS.2014.2336664.
    LU Hailiang, LI Qingxia, LI Yan, et al. A study of L-band radio frequency interference over China based on SMOS data [J]. Journal of Microwave, 2016, 32(1): 86-91. doi: 10.14183 /j.cnki.1005-6122.201601019.
    [5] SOLDO Y, LE VINE D M, MATTHAEIS P D, et al. L-band RFI detected by SMOS and Aquarius[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7): 4220-4235. doi: 10.1109/TGRS.2017.2690406.
    [6] KORNBERG M, OLIVA R, FAUSTE J, et al. SMOS payload status after six years in orbit operational and thermal performance, calibration strategy & RFI management[C]. 14th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, Espoo, Finland, 2016: 14-18. doi: 10.1109/MICRORAD.2016.7530495.
    [7] MOHAMMED P N, AKSOY M, PIEPMEIER J R, et al. SMAP L-band microwave radiometer: RFI mitigation prelaunch analysis and first year on-orbit observations[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(10): 6035-6047. doi: 10.1109/TGRS.2016.2580459.
    [8] NIAMSUWAN N, JOHNSON J T, and ELLINGSON S W. Examination of a simple pulse blanking technique for RFI mitigation[J]. Radio Science, 2005, 40(5): RS5S03-1-RS5S03-5. doi: 10.1029/2004RS003155.
    [9] GÜNER B and JOHNSON J T. Performance study of a cross-frequency detection algorithms for pulsed sinusoidal RFI in microwave radiometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(7): 2899-2908. doi: 10.1109/TGRS.2010.2043532.
    [10] RUF C S, STEVEN M G, and MISRA S. RFI detection and mitigation for microwave radiometry with an agile digital detector[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(3): 694-706. doi: 10.1109/TGRS.2005. 861411.
    [11] BALLING J E, SØBJÆRG S S, KRISTENSEN S S, et al. RFI detected by kurtosis and polarimetry: Performance comparison based on airborne campaign data[C]. 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, Rome, Italy, 2012: 1-4. doi: 10.1109/MicroRad.2012.6185255.
    [12] PARK H, GONZÁLEZ-GAMBAU V, CAMPS A, et al. Improved MUSIC-based SMOS RFI source detection and geolocation algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 54(3): 1311-1322. doi: 10.1109/ TGRS.2015.2477435.
    [13] WU Li, ZHU Jiaqi, LÜ Yan, et al. Detection of radiometer radio frequency interference with Power-Law detector[C]. International Applied Computational Electromagnetics Society Symposium, Suzhou, China, 2017: 1-2.
    [14] HU Fei, PENG Xiaohui, HE Feng, et al. RFI mitigation in aperture synthesis radiometers using a modified CLEAN algorithm[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(1): 13-17. doi: 10.1109/LGRS.2016.2622760.
    [15] SOLDO Y, MATTHAEIS P D, and LE VINE D M. L-Band RFI in Japan[C]. Radio Frequency Interference, Socorro, USA, 2016: 111-114. doi: 10.1109/RFINT.2016.7833542.
    LU Dajin. Random Process and Its Application[M]. Beijing: Tsinghua University Press, 2002: 491-497.
    STEVEN M K. Fundamentals of Statistical Signal Processing Estimation and Detection Theory[M]. Beijing: Publishing House of Electronics Industry, 2006: 501-508.
    SUN Hongyan and ZHAO Kai. Study of noise coupled digital auto-gain compensative microwave radiometer[J]. Journal of Beijing University of Posts and Telecommunications, 2007, 30(5): 100-104. doi: 10.3969/j.issn.1007-5321.2007.05.023.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1569) PDF downloads(51) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return