L波段微波輻射計周期脈沖式干擾時域檢測方法研究
doi: 10.11999/JEIT170954 cstr: 32379.14.JEIT170954
-
①(中國科學院東北地理與農(nóng)業(yè)生態(tài)研究所 長春 130102) ②(中國科學院大學 北京 100049) ③(中國科學院長春凈月潭遙感實驗站 長春 130102)
基金項目:
科技部科技基礎(chǔ)性工作專項(2014FY201800-4)
Research on Detection Methods to Periodic Pulsed Interference for L Band Microwave Radiometer in Time Domain
-
JIANG Tao①②③ ZHAO Kai①③ WAN Xiangkun①②
Funds:
The Special Program for Science and Technology Basic Work of the Ministry of Science and Technology, China (2014FY201800-4)
-
摘要: L波段微波輻射計是探測土壤濕度和海水鹽度的有效遙感器。但是,全球定位系統(tǒng)(GPS)信號、雷達信號以及一些商用電子產(chǎn)品的電磁輻射造成的頻譜污染都可以對微波輻射計的探測造成干擾,使得被動微波遙感對地觀測結(jié)果具有一定的偏差,降低了地表參數(shù)的反演精度。該文通過實驗模擬脈沖式噪聲干擾,觀測其在L波段(全功率接收型式)微波輻射計系統(tǒng)中的傳輸特性,分析輸出信號特性與輻射計參數(shù)(積分時間、靈敏度)的相關(guān)性,獲取其數(shù)字特征參數(shù),結(jié)合脈沖檢測法(APB),提出一種新的自相關(guān)檢測(ACD)算法,能夠有效用于周期性的脈沖式輻射干擾的檢測,在微波輻射計系統(tǒng)積分時間1 ms的情況下,能夠檢測1.5 K的噪聲干擾,滿足衛(wèi)星遙感探測反演地表參數(shù)精度的需求。
-
關(guān)鍵詞:
- 微波輻射計 /
- 射頻干擾 /
- 自相關(guān)檢測 /
- 時域脈沖檢測 /
- 脈沖輻射干擾
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. -
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. -
計量
- 文章訪問數(shù): 1615
- HTML全文瀏覽量: 199
- PDF下載量: 52
- 被引次數(shù): 0