一种基于谱图SIFT的同源频谱监测数据判定方法

doi:10.11896/jsjkx.230300177

计算机科学 ›› 2024, Vol. 51 ›› Issue (6A): 230300177-7.doi: 10.11896/jsjkx.230300177

一种基于谱图SIFT的同源频谱监测数据判定方法

鲁东生^1,2, 龙华¹

1 昆明理工大学昆明 650100
2 云南省无线电监测中心昆明 650100

发布日期:2024-06-06
通讯作者: 龙华(1670931890@qq.com)
作者简介:(ludsheng@qq.com)

Method for Homologous Spectrum Monitoring Data Identification Based on Spectrum SIFT

LU Dongsheng^1,2, LONG Hua¹

1 Kunming University of Science and Technology,Kunming 650100,China
2 Radio Monitoring Center of Yunnan Province,Kunming 650100,China

Published:2024-06-06
About author:LU Dongsheng,born in 1987,postgra-duate,engineer.His main research in-terests include communication signal data processing and analysis,and radio monitoring.
LONG Hua,born in 1963,Ph.D,professor,is a member of CCF(No.B3460M).Her main research interests include radio communication and signal proces-sing.

摘要/Abstract

摘要： 随着各类无线电应用的普及,在一定空间范围内,超短波监测过程中的监测数据易受到非同源的同频或邻频信号的影响,仅依靠常规监测中的频谱数据是无法判定信号是否同源的,因而不同监测站点获得的数据缺乏关联性,数据分析结果可能产生误导,降低工作效率。依据人工监测的经验,尝试用计算机视觉等技术分析监测数据的频谱图和时频谱图,结合谱图特性引入角度阈值改进SIFT算法的特征点匹配模式,以适应无线电监测数据分析的需要,并提出以图像特征点检测匹配率为前提,利用卡帕值综合评价两种谱图同源判定结果一致性的方法。通过实验模拟和实例验证,两种谱图同源判定结果的卡帕值为0.7605,达到高度一致;同时,所提方法在实践过程中有提高工作效率的作用,具备操作可行性和实际意义。

关键词: 无线电监测, 同源判定, 特征点匹配, 图像处理, 计算机视觉, 尺度不变特征转换

Abstract: With the popularity of various radio applications,different kinds of monitoring data in the process of ultra-short wave monitoring is susceptible to the influence of non-homologous signals of the same frequency or adjacent frequency within a limited space.It is impossible to determine whether the signals are homologous or not merely relying on the frequency spectrum data in conventional monitoring,so that the data obtained from different monitoring stations lack of correlation and the data analysis results may be misleading,even affecting work efficiency.Based on the experience of manual monitoring,this paper attempts to analyze the frequency spectrum and time-frequency spectrum with computer vision technology,and introduces angle threshold to improve the feature point matching mode of SIFT algorithm in combination with the spectrum characteristics,so as to meet the needs of radio monitoring data analysis.Meanwhile,this paper puts forward a method to comprehensively evaluate the consistency of the homologous determination results of two kinds of spectra by using the Kappa on the premise of the matching rate of image feature point detection.Through experimental simulation and case validation,the Kappa of the homologous result is 0.7605,which is highly consistent.At last,the proposed methodcan improve work efficiency in practice,and has operational feasibility and practical significance.

Key words: Radio monitoring, Homologous determination, Feature point matching, Image processing, Computer vision, Scale invariant feature transform

中图分类号:

TN98

鲁东生, 龙华. 一种基于谱图SIFT的同源频谱监测数据判定方法[J]. 计算机科学, 2024, 51(6A): 230300177-7. https://doi.org/10.11896/jsjkx.230300177

LU Dongsheng, LONG Hua. Method for Homologous Spectrum Monitoring Data Identification Based on Spectrum SIFT[J]. Computer Science, 2024, 51(6A): 230300177-7. https://doi.org/10.11896/jsjkx.230300177

参考文献

[1]XU Y,ZHOU S W,DING F. Research on deployment Efficiency Evaluation and optimization of Radio monitoring stations[J].Journal of Sensing Technology,2018,31(9):1389-1392.
[2]SUN T.Analysis of Mutual interference monitoring and control methods for VHF stations with same frequency and different addresses[J].Science and Technology and Innovation,2017(18):132-133.
[3]GAO W Y,GONG X F,LUO R S.Design of radio monitoring and management system based on Data analysis technology[J].Modern Electronic Technology,2021,44(20):12-16.
[4]DANG M.A scheme to improve the quality of radio monitoring data[J].Digital Communications World,2021(12):80-82.
[5]HU L P,DONG C Z,LIU J F,et al.Non-homologous target recognition of ground vehicle based on SAR simulation image[J].Systems Engineering and Electronics,2021,43(12):3518-3525.
[6]WANG Y,ZHANG X,MENG J M,et al.Non-homologous SAR vessel tracking method based on two-stage feature matching[J].Coastal Engineering,2022,41(1):48-60.
[7]LIAO F R.Research on SAR image fine registration algorithm[D].Chengdu:University of Electronic Science and Technology of China,2022.
[8]SU H C,CHENG Y H,ZHANG J,et al.A homology identification method for homology radar based on TOA[J].Aerospace Electronic Countermeasures,2021,37(2):11-14.
[9]CHEN J L,CAO S,ZHANG X Y.Interferometer direction fin-ding method for homologous LFM decoy signal[J].Electronic Information Countermeasure Technology,2020,35(5):20-23,56.
[10]YAN J H,SU K,CAI X Y,et al.Target Registration Based on Fusing Features of Visible and Two Wave Bands Infrared Images[J].Lecture Notes of the Institute for Computer Sciences,Social-Informatics and Telecommunications Engineering,2021,356:465-483.
[11]SI J W,ZHU C C,XI X F.Cell Detection and Counting Method Based on Connected Domain of Binary Image[J].Lecture Notes of the Institute for Computer Sciences,Social-Informatics and Telecommunications Engineering(LNICST),2021,356:3-12.
[12]GÁLVEZ-TOMIDA A,FISTE R,IZTO K,et al.IFS-BasedImage Reconstruction of Binary Images with Functional Networks[J].Mathematics,2022,10(7):1107.
[13]KURRA H S,TULASI M G,GUNTAKA G R,et al.Detecting Image Similarity Using SIFT[J].Lecture Notes in Networks and Systems,2022,209:561-575.
[14]TSOUROUNIS D,KASTANIOTIS D,THEOHARATOS C,et al.SIFT-CNN:When Convolutional Neural Networks Meet Dense SIFT Descriptors for Image and Sequence Classification[J].Journal of Imaging,2022,8(10):256.
[15]SHAHAROM M F M,TAHAR K N.Multispectral ImageMatching Using SIFT and SURF Algorithm:A Review[J].International Journal of Geoinformatics,2023,19(1):13-21.
[16]USTUBIOGLU B,TAHAOGLU G,ULUTAS G.Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram[J].Expert Systems with Applications,2023,213:118963.
[17]ZENG X F,YANG Y H,CUI P H,et al.Application of Combined Spectrum Method to time-Frequency Analysis of frequence-hopping Signals[J].Computer Engineering and Applications,2013,49(13):89-92.
[18]DING G S,HUANGZ T,WANG X.Radio Frequency Finger-print Extraction Based on Singular Values and Singular Vectors of Time-frequency Spectrum[C]//8th IEEE International Conference on Signal Processing,Communications and Computing(ICSPCC 2018).2018.
[19]SONG H Y,TONG N N,QIN J P.Orientation estimation me-thod based on spatial-time-frequency analysis[J].Journal of Heilongjiang Institute of Technology,2018,32(3):42-46.
[20]XU Y.Research on Artificial Intelligence detection Algorithm of electromagnetic signal based on spectral waterfall graph[D].Xi’an:Xidian University,2020.
[21]BAI X T.Research on modulation recognition method of OFDM signal based on short-time Fourier transform and Convolutional neural network[D].Xi’an:Xi’an University of Technology,2021.
[22]PENG L X,PENG S H,TANG C M.Starting from Zero:Programming Foundation and Application of Digital Image Proces-sing[M].Beijing:Beijing Posts and Telecommunications Press,2022:75-83.
[23]OTSU N.A Threshold Selection Method from Gray-Level Histograms[J].IEEE Transactions on Systems,Man,and Cybernetics,1979,9(1):62-66.
[24]JUNG H W,YUN D J,KANG H.Focusing Technique for Holo-graphic Subsurface Radar Based on Image Entropy[J].Applied Computational Electromagnetics Society journal,2021,36(4).
[25]TANG J X,SONG F L.Visibility detection method based onimage information entropy optimization parameters[J].Electronic Technology and Software Engineering,2020,193(23):111-113.
[26]SHAN Y S,CHEN B,CHENG P F.Image feature point ma-tching algorithm based on fast feature point extraction and description algorithm and hue,saturation and brightness[J].Advances in Laser and Optoelectronics,2019,59(12):153-159.

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一种基于谱图SIFT的同源频谱监测数据判定方法

Method for Homologous Spectrum Monitoring Data Identification Based on Spectrum SIFT

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