多通道瞬态信号自适应变频算法

Adaptive Frequency-change Sampling Strategy of Multi-channel Transient Signal Test

为了解决在多通道瞬态信号测试领域,传统测试系统长时间高采样率测试产生的冗余数据对系统存储和传输带来的压力,提出了一种自适应变频算法。该算法采用与传统测试相同的采样率获取原始数据并以时间分段,依据每段信号的频域特征确定瞬态信号发生时刻和持续时间,对非瞬态信号进行二次采样,达到在完整保留瞬态信息的前提下减少冗余数据的目的。在实际爆炸冲击波场测试中进行验证,经过算法处理后数据压缩比大于33,同时保证瞬态信号持续期间数据完整,非瞬态信号持续期间最大误差小于0.5FS.试验结果表明,该算法可有效减少瞬态测试过程中的冗余数据。

In the multi-channel transient signal test, the redundant data test by the conventional test system at long time and high sampling rate causes the storage and transmission problems. An adaptive frequency-change sampling strategy is presented to solve these problems. The algorithm lets the test system acquire the primary data at the same sample rate as the traditional test systems can, and divides the data in time. According to the frequency domain characteristics of signal in each segment, the occurring time and duration of transient signal are determined. The non-transient signals are resampled to reduce the redundant data, and the transient segments can be saved completely. The data compression ratio is more than 33 after the data is processed by the algorithm, while the duration data of transient signal is fully retained, and the maximum error of the non-transient segments are less than 0.5FS. The experimental results show that the algorithm can effectively reduce the redundant data in transient test.