| 一种基于多参考信号ICA的重力信号提取方法 |
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| 引用本文： | 罗骋,李宏生,赵立业.一种基于多参考信号ICA的重力信号提取方法[J].中国惯性技术学报,2011(6). |
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| 作者姓名： | 罗骋 李宏生 赵立业 |
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| 作者单位： | 东南大学仪器科学与工程学院微惯性仪表与先进导航技术教育部重点实验室; |
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| 基金项目： | 国家自然科学基金资助项目(60575010); 微惯性仪表与先进导航技术教育部重点实验室开放基金(201007); 高等学校博士学科点专项科研基金资助项目(200802861060,20100092110038) |
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| 摘 要： | 海洋重力测量包含大量噪声,其中的低频噪声与重力信号频率相近,常用算法难以有效抑制测量噪声提取重力信号。为了有效地消除海洋重力测量信号的噪声,提高信号的获取精度,根据独立分量分析理论,提出一种基于多参考信号独立分量分析的重力信号提取方法。采用经验模态分解将海洋重力测量信号分解为固有模态分量,同时采用卡尔曼滤波以及小波分解等算法处理重力测量信号,将卡尔曼滤波器和小波分解的滤波结果以及由固有模态分量重构的信号作为独立分量分析算法虚拟通道的参考信号,应用基于负熵的独立分量分析算法估计重力信号。基于实测重力信号对该方法进行了去噪试验,理论分析和试验结果表明,多参考信号独立分量分析的重力信号提取方法能有效的抑制干扰和恢复重力信号波形,与常用的重力信号处理算法相比,海洋重力数据的获取精度大约提高了30%。
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| 关 键 词： | 经验模态分解 卡尔曼滤波 小波变换 多参考信号 独立分量分析 |
Gravity signal extracting method based on independent component analysis with multiple reference signals |
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| LUO Cheng,LI Hong-sheng,ZHAO Li-ye.Gravity signal extracting method based on independent component analysis with multiple reference signals[J].Journal of Chinese Inertial Technology,2011(6). |
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| Authors: | LUO Cheng LI Hong-sheng ZHAO Li-ye |
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| Institution: | LUO Cheng,LI Hong-sheng,ZHAO Li-ye(Key Laboratory of Micro Inertial instrument and Advanced Navigation technology,Ministry of Education,School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China) |
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| Abstract: | The measurement data of marine gravity contains substantial noises,the low frequency part of which have similar frequencies with gravity signal,and it's difficult to inhibit the noise of the measurement data and extract the gravity signal by using classical algorithms.In order to effectively eliminate the noise of the measurement gravity and improve the accuracy,a novel method of extracting the gravity signals is proposed based on the theory of independent component analysis(ICA) with multiple reference sig... |
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| Keywords: | empirical mode decomposition Kalman filter wavelet translation multiple reference signals independent component analysis |
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