L波段微波辐射计周期脉冲式干扰时域检测方法研究

姜涛; 赵凯; 万祥坤

doi:10.11999/JEIT170954

L波段微波辐射计周期脉冲式干扰时域检测方法研究

doi: 10.11999/JEIT170954

^①(中国科学院东北地理与农业生态研究所长春 130102) ^②(中国科学院大学北京 100049) ^③(中国科学院长春净月潭遥感实验站长春 130102)

基金项目:

科技部科技基础性工作专项(2014FY201800-4)

详细信息

作者简介:
姜涛：姜涛：男，1982年生，工程师，博士生，研究方向为微波辐射计研制、射频干扰检测. 赵凯：男，1962年生，研究员，研究方向为微波遥感器研制、微波遥感理论研究. 万祥坤：男，1993年生，硕士生，研究方向为微波辐射计研制.

中图分类号: TP732.1
计量
- 文章访问数: 1574
- HTML全文浏览量: 189
- PDF下载量: 51
- 被引次数: 0
出版历程
- 收稿日期: 2017-10-18
- 修回日期: 2018-03-27
- 刊出日期: 2018-07-19

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

JIANG Tao^①②③ ZHAO Kai^①③ WAN Xiangkun^①②

Funds:

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

摘要

摘要: L波段微波辐射计是探测土壤湿度和海水盐度的有效遥感器。但是，全球定位系统(GPS)信号、雷达信号以及一些商用电子产品的电磁辐射造成的频谱污染都可以对微波辐射计的探测造成干扰，使得被动微波遥感对地观测结果具有一定的偏差，降低了地表参数的反演精度。该文通过实验模拟脉冲式噪声干扰，观测其在L波段(全功率接收型式)微波辐射计系统中的传输特性，分析输出信号特性与辐射计参数(积分时间、灵敏度)的相关性，获取其数字特征参数，结合脉冲检测法(APB)，提出一种新的自相关检测(ACD)算法，能够有效用于周期性的脉冲式辐射干扰的检测，在微波辐射计系统积分时间1 ms的情况下，能够检测1.5 K的噪声干扰，满足卫星遥感探测反演地表参数精度的需求。
- 微波辐射计 /
- 射频干扰 /
- 自相关检测 /
- 时域脉冲检测 /
- 脉冲辐射干扰
Abstract: 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.
- Microwave radiometer、Radio-frequency interference、AutoCorrelation Detection (ACD)、Asynchronous Pulse Blanking (APB)、Interference of pulsed radiation /

HTML全文

参考文献(18)

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.

施引文献

资源附件(0)

访问统计