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Application of Kalman Filter Method in the Forecast of Temperature in Nanchang
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作者 Feifei WU Xiaoyou LONG +1 位作者 Chuanshi TANG Landi ZHONG 《Meteorological and Environmental Research》 2024年第4期32-35,共4页
A temperature forecasting model was created firstly based on the Kalman filter method,and then used to predict the highest and lowest temperature in Nanchang station from October 27 to November 1,2017.Finally,accordin... A temperature forecasting model was created firstly based on the Kalman filter method,and then used to predict the highest and lowest temperature in Nanchang station from October 27 to November 1,2017.Finally,according to the empirical forecasting method,guidance forecasts were established for the northern,central,and southern parts of Nanchang City.After inspection,it was found that the temperature prediction model established based on the Kalman filter method in Nanchang station had good prediction performance,and especially in the 24-hour forecast,it had advantages over the European Center.The accuracy of low temperature forecast was better than that of high temperature forecast. 展开更多
关键词 kalman filter method Temperature forecast Nanchang City
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Software alignment of the BESⅢ main drift chamber using the Kalman Filter method
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作者 王纪科 毛泽普 +50 位作者 边渐鸣 曹国富 曹学香 陈申见 邓子艳 傅成栋 高原宁 何康林 何苗 花春飞 黄彬 黄性涛 季晓斌 李飞 李海波 李卫东 梁羽铁 刘春秀 刘怀民 刘锁 刘英杰 马秋梅 马想 冒亚军 莫晓虎 潘明华 庞彩莹 平荣刚 秦亚红 邱进发 孙胜森 孙永昭 王亮亮 文硕频 伍灵慧 谢宇广 徐敏 严亮 尤郑昀 苑长征 袁野 张炳云 张长春 张建勇 张学尧 张瑶 郑阳恒 朱科军 朱永生 朱志丽 邹佳恒 《Chinese Physics C》 SCIE CAS CSCD 2009年第3期210-216,共7页
Software alignment is quite important for a tracking detector to reach its ultimate position accuracy and momentum resolution. We developed a new alignment algorithm for the BESⅢ Main Drift Chamber using the Kalman F... Software alignment is quite important for a tracking detector to reach its ultimate position accuracy and momentum resolution. We developed a new alignment algorithm for the BESⅢ Main Drift Chamber using the Kalman Filter method. Two different types of data which are helix tracks and straight tracks are used to test this algorithm, and the results show that the design and implementation is successful. 展开更多
关键词 BESⅢ main drift chamber tracking detector alignment kalman filter method
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Hydraulic model with roughness coefficient updating method based on Kalman filter for channel flood forecast 被引量:4
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作者 Hong-jun BAO Lin-na ZHAO 《Water Science and Engineering》 EI CAS 2011年第1期13-23,共11页
A real-time channel flood forecast model was developed to simulate channel flow in plain rivers based on the dynamic wave theory. Taking into consideration channel shape differences along the channel, a roughness upda... A real-time channel flood forecast model was developed to simulate channel flow in plain rivers based on the dynamic wave theory. Taking into consideration channel shape differences along the channel, a roughness updating technique was developed using the Kalman filter method to update Manning's roughness coefficient at each time step of the calculation processes. Channel shapes were simplified as rectangles, triangles, and parabolas, and the relationships between hydraulic radius and water depth were developed for plain rivers. Based on the relationship between the Froude number and the inertia terms of the momentum equation in the Saint-Venant equations, the relationship between Manning's roughness coefficient and water depth was obtained. Using the channel of the Huaihe River from Wangjiaba to Lutaizi stations as a case, to test the performance and rationality of the present flood routing model, the original hydraulic model was compared with the developed model. Results show that the stage hydrographs calculated by the developed flood routing model with the updated Manning's roughness coefficient have a good agreement with the observed stage hydrographs. This model performs better than the original hydraulic model. 展开更多
关键词 flood routing Manning's roughness coefficient updating method kalman filter Froude number Saint-Venant equations hydraulic model
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基于Kalman滤波的多路温度采集系统设计
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作者 李锦明 常学仕 《舰船电子工程》 2023年第12期195-200,共6页
针对导航计算机中加速度计与激光陀螺仪性能易受环境温度影响,需对环境温度进行准确的测量,设计了一种基于Kalman滤波的多路温度采集系统。系统采用PT1000铂电阻作为温度传感器,通过调理电路、A/D转换电路完成信号转换,并采用一种改进Ka... 针对导航计算机中加速度计与激光陀螺仪性能易受环境温度影响,需对环境温度进行准确的测量,设计了一种基于Kalman滤波的多路温度采集系统。系统采用PT1000铂电阻作为温度传感器,通过调理电路、A/D转换电路完成信号转换,并采用一种改进Kalman算法与分段插值法相结合的方法,提高了系统运算速度并减小因硬件电路干扰产生的误差,提高了系统采集的精确度。测试结果表明,该系统温度检测在-40℃~85℃范围内,系统稳定可靠且精确度高,测量误差在±0.1℃,满足系统测温的需求。 展开更多
关键词 FPGA PT1000 kalman滤波 分段插值法
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Generalized cubature quadrature Kalman filters:derivations and extensions 被引量:2
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作者 Hongwei Wang Wei Zhang +1 位作者 Junyi Zuo Heping Wang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第3期556-562,共7页
A new Gaussian approximation nonlinear filter called generalized cubature quadrature Kalman filter (GCQKF) is introduced for nonlinear dynamic systems. Based on standard GCQKF, two extensions are developed, namely squ... A new Gaussian approximation nonlinear filter called generalized cubature quadrature Kalman filter (GCQKF) is introduced for nonlinear dynamic systems. Based on standard GCQKF, two extensions are developed, namely square root generalized cubature quadrature Kalman filter (SR-GCQKF) and iterated generalized cubature quadrature Kalman filter (I-GCQKF). In SR-GCQKF, the QR decomposition is exploited to alter the Cholesky decomposition and both predicted and filtered error covariances have been propagated in square root format to make sure the numerical stability. In I-GCQKF, the measurement update step is executed iteratively to make full use of the latest measurement and a new terminal criterion is adopted to guarantee the increase of likelihood. Detailed numerical experiments demonstrate the superior performance on both tracking stability and estimation accuracy of I-GCQKF and SR-GCQKF compared with GCQKF. 展开更多
关键词 cubature rule quadrature rule kalman filter iterated method QR decomposition nonlinear estimation target tracking
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Coupling Ensemble Kalman Filter with Four-dimensional Variational Data Assimilation 被引量:26
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作者 Fuqing ZHANG Meng ZHANG James A. HANSEN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2009年第1期1-8,共8页
This study examines the performance of coupling the deterministic four-dimensional variational assimilation system (4DVAR) with an ensemble Kalman filter (EnKF) to produce a superior hybrid approach for data assim... This study examines the performance of coupling the deterministic four-dimensional variational assimilation system (4DVAR) with an ensemble Kalman filter (EnKF) to produce a superior hybrid approach for data assimilation. The coupled assimilation scheme (E4DVAR) benefits from using the state-dependent uncertainty provided by EnKF while taking advantage of 4DVAR in preventing filter divergence: the 4DVAR analysis produces posterior maximum likelihood solutions through minimization of a cost function about which the ensemble perturbations are transformed, and the resulting ensemble analysis can be propagated forward both for the next assimilation cycle and as a basis for ensemble forecasting. The feasibility and effectiveness of this coupled approach are demonstrated in an idealized model with simulated observations. It is found that the E4DVAR is capable of outperforming both 4DVAR and the EnKF under both perfect- and imperfect-model scenarios. The performance of the coupled scheme is also less sensitive to either the ensemble size or the assimilation window length than those for standard EnKF or 4DVAR implementations. 展开更多
关键词 data assimilation four-dimensional variational data assimilation ensemble kalman filter Lorenz model hybrid method
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Study of nonlinear filter methods: particle filter 被引量:2
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作者 Zhang Weiming Du Gang +1 位作者 Zhong Shan Zhang Yanhua 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第1期1-5,共5页
Extended Kalman filter (EKF) is one of the most widely used methods for nonlinear system estimation. A new filtering algorithm, called particle filtering (PF) is introduced. PF can yield better performance than th... Extended Kalman filter (EKF) is one of the most widely used methods for nonlinear system estimation. A new filtering algorithm, called particle filtering (PF) is introduced. PF can yield better performance than that of EKF, because PF does not involve the linearization approximating to nonlinear systems, that is required by the EKF. PF has been shown to be a superior alternative to the EKF in a variety of applications. The base idea of PF is the approximation of relevant probabifity distributions using the concepts of sequential importance sampling and approximation of probability distributions using a set of discrete random samples with associated weights. PF methods still need to be improved in the aspects of accuracy and calculating speed. 展开更多
关键词 NONLINEAR extended kalman filter particle filter Monte Carlo methods.
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Adaptive Kalman Filtering Approach of Color Noise in Cephalometeric Image
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作者 徐常胜 《High Technology Letters》 EI CAS 1997年第2期8-12,共5页
A kind of adaptive color noise Kalman filtering approach based on the correlative method of the system output is proposed to solve the cephalometric images of stomatology. This approach builds the color noise Kalman f... A kind of adaptive color noise Kalman filtering approach based on the correlative method of the system output is proposed to solve the cephalometric images of stomatology. This approach builds the color noise Kalman filtering model by adopting the equivalent measurement equation in order to aviod complicated computation and expansion of the dimension of the filter. It is also unnecessary to know the variance of measurement noise beforehand so that it is closer to the actual situation. The results of several experiments are presented to demonstrate the feasibility and good performance of this approach. 展开更多
关键词 kalman filter OUTPUT correlative method Noise IMAGE CEPHALOMETRIC
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Adaptive Kalman Filter of Transfer Alignment with Un-modeled Wing Flexure of Aircraft 被引量:1
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作者 周峰 孟秀云 《Journal of Beijing Institute of Technology》 EI CAS 2008年第4期434-438,共5页
The alignment accuracy of the strap-down inertial navigation system (SINS) of airborne weapon is greatly degraded by the dynamic wing flexure of the aircraft. An adaptive Kalman filter uses innovation sequences base... The alignment accuracy of the strap-down inertial navigation system (SINS) of airborne weapon is greatly degraded by the dynamic wing flexure of the aircraft. An adaptive Kalman filter uses innovation sequences based on the maximum likelihood estimated criterion to adapt the system noise covariance matrix and the measurement noise covariance matrix on line, which is used to estimate the misalignment if the model of wing flexure of the aircraft is unknown. From a number of simulations, it is shown that the accuracy of the adaptive Kalman filter is better than the conventional Kalman filter, and the erroneous misalignment models of the wing flexure of aircraft will cause bad estimation results of Kalman filter using attitude match method. 展开更多
关键词 transfer alignment adaptive kalman filter wing flexure of the aircraft velocity and attitudematch method
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Estimation and Forecasting Survival of Diabetic CABG Patients (Kalman Filter Smoothing Approach)
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作者 M. Saleem K. H. Khan Nusrat Yasmin 《American Journal of Computational Mathematics》 2015年第4期405-413,共9页
In this paper, we present a new approach (Kalman Filter Smoothing) to estimate and forecast survival of Diabetic and Non Diabetic Coronary Artery Bypass Graft Surgery (CABG) patients. Survival proportions of the patie... In this paper, we present a new approach (Kalman Filter Smoothing) to estimate and forecast survival of Diabetic and Non Diabetic Coronary Artery Bypass Graft Surgery (CABG) patients. Survival proportions of the patients are obtained from a lifetime representing parametric model (Weibull distribution with Kalman Filter approach). Moreover, an approach of complete population (CP) from its incomplete population (IP) of the patients with 12 years observations/follow-up is used for their survival analysis [1]. The survival proportions of the CP obtained from Kaplan Meier method are used as observed values yt?at time t (input) for Kalman Filter Smoothing process to update time varying parameters. In case of CP, the term representing censored observations may be dropped from likelihood function of the distribution. Maximum likelihood method, in-conjunction with Davidon-Fletcher-Powell (DFP) optimization method [2] and Cubic Interpolation method is used in estimation of the survivor’s proportions. The estimated and forecasted survival proportions of CP of the Diabetic and Non Diabetic CABG patients from the Kalman Filter Smoothing approach are presented in terms of statistics, survival curves, discussion and conclusion. 展开更多
关键词 CABG PATIENTS Complete and Incomplete Populations Weibull & Distribution kalman filter Maximum Likelihood method DFP method ESTIMATION and Forecasting of Survivor’s PROPORTIONS
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MLP training in a self-organizing state space model using unscented Kalman particle filter 被引量:3
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作者 Yanhui Xi Hui Peng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2013年第1期141-146,共6页
Many Bayesian learning approaches to the multi-layer perceptron (MLP) parameter optimization have been proposed such as the extended Kalman filter (EKF). This paper uses the unscented Kalman particle filter (UPF... Many Bayesian learning approaches to the multi-layer perceptron (MLP) parameter optimization have been proposed such as the extended Kalman filter (EKF). This paper uses the unscented Kalman particle filter (UPF) to train the MLP in a self- organizing state space (SOSS) model. This involves forming augmented state vectors consisting of all parameters (the weights of the MLP) and outputs. The UPF is used to sequentially update the true system states and high dimensional parameters that are inherent to the SOSS moder for the MLP simultaneously. Simulation results show that the new method performs better than traditional optimization methods. 展开更多
关键词 multi-layer perceptron (MLP) Bayesian method self-organizing state space (SOSS) unscented kalman particle filter(UPF).
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SELF-TUNING MEASUREMENT FUSION KALMAN FILTER WITH CORRELATED MEASUREMENT NOISES
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作者 Gao Yuan Ran Chenjian Deng Zili 《Journal of Electronics(China)》 2009年第5期614-622,共9页
For the multisensor system with correlated measurement noises and unknown noise statistics, based on the solution of the matrix equations for correlation function, the on-line estimators of the noise variances and cro... For the multisensor system with correlated measurement noises and unknown noise statistics, based on the solution of the matrix equations for correlation function, the on-line estimators of the noise variances and cross-covariances is obtained. Further, a self-tuning weighted measurement fusion Kalman filter is presented, based on the Riccati equation. By the Dynamic Error System Analysis (DESA) method, it rigorously proved that the presented self-tuning weighted measurement fusion Kalman filter converges to the optimal weighted measurement fusion steady-state Kalman filter in a realization or with probability one, so that it has asymptotic global optimality. A simulation example for a target tracking system with 3-sensor shows that the presented self-tuning measurement fusion Kalman fuser converges to the optimal steady-state measurement fusion Kalman fuser. 展开更多
关键词 稳态kalman滤波器 加权观测融合 量测噪声 自校正 多传感器系统 RICCATI方程 动态误差分析 测量融合
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事件触发机制下配电网三相动态状态估计
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作者 黄蔓云 徐启颖 +2 位作者 孙国强 卫志农 孙康 《电力系统自动化》 EI CSCD 北大核心 2024年第13期100-108,共9页
随着高级量测体系的发展和智能电表的广泛应用,为配电网三相状态估计提供了丰富的终端量测信息。与此同时,大量的智能电表数据给配电网通信系统提出了更高的通信带宽和实时存储要求。为了缓解量测拥堵和时延现象,文中引入事件触发机制... 随着高级量测体系的发展和智能电表的广泛应用,为配电网三相状态估计提供了丰富的终端量测信息。与此同时,大量的智能电表数据给配电网通信系统提出了更高的通信带宽和实时存储要求。为了缓解量测拥堵和时延现象,文中引入事件触发机制代替传统量测数据的周期性采样,在保证有效量测信息及时上传的同时减少通信成本和投资。在此基础上,针对配电网实时状态感知问题,提出了基于鲁棒集合卡尔曼滤波的配电网三相动态状态估计方法,在正常运行场景下,能够保持与无偏估计加权最小二乘法相近的估计精度;当含有坏数据时,该方法也拥有较强的鲁棒性。 展开更多
关键词 配电网 状态估计 事件触发机制 集合卡尔曼滤波 加权最小二乘法
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融合自适应步长与地图匹配的智能手机PDR室内定位算法
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作者 李鹏 张治胜 +1 位作者 王珂 李炎隆 《导航定位与授时》 CSCD 2024年第4期128-137,共10页
针对经典的PDR算法中步长估算模型无法适应不同个体之间差异以及手机内部传感器航向角估算不准确的问题,提出了一种融合自适应步长与地图匹配的智能手机PDR室内定位算法。该算法在Weinberg模型的基础上,引入相邻波峰时间差函数以提高步... 针对经典的PDR算法中步长估算模型无法适应不同个体之间差异以及手机内部传感器航向角估算不准确的问题,提出了一种融合自适应步长与地图匹配的智能手机PDR室内定位算法。该算法在Weinberg模型的基础上,引入相邻波峰时间差函数以提高步长模型的适应性。采用双阈值法进行步频检测,并利用卡尔曼滤波优化地图匹配后的航向角,最终实现室内行人的精确定位。实验数据显示,所提算法总路程的闭环误差为0.58%,与仅使用自适应步长相比下降了73.29%,与仅使用地图匹配相比下降了59.21%,行程72 m的累积误差为4.484 m,相较于经典的PDR算法下降了28.21%。改进后的算法定位精度显著提高,且闭环误差和累积误差更小。实验结果表明,该算法具有良好的工程应用价值。 展开更多
关键词 PDR算法 Weinberg模型 双阈值法 卡尔曼滤波 地图匹配
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两传感器最优信息融合Kalman滤波器及其在跟踪系统中的应用 被引量:14
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作者 孙书利 崔平远 《宇航学报》 EI CAS CSCD 北大核心 2003年第2期206-209,共4页
针对两传感器信息融合 ,提出了一种在标量加权下的最优信息融合 Kalm an滤波器。该信息融合滤波器考虑了局部滤波误差的相关性 ,避免了局部滤波误差方差阵的逆矩阵的计算 ,也避免了加权矩阵的计算 ,只要求计算加权系数 ,便于实时应用。... 针对两传感器信息融合 ,提出了一种在标量加权下的最优信息融合 Kalm an滤波器。该信息融合滤波器考虑了局部滤波误差的相关性 ,避免了局部滤波误差方差阵的逆矩阵的计算 ,也避免了加权矩阵的计算 ,只要求计算加权系数 ,便于实时应用。一个跟踪系统的仿真例子验证了其有效性。 展开更多
关键词 kalman滤波器 传感器 信息融合 目标跟踪 协方差阵
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Kalman滤波方法在黑河出山径流年平均流量预报中的应用 被引量:18
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作者 蓝永超 康尔泗 《中国沙漠》 CSCD 北大核心 1999年第2期156-159,共4页
应用Kalman滤波方法,以流域平均降水量、气温、太阳黑子相对数及莺落峡站6年显著周期序列等为控制参数。
关键词 kalman滤波法 多元回归模式 径流预报 平均流量
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改进的自适应Kalman滤波及其在水声机动目标跟踪中的应用 被引量:15
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作者 郭鑫 葛凤翔 郭良浩 《声学学报》 EI CSCD 北大核心 2011年第6期611-618,共8页
针对在水声机动目标定位跟踪领域广泛应用的传统Kalman滤波往往难以实现机动目标运动方向突变情况下的有效跟踪问题,本文通过分析传统Kalman滤波性能下降时机动目标的运动轨迹,并由此根据机动目标运动方向变化量来产生自适应因子以调整K... 针对在水声机动目标定位跟踪领域广泛应用的传统Kalman滤波往往难以实现机动目标运动方向突变情况下的有效跟踪问题,本文通过分析传统Kalman滤波性能下降时机动目标的运动轨迹,并由此根据机动目标运动方向变化量来产生自适应因子以调整Kalman增益。数值仿真和实际海试数据验证表明,本文所提改进的自适应Kalman滤波在机动目标跟踪中不仅能够快速响应机动目标的运动方向突变,而且目标位置跟踪误差较传统方法显著减小,具有稳定、快速的跟踪性能。 展开更多
关键词 自适应kalman滤波 机动目标跟踪 应用 水声 运动方向 传统方法 自适应因子 跟踪问题
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基于Kalman-ARIMA模型的大坝变形预测 被引量:8
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作者 薛洋 杨光 许雷 《中国农村水利水电》 北大核心 2016年第12期117-119,123,共4页
大坝变形预测是大坝安全监测系统的关键组成部分,对监控大坝的安全运行起着关键作用。然而,大坝变形监测数据易受到随机干扰噪声的污染,影响变形预测的精度。故提出了Kalman-ARIMA模型,即先根据卡尔曼滤波法剔除观测数据中的随机干扰噪... 大坝变形预测是大坝安全监测系统的关键组成部分,对监控大坝的安全运行起着关键作用。然而,大坝变形监测数据易受到随机干扰噪声的污染,影响变形预测的精度。故提出了Kalman-ARIMA模型,即先根据卡尔曼滤波法剔除观测数据中的随机干扰噪声,然后利用ARIMA模型对经过滤波后的数据进行建模并作预测。结合某大坝的位移监测数据资料,利用Kalman-ARIMA模型预测了该大坝的位移,并与仅利用ARIMA模型预测的位移值作对比,结果表明,Kalman-ARIMA模型能够有效地降低预测值与真实值之间的误差,可以应用于大坝变形预测。 展开更多
关键词 变形预测 大坝 卡尔曼滤波 ARIMA模型
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基于Kalman滤波的气体超声波流量计融合方法 被引量:7
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作者 刘博 徐科军 +3 位作者 穆立彬 田雷 沈子文 李剑波 《计量学报》 CSCD 北大核心 2018年第6期868-873,共6页
针对气体超声波流量计中多个声道获得的多个流量结果如何融合的问题,提出了基于Kalman滤波的融合方法。把多声道气体超声波流量计看成是若干个单声道流量计的组合,根据每个声道计算结果的统计规律,自动地调整每个声道的流量结果在最终... 针对气体超声波流量计中多个声道获得的多个流量结果如何融合的问题,提出了基于Kalman滤波的融合方法。把多声道气体超声波流量计看成是若干个单声道流量计的组合,根据每个声道计算结果的统计规律,自动地调整每个声道的流量结果在最终输出中的权重系数,在消耗较小的计算资源情况下,实现对流量结果中异常值的判断和处理,使流量输出更加稳定。在以DSP和FPGA为核心的气体超声流量计信号处理系统上实时实现算法,并进行实流实验。实验结果验证了方法的有效性。 展开更多
关键词 计量学 气体超声波流量计 kalman滤波 融合方法 多声道 数字信号处理
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基于Kalman滤波的信息融合白噪声最优反卷积滤波器 被引量:8
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作者 邓自立 高媛 +2 位作者 李云 白敬刚 崔崇信 《科学技术与工程》 2004年第3期169-171,175,共4页
应用Kalman滤波方法 ,基于Riccati方程 ,在线性最小方差最优信息融合准则下 ,提出了两传感器最优信息融合白噪声反卷积滤波器。同单传感器情形相比 ,可提高滤波精度。它可应用于石油地震勘探信号处理。一个信息融合Bernoulli
关键词 kalman滤波 信息融合白噪声 最优反卷积滤波器 线性最小方差信息融合 反射地震学
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