| 自适应Kalman和零相移滤波算法在重力信号处理中的对比 |
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| 引用本文： | 罗骋,李宏生,赵立业.自适应Kalman和零相移滤波算法在重力信号处理中的对比[J].中国惯性技术学报,2011,19(3). |
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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,南京,210096 |
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| 基金项目： | 国家自然科学基金资助项目，微惯性仪表与先进导航技术教育部重点实验室开放基金，高等学校博士学科点专项科研基金资助项目 |
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| 摘 要： | 为了有效消除海洋重力仪测量信号的噪声,提高重力数据的获取精度,根据随机过程理论,借助基于二阶高斯一马尔可夫异常位模型的重力异常协方差函数,得到海洋重力测量中重力异常信号的状态方程.对sage-husa滤波算法和零相移算法进行了理论分析,为了抑制零相移滤波器的首尾数据畸变,求解了滤波器的初始状态.根据实测重力数据,进行了去噪仿真试验.理论分析和仿真结果表明,sage-husa与零相移滤波算法均能较好地抑制采样重力数据中的噪声干扰,但零相移滤波算法的性能优于sage-husa滤波器.
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| 关 键 词： | 海洋重力仪 测量噪声 自适应卡尔曼滤波器 零相移滤波器 |
Comparison of adaptive Kalman filter and zero-phase filter in processing gravity signal |
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| LUO Cheng,LI Hong-sheng,ZHAO Li-ye.Comparison of adaptive Kalman filter and zero-phase filter in processing gravity signal[J].Journal of Chinese Inertial Technology,2011,19(3). |
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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: | In order to effectively eliminate the noise of the measurement gravity and improve the accuracy of the gravity signal,the state equation of gravity anomaly signal is derived in marine gravimeter by using the theory of random process and gravity anomaly covariance function based on second-order Gaussian Markov gravity anomaly potential model.The algorithms of sage-husa and zero-phase are theoretically analyzed for contrast.The initial state of zero-phase filter is calculated to inhibit the distortion of the ... |
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| Keywords: | marine gravimeter measurement noise adaptive Kalman filter zero-phase filter |
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