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Alternative TitleMicro mechanical gyro denoising method based on improved wavelet threshold
刘晓光; 胡静涛; 高雷; 李逃昌; 白晓平
Source Publication中国惯性技术学报
Indexed ByEI ; CSCD
EI Accession number20142317792108
Contribution Rank1
Funding Organization国家“863”计划项目(2013AA040403)资助项目
Keyword小波阈值 微机械陀螺 去噪 数据处理
Other AbstractThe noise of MEMS gyro is one of the significant factors that affect the precision of integrated navigation system. Based on the transplanter's GPS/INS integrated navigation system, an improved wavelet threshold denoising method is proposed by the analysis of conventional hard threshold and soft threshold wavelet denoising. An improved threshold function is constructed by the improved method, and it has nice continuity and can completely avoid eliminating the useful signal in noise and can automatically adjust the compression level of wavelet coefficients. Contrast test is made by using hard threshold, soft threshold and improved wavelet threshold denoising method based on the actual output data of micro mechanical gyro in the transplanter's GPS/INS integrated navigation system. The results show that the signal after being processed by the improved wavelet threshold denoising method has improved the signal-to-noise ratio by about 3 times and the mean square error is small.
Citation statistics
Cited Times:17[CSCD]   [CSCD Record]
Document Type期刊论文
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GB/T 7714
刘晓光,胡静涛,高雷,等. 基于改进小波阈值的微机械陀螺去噪方法[J]. 中国惯性技术学报,2014,22(2):233-236.
APA 刘晓光,胡静涛,高雷,李逃昌,&白晓平.(2014).基于改进小波阈值的微机械陀螺去噪方法.中国惯性技术学报,22(2),233-236.
MLA 刘晓光,et al."基于改进小波阈值的微机械陀螺去噪方法".中国惯性技术学报 22.2(2014):233-236.
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