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Advanced signal processing methods for pulsed laser vibrometry

机译：脉冲激光振动计的高级信号处理方法

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Although pulsed coherent laser radar vibrometry has been introduced as an improvement over its continuous wave (CW) counterpart, it remains very sensitive to decorrelation noises, such as speckle, and other disturbances of its measurement. Taking advantage of more polyvalent polypulse waveforms, we address the issue with advanced signal processing. We have conducted what we believe is the first extensive comparison of processing techniques considering CW, pulse-pair, and polypulse emissions. In this framework, we introduce a computationally efficient maximum likelihood estimator and test signal tracking on pseudo-time-frequency representations (TFRs), which, respectively, help deal with speckle noise and fading of the signal in harsh noise conditions. Our comparison on simulated signals is validated on a 1.55 (mu)m all-fiber vibrometer experiment with an apparatus simulating vibration and strong speckle noise. Results show the advantage of the estimators that take into account actual noise statistics, and call for a wider use of TFRs to track the vibration-modulated signal.
机译：尽管已引入脉冲相干激光雷达振动测量法作为其连续波（CW）的改进，但它对去相关噪声（例如散斑）及其测量的其他干扰仍然非常敏感。利用更多的多价多脉冲波形，我们通过高级信号处理解决了这个问题。我们进行了我们认为是对CW，脉冲对和多脉冲发射的处理技术的首次广泛比较。在此框架中，我们在伪时频表示（TFR）上引入了计算效率最高的最大似然估计器和测试信号跟踪，分别有助于处理斑点噪声和恶劣噪声条件下的信号衰落。我们对模拟信号的比较在1.55μm全光纤振动计实验中得到了验证，该实验使用了模拟振动和强斑点噪声的设备。结果表明，估计器的优点是考虑了实际的噪声统计信息，并要求更广泛地使用TFR来跟踪振动调制信号。

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