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首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >Performance of three algorithms for the fundamental frequency estimation against 16.7 Hz railways data
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Performance of three algorithms for the fundamental frequency estimation against 16.7 Hz railways data

机译：针对16.7 Hz铁路数据的三种基本频率估计算法的性能

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摘要

Three frequency estimation algorithms are considered and their performance evaluated against real data, represented by pantograph voltage and current signals on AC railways. The three algorithms have different characteristics: the “four parameter sine wave fitting” (4PSF) algorithm is based on LSE against single frequency model, the “phase sensitive frequency estimation” (PSFE) algorithm is based on phase difference against a single frequency model and the “multi harmonic frequency estimator” MHFE is based on LSE against multi-harmonic frequency model. The results show that all algorithms can deal with highly distorted signals with various success and that none of them can be assigned a-priori as the best for a specific task.
机译：考虑了三种频率估计算法，并针对实际数据评估了它们的性能，这些实际数据由AC铁路上的受电弓电压和电流信号表示。这三种算法具有不同的特性：“四参数正弦波拟合”（4PSF）算法基于LSE针对单频模型，“相敏频率估计”（PSFE）算法基于相位差针对单频模型， “多谐波频率估算器” MHFE基于LSE的多谐波频率模型。结果表明，所有算法都可以成功地处理高度失真的信号，并且不能将它们优先分配给特定任务的最佳选择。

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