• Laser & Optoelectronics Progress
  • Vol. 60, Issue 17, 1714008 (2023)
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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    DOI: 10.3788/LOP222062 Cite this Article Set citation alerts
    Hao Chen, Da Zhang. Laser Doppler Signal Processing Based on Hybrid Convolution Window[J]. Laser & Optoelectronics Progress, 2023, 60(17): 1714008 Copy Citation Text show less
    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
    Fig. 1. 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
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. Ideal signals of LDV. (a) Components of the signal; (b) signal time domain waveform
    Relative error comparison of frequency detection in low frequency range
    Fig. 5. Relative error comparison of frequency detection in low frequency range
    Relative error comparison of frequency detection in high frequency range
    Fig. 6. 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
    Fig. 7. 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
    Fig. 8. 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
    Fig. 9. 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
    Fig. 10. 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
    Fig. 11. Comparison of relative errors in low frequency range
    Comparison of relative errors in high frequency range
    Fig. 12. Comparison of relative errors in high frequency range
    Optical structure of LDV adopted
    Fig. 13. Optical structure of LDV adopted
    Experimental setup of LDV
    Fig. 14. Experimental setup of LDV
    Measured signal sequence
    Fig. 15. Measured signal sequence
    Comparison of relative error of speed
    Fig. 16. Comparison of relative error of speed
    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 1. Accuracy comparison of frequency detection in low 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 2. Accuracy comparison of frequency detection in high frequency range
    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 3. Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in low 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 4. Comparison of absolute errors of signal frequency detection with different signal-to-noise ratios in high frequency domain
    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 5. Precision comparisons in low 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 6. Precision comparisons in high frequency range
    ItemMethod 1Method 2Method 3Method 4
    Low frequency0.00440.002290.000430.00020
    High frequency0.00550.002730.000480.00024
    Table 7. Relative error averages in the low and high frequency ranges
    Wavelength range /nm

    Output

    bandwidth /MHz

    Active area

    diameter /mm

    Input optical power range /μW
    400‒10004000.58‒80
    Table 8. Main parameters of APD 430A/M
    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
    Table 9. Processing results of measured signals