摘要
针对正弦相位调制激光干涉仪测振信号的解调,本文提出一种融合自适应滤波和归一化PGC-Arctan的解调方法。该方法在传统PGC-Arctan算法的基础上,通过准确识别载波相位延迟和相位调制深度对正交干涉信号对进行归一化处理,从而减小相位解调的非线性误差,同时引入基于最小均方算法的自适应滤波器对解调信号进行滤波降噪,进一步提高信号的SNDR(信噪失真比)。通过数值仿真和实验测试验证了算法的有效性,在实验室条件下,对频率为100 Hz~3 kHz声波激励的固体表面微振动进行了探测和解调。结果表明本文所述方法能够实现振动信号的精确解调,经自适应滤波后解调信号的SNDR平均提升了12 dB。
Aiming at the demodulation of vibration measurement signals by sinusoidal phase modulation laser interferometer,this paper proposes a demodulation method that integrates adaptive filtering and normalized PGC-Arctan.Based on the traditional PGC-Arctan algorithm,this method normalizes the quadrature interferometric signal pair by accurately identifying the carrier phase delay and phase modulation depth,thereby reducing the nonlinearity error of phase demodulation,and introducing an adaptive filter based on the minimum mean square algorithm to filter and reduce the noise of the demodulated signal,further improving the signal’s SNDR(signal-to-noise distortion ratio)of the signal.The effectiveness of the algorithm is verified by numerical simulation and experimental testing,and the micro-vibrations of solid surfaces excited by sound waves at frequencies of 100 Hz~3 kHz are detected and demodulated under laboratory conditions.The results show that the method described in this paper can achieve accurate demodulation of the vibration signal,and the SNDR of the demodulated signal after adaptive filtering is increased by an average of 12 dB.
作者
李昕聪
刘俊岩
张启元
张烈山
Li Xincong;Liu Junyan;Zhang Qiyuan;Zhang Lieshan(School of Mechanical Engineering and Automation,Zhejiang Sci-Tech University,Hangzhou 310018,China)
出处
《电子测量技术》
北大核心
2022年第13期115-122,共8页
Electronic Measurement Technology
基金
国家级大学生创新创业训练计划(202110338011)
国家自然科学基金(61905220)
浙江省基础公益研究计划(LGF21F050004)项目资助。
