摘要
针对信号恢复前期存在局部干扰噪声,导致信号恢复质量较差和恢复速率较慢的问题,提出基于SG算法的MEMS加速度传感器信号恢复方法。将小波SG设定为传感器的预滤波单元,降低白噪声和局部强干扰对信号恢复产生的影响,同时结合EEMD抑制模式的特性剔除无利用价值的信号,提取有效的信号。将经过去噪处理信号的时间域平滑特性和空间平滑特性相结合,组建联合图模型。通过联合图模型中传感器信号的关联特性设计迭代恢复算法,最终完成MEMS加速度传感器信号恢复。实验结果表明,基于SG算法的MEMS加速度传感器信号恢复方法,可获取高质量和高效率的信号恢复结果。
There is local interference noise in the early stage of signal recovery,which leads to poor signal recovery quality and slow recovery rate.A signal recovery method of MEMS accelerometer based on SG algorithm is proposed.The wavelet SG is set as the pre-filtering unit of the sensor to reduce the influence of white noise and local strong interference on the signal recovery.At the same time,combined with the characteristics of EEMD suppression mode,the useless signal is eliminated and the effective signal is extracted.The joint graph model is constructed by combining the temporal smoothing and spatial smoothing of the denoised signal.According to the correlation characteristics of the sensor signal in the joint graph model,an iterative recovery algorithm is designed to complete the MEMS acceleration sensor signal recovery.The experimental results show that high quality and high efficiency signal recovery results can be obtained.
作者
纪莲和
王文赫
王建
聂琪鹤
郑平平
JI Lianhe;WANG Wenhe;WANG Jian;NIE Qihe;ZHENG Pingping(Beijing Smartchip Semiconductor Technology Company Limited,Beijing 100192,China)
出处
《机械与电子》
2021年第9期16-19,23,共5页
Machinery & Electronics
基金
北京自然科学基金资助项目(201936540454)。
作者简介
纪莲和(1971-),男,北京人,高级工程师,研究方向为集成电路设计与制造;王文赫(1979-),男,北京人,高级工程师,研究方向为物联网技术;王建(1978-),男,北京人,工程师,研究方向为集成电路设计与制造;聂琪鹤(1984-),男,北京人,学士,研究方向为物联网技术;郑平平(1981-),女,北京人,中级工程师,研究方向为集成电路设计与制造。
