摘要
针对超声波流量计由于噪声信号和沿管壁传输的信号无法准确滤除的原因而使得测量精度不高的缺点,提出了一种基于同步压缩法的优化算法。将接收到的时域信号转换成时频域信号,采用阈值筛选与同步压缩相结合法得到多条中心频率频带,这些频带信号经过逆同步压缩法重回时域信号,采用最小二乘相减法滤除同频信号。仿真结果表明,该优化算法能够有效地解决上述问题,精确计算回波信号到达时间,提高超声波流量计的测量精度。
The paper introduces an optimization algorithm based on SST to solve the problem of low accuracy of ultrasonic flowmeter, which is resulted by the noise signal and the signal transmitted along the wall. The received time-domain signals are transformed into time and frequency domain ones. More center frequency bands are get by using the method of threshold sieve screening and SST. These frequency bands are inverse back to time-domain signals by in-SST again, but the synchronous signals are filtered out by the least squares phased subtraction method. Simulation shows that the optimized algorithm can effectively solve the problem to improve the accuracy of ultrasonic flowmeter by calculating the echo time of signal precisely.
出处
《科技通报》
北大核心
2017年第12期91-95,186,共6页
Bulletin of Science and Technology
基金
青年科技创新基金(NS2010191)
关键词
超声波流量计
同步压缩法
时频域
阈值法
最小二乘相减法
Ultrasonic flow gauge
synchro-squeezing method
time-frequency-representation
method of threshold sieve screening
least squares phased subtraction