Laser & Optoelectronics Progress, Volume. 60, Issue 17, 1714008(2023)

Laser Doppler Signal Processing Based on Hybrid Convolution Window

Hao Chen* and Da Zhang
Author Affiliations
  • College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, Shandong , China
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    Figures & Tables(25)
    Sidelobe characteristics of various window functions. (a) Blackman Harris window; (b) four-term Nuttall window; (c) four-term RV window; (d) five-term MSD windows
    Sidelobe characteristics of hybrid convolution window functions
    Spectral lines. (a) Frequency point is close to the spectral line k3; (b) frequency point is close to the spectral line k4; (c) frequency point corresponds to the spectral line; (d) frequency point is in the middle of the two spectral lines
    Ideal signals of LDV. (a) Components of the signal; (b) signal time domain waveform
    Relative error comparison of frequency detection in low frequency range
    Relative error comparison of frequency detection in high frequency range
    Signal spectrograms with different signal-to-noise ratios in the low frequency domain. (a) RSN=+5 dB; (b) RSN= -5 dB; (c) RSN=-10 dB; (d) RSN=-15 dB
    Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in low frequency domain
    Signal spectrograms with different signal-to-noise ratios in the high frequency domain. (a) RSN=+5 dB; (b) RSN= -5 dB;(c) RSN= -10 dB; (d) RSN= -15 dB
    Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in low frequency domain
    Comparison of relative errors in low frequency range
    Comparison of relative errors in high frequency range
    Optical structure of LDV adopted
    Experimental setup of LDV
    Measured signal sequence
    Comparison of relative error of speed
    • Table 1. Accuracy comparison of frequency detection in low frequency range

      View table

      Table 1. Accuracy comparison of frequency detection in low frequency range

      No.Frequency /kHzArithmetic mean error of frequency detection /Hz
      Method 1Method 2Method 3Method 4
      1600.146120.033940.003110.00043
      21200.212780.058350.005700.00044
      31800.286770.066410.009460.00089
      42400.515630.114260.007090.00043
      53000.281490.065430.009280.00071
      63600.515630.111820.008030.00083
      74200.276380.064450.010130.00148
      84800.556530.109380.007910.00074
      95400.508860.062990.012470.00198
      106000.709630.107420.010380.00099
      116600.893430.063770.012010.00132
      127200.803040.060960.009160.00116
      137800.850760.061280.007070.00109
      148400.596130.056950.007130.00197
      159000.592720.069970.014020.00198
    • Table 2. Accuracy comparison of frequency detection in high frequency range

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      Table 2. Accuracy comparison of frequency detection in high frequency range

      No.Frequency /MHzArithmetic mean error of frequency detection /Hz
      Method 1Method 2Method 3Method 4
      160352.5833385.104005.241020.56917
      2120501.79167101.6000011.122270.63840
      3180750.15000111.8208011.275200.64300
      4240537.40350118.3333312.722401.21042
      5300884.41500236.2976028.780921.35044
      6360597.87011178.5280018.162141.72480
      7420898.27500194.5440029.655721.23250
      8480630.36000108.3960015.769731.46664
      9540973.89021268.0776028.611211.02708
      10600602.56000208.0800016.525562.00390
      11660917.64000266.3136031.968691.38240
      12720811.15043157.2210019.100383.52998
      137801289.40000219.1392021.506082.37312
      14840805.75000177.6960027.564362.48270
      15900902.55010247.3920027.111803.56040
    • Table 3. Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in low frequency domain

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      Table 3. Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in low frequency domain

      No.Frequency /kHzArithmetical mean of error /Hz
      RSN=+5 dBRSN=-5 dBRSN=-10 dBRSN=-15 dB
      1600.000100.191751.91040311.33200
      21200.000130.357681.55472307.64800
      31800.000170.410072.973441847.73040
      42400.000270.749962.012401923.08880
      53000.000170.568091.595521815.69040
      63600.000280.414154.999921938.87440
      74200.000200.7395811.77808861.35548
      84800.000250.903919.94064870.19822
      95400.000351.1921519.06470745.90264
      106000.000290.9330610.10534731.23548
      116600.000431.1821530.13222583.45921
      127200.000350.9340526.01698472.77065
      137800.000381.1290221.44346588.97846
      148400.000421.1130826.87693950.60786
      159000.000451.0587230.75494882.29743
    • Table 4. Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in high frequency domain

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      Table 4. Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in high frequency domain

      No.Frequency /MHzArithmetical mean of error /Hz
      RSN =+5 dBRSN=-5 dBRSN=-10 dBRSN=-15 dB
      1600.41691300.486391509.27371454325.23911
      21200.49814338.768661228.597821768065.17692
      31800.92389526.989321369.850672385840.38721
      42400.97161405.188289136.98548558740.56227
      53000.63717422.349399411.28992521070.28999
      63601.06819516.841309580.61613446435.45613
      74200.79913786.613186553.479621287100.12932
      84801.04420531.241113526.266741313235.31676
      95400.97155574.561183147.99428935988.91351
      106000.58315607.621236279.61570558740.60196
      116600.89542622.924209411.28991521070.30481
      127201.10816796.866129580.67975446435.60156
      137800.84019814.864278419.410772101635.54417
      148401.06821612.242242350.844141313235.31558
      159000.99453612.246172098.625232385350.23874
    • Table 5. Precision comparisons in low frequency range

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      Table 5. Precision comparisons in low frequency range

      No.Frequency /kHzArithmetical mean of error /Hz
      FFTMethod 1Method 2Method 3Method4
      164.52644194.149414.707721.933810.322560.14568
      2123.19344152.207937.812453.472230.567420.27769
      3181.86044110.685838.148603.983460.844200.30182
      4240.52734069.5789211.638896.208201.205410.50791
      5299.19434028.8831615.330067.311601.591800.71136
      6357.86133988.5943313.710068.384401.423840.84032
      7416.52833948.7083117.150138.404241.776630.76533
      8475.19533909.2212318.9078310.103421.961401.00400
      9528.97953870.1292420.6647212.841202.150430.99814
      10587.64653831.4277424.0788712.976242.499120.95342
      11646.31353793.1135222.4588713.730432.331201.42140
      12704.98053755.1823625.7442313.401012.671241.36353
      13763.64753717.6305729.0555114.205632.843461.29140
      14822.31453680.4542132.2801217.215203.179431.43463
      15880.98143643.6497333.8839219.576823.515441.75682
    • Table 6. Precision comparisons in high frequency range

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      Table 6. Precision comparisons in high frequency range

      No.Frequency /MHzArithmetical mean of error /Hz
      FFTMethod 1Method2Method3Method4
      154.78523808593.756863997.029382036.72159343.86209176.33953
      2113.42773759765.634716352.982343237.21821546.54333280.27863
      3172.07033710937.5373011860.121725385.604101020.31929523.24066
      4230.71293662109.3827517203.439536876.164411480.00178641.10807
      5289.35553613281.2534414531.787667404.800621250.16114717.94732
      6347.99803564453.1378119756.8471210067.279401699.66994871.62561
      7416.40633515625.6921824762.7298312618.067482130.323081092.47338
      8475.04883466796.8847722310.2448511368.382112949.41357984.27551
      9528.80863417968.7510927215.2096913867.750232750.425031200.67102
      10587.45123369140.6351129592.9843115079.366272279.337241305.57284
      11646.09383320312.5172634283.7816717469.603452341.308481512.51978
      12704.73633271484.3841431970.7525016290.979032545.867031410.47438
      13763.37893222656.2584436596.8031318648.223943148.401451614.56484
      14822.02153173828.1328238856.9648019799.906843342.841411714.27765
      15880.66413125000.1171041117.1084420951.585403537.280651813.99008
    • Table 7. Relative error averages in the low and high frequency ranges

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      Table 7. Relative error averages in the low and high frequency ranges

      ItemMethod 1Method 2Method 3Method 4
      Low frequency0.00440.002290.000430.00020
      High frequency0.00550.002730.000480.00024
    • Table 8. Main parameters of APD 430A/M

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      Table 8. Main parameters of APD 430A/M

      Wavelength range /nm

      Output

      bandwidth /MHz

      Active area

      diameter /mm

      Input optical power range /μW
      400‒10004000.58‒80
    • Table 9. Processing results of measured signals

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      Table 9. Processing results of measured signals

      No.

      Reference

      speed /(m·s-1

      Arithmetical mean of error /(m·s-1
      Method 1Method 2Method 3Method 4
      10.54151.58518×10-48.67780×10-51.88374×10-51.15203×10-5
      20.58981.79469×10-49.70299×10-51.93083×10-51.18081×10-5
      30.63772.15047×10-49.78912×10-51.91513×10-51.17123×10-5
      40.70562.60572×10-49.86931×10-51.93083×10-51.18080×10-5
      50.76833.14231×10-41.03356×10-42.15460×10-51.19047×10-5
      60.86753.67119×10-41.12973×10-42.58036×10-51.26724×10-5
      70.93693.10047×10-41.25720×10-42.78561×10-51.36800×10-5
      80.98973.36604×10-41.31654×10-42.89313×10-51.77600×10-5
      91.04252.69283×10-41.17746×10-43.56754×10-51.96536×10-5
      101.08322.67506×10-41.04587×10-43.69357×10-52.15417×10-5
      111.12382.56270×10-41.07916×10-44.29600×10-52.21475×10-5
      121.16052.71244×10-41.36797×10-44.76400×10-52.38255×10-5
      131.19722.48648×10-41.43981×10-44.76400×10-52.38213×10-5
      141.24922.39082×10-41.57070×10-44.77600×10-52.38846×10-5
      151.29712.51415×10-41.70160×10-44.81200×10-52.40676×10-5
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    Hao Chen, Da Zhang. Laser Doppler Signal Processing Based on Hybrid Convolution Window[J]. Laser & Optoelectronics Progress, 2023, 60(17): 1714008

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Jul. 13, 2022

    Accepted: Sep. 28, 2022

    Published Online: Sep. 13, 2023

    The Author Email: Hao Chen (chenhaoqyl1325@163.com)

    DOI:10.3788/LOP222062

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