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基于状态可观测性和多模态数据PF的移动目标跟踪 被引量:1
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作者 胡国华 赵涓涓 郝耀军 《无线电工程》 2024年第6期1504-1511,共8页
为了实现对移动目标的跟踪,提出了一种新颖的基于目标状态可观测性和多模态数据粒子滤波(Particle Filter,PF)的跟踪方案。通过部署在目标移动区域中的传感器获得跟踪目标的距离和到达方向测量值,对接收到的数据进行预处理来计算PF的观... 为了实现对移动目标的跟踪,提出了一种新颖的基于目标状态可观测性和多模态数据粒子滤波(Particle Filter,PF)的跟踪方案。通过部署在目标移动区域中的传感器获得跟踪目标的距离和到达方向测量值,对接收到的数据进行预处理来计算PF的观测值,以形成一个临时距离图像。通过利用状态更新函数和形成的候选图像模板确定目标状态向量;在PF器中加入额外的加权阶段,使得PF器可自适应地同步多模态数据流,以实现鲁棒的目标跟踪。仿真实验结果验证了所提方案能够有效地跟踪移动目标。 展开更多
关键词 无线传感器网络 移动目标跟踪 状态向量 粒子滤波 多模态数据 传播延迟
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地磁序列辅助修正的PSO-PF室内行人定位方法
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作者 何正伟 孙炳源 《测绘通报》 CSCD 北大核心 2024年第7期17-23,共7页
室内行人定位是位置服务的重要基础,地磁信号具有被随时感知的特点,基于地磁信号的定位方法一直是室内行人定位研究的一个热点。针对当前基于粒子滤波融合定位存在累计误差大、定位精度较低的问题,本文提出变长地磁序列辅助PSO-PF的室... 室内行人定位是位置服务的重要基础,地磁信号具有被随时感知的特点,基于地磁信号的定位方法一直是室内行人定位研究的一个热点。针对当前基于粒子滤波融合定位存在累计误差大、定位精度较低的问题,本文提出变长地磁序列辅助PSO-PF的室内行人定位方法。首先,在传统粒子滤波算法的基础上,融合粒子群算法进行最佳位置寻优提升实时定位的准确性;然后,建立了DTW-A^(*)算法获取变长地磁序列对一段时间累计误差进行修正,以解决基于粒子滤波定位方法的累计误差问题;最后,通过试验将本文方法与现有主流定位方法进行比较。结果表明,本文方法在室内行人定位方面平均误差为0.90 m,比PDR、MaLoc和Magicol方法分别降低了73.1%、68.0%和63.8%。其中,本文方法1.43 m定位精度达90%,比PDR、MaLoc和Magicol方法分别提升了75.1%、68.4%和67.7%。此外,在不同型号手机上进行的试验结果表明,本文方法不仅适用且表现稳定,有望为不同设备的室内定位提供支持。 展开更多
关键词 地磁室内行人定位 PSO-pf 地磁序列 行人航迹推算
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DPF和CDPF主动再生排放特性对比分析 被引量:1
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作者 孟忠伟 曾渤淞 +1 位作者 冉格萌 陈钊 《内燃机学报》 EI CAS CSCD 北大核心 2024年第1期35-43,共9页
基于外加热源再生台架和颗粒物加载装置,探究了不同再生温度和碳载量下柴油机颗粒捕集器(DPF)和催化型DPF(CDPF)主动再生时出口气体和颗粒物排放特性.结果表明:催化剂铂(Pt)的涂敷有利于碳黑(PU)的氧化,在相同碳载量条件下,CDPF更易产... 基于外加热源再生台架和颗粒物加载装置,探究了不同再生温度和碳载量下柴油机颗粒捕集器(DPF)和催化型DPF(CDPF)主动再生时出口气体和颗粒物排放特性.结果表明:催化剂铂(Pt)的涂敷有利于碳黑(PU)的氧化,在相同碳载量条件下,CDPF更易产生温度波峰,且再生效率略高于DPF;DPF再生过程中伴随着较高体积分数的CO排放,且升温阶段会出现一个低浓度的核模态颗粒排放窗口,后续再生阶段几乎无颗粒物释放;CDPF再生过程中几乎没有CO生成,但在再生阶段会伴随着大量的30 nm以下的小颗粒释放,且随着再生温度和碳载量的升高,CDPF出口颗粒物浓度逐渐升高.DPF和CDPF再生时分别具有不同优化窗口,既有利于减少颗粒物排放同时又保持较高的再生效率. 展开更多
关键词 柴油机颗粒捕集器 主动再生 气体排放 颗粒物排放
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基于平方根UPF的电力系统鲁棒预测状态估计
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作者 王要强 赵楷 +2 位作者 王义 王克文 梁军 《郑州大学学报(工学版)》 CAS 北大核心 2024年第3期119-126,142,共9页
针对辅助预测状态估计器在迭代计算中会出现状态预测误差协方差矩阵不正定,导致估计精度差甚至发散的问题,提出了基于平方根UPF的电力系统鲁棒辅助预测状态估计。该方法采用两种数学方法:矩阵Cholesky分解因子更新和矩阵QR分解,引入平... 针对辅助预测状态估计器在迭代计算中会出现状态预测误差协方差矩阵不正定,导致估计精度差甚至发散的问题,提出了基于平方根UPF的电力系统鲁棒辅助预测状态估计。该方法采用两种数学方法:矩阵Cholesky分解因子更新和矩阵QR分解,引入平方根技术动态更新状态预测误差协方差矩阵以保持状态预测误差协方差矩阵的正定性。运用MATLAB进行仿真模拟测试,结果表明:IEEE 30节点系统非高斯噪声测试中,平方根UPF电压相角的均方根误差平均值为UPF相应测试值的0.09%,平方根UPF电压幅值的均方根误差平均值为UPF相应测试值的0.14%;IEEE 57节点系统非高斯噪声测试中,平方根UPF电压相角的均方根误差平均值为UPF相应测试值的0.67%,平方根UPF电压幅值的均方根误差平均值为UPF相应测试值的0.57%。所提出的平方根UPF对解决辅助预测状态估计中状态预测误差协方差矩阵不正定的问题具有很好的效果,具有更高估计精度和鲁棒性。 展开更多
关键词 电力系统 无迹粒子滤波 鲁棒辅助预测状态估计 不正定性 平方根Upf
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石墨烯掺杂对B/KNO_(3)/PF激光点火特性的影响
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作者 张景源 李宇轩 +3 位作者 先明春 侯鑫瑞 沈瑞琪 吴立志 《火工品》 CAS CSCD 北大核心 2024年第2期52-57,共6页
为探索常压下石墨烯(Graphene)掺杂对B/KNO_(3)/PF点火和燃烧性能的影响,采用湿混法和冷冻干燥法分别制备了不同石墨烯掺杂量的Graphene/B/KNO_(3)/PF,并使用光电探测器和高速摄影研究了石墨烯掺杂量和装药密度对点火延迟时间和燃烧速... 为探索常压下石墨烯(Graphene)掺杂对B/KNO_(3)/PF点火和燃烧性能的影响,采用湿混法和冷冻干燥法分别制备了不同石墨烯掺杂量的Graphene/B/KNO_(3)/PF,并使用光电探测器和高速摄影研究了石墨烯掺杂量和装药密度对点火延迟时间和燃烧速度的影响规律。结果表明:相对于冷冻干燥法,湿混法制备的Graphene/B/KNO_(3)/PF混合均匀且燃烧速度更高。随着石墨烯掺杂量(0~2 wt%)的增加,Graphene/B/KNO_(3)/PF的平均燃烧速度先增大后减小。装药密度为1.5g·cm^(-3)时,0.8wt%石墨烯掺杂量的Graphene/B/KNO_(3)/PF燃烧速度最大(20.3 mm·s^(-1)),与B/KNO_(3)/PF(14.6 mm·s^(-1))相比增加了39.0%;在装药密度0.8~1.7 g·cm^(-3)范围(0.8 wt%石墨烯掺杂量)内,Graphene/B/KNO_(3)/PF药柱平均燃烧速度随着装药密度的增大而减小。 展开更多
关键词 激光点火 B/KNO3/pf 石墨烯 燃烧速度 点火延迟时间 掺杂量 装药密度
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基于VC-综合赋权法的海上风电APF配置优化方法研究
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作者 盛四清 鲍彦文 《可再生能源》 CAS CSCD 北大核心 2024年第3期370-377,共8页
大容量海上风电机组的接入改变了传统电力系统结构,给电网带来了谐波等问题,影响了电能质量。为抑制海上风电机组产生的低次谐波,文章首先建立了海上风电机组并网电流的低次谐波理论模型;然后,在仿真软件ETAP上搭建海上风电机组仿真模型... 大容量海上风电机组的接入改变了传统电力系统结构,给电网带来了谐波等问题,影响了电能质量。为抑制海上风电机组产生的低次谐波,文章首先建立了海上风电机组并网电流的低次谐波理论模型;然后,在仿真软件ETAP上搭建海上风电机组仿真模型,验证不同出力情况下风电场的输出谐波特性;最后,基于风电场输出谐波特性,提出变异系数(Variation Coefficient,VC)综合赋权法对风电场有源滤波器(APF)进行优化配置,提升了风电场谐波的治理效果。基于实际算例验证了所提方法的有效性。 展开更多
关键词 海上风电机组 低次谐波 VC-综合赋权法 有源滤波器
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基于AGPF的目标定位精度改善方法
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作者 蔡明 李国华 +1 位作者 季茜 李培德 《计算机与数字工程》 2024年第3期841-845,891,共6页
针对传统遗传算法粒子滤波容易因遗传操作参数恒定不变而陷入局部最优的问题,在遗传算法粒子滤波中引入自适应方法,提出自适应遗传算法粒子滤波。根据粒子适应度的大小,动态调节遗传操作的交叉、突变概率,从而在尽可能多地保留优势粒子... 针对传统遗传算法粒子滤波容易因遗传操作参数恒定不变而陷入局部最优的问题,在遗传算法粒子滤波中引入自适应方法,提出自适应遗传算法粒子滤波。根据粒子适应度的大小,动态调节遗传操作的交叉、突变概率,从而在尽可能多地保留优势粒子的同时更有效地产生新的优势粒子,跳出局部最优。将自适应遗传算法粒子滤波应用于动态目标定位模型,并将其与遗传算法粒子滤波的性能进行比较。结果表明,自适应方法的引入可以增加算法有效粒子数,有效解决算法早熟问题,改善滤波精度,对于提高动态目标定位精度是有效的。 展开更多
关键词 动态状态空间模型 自适应 目标定位 遗传算法 粒子滤波
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基于NSGA-Ⅱ与RBF神经网络的DPF结构参数优化
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作者 贾德文 郭岩琦 +2 位作者 雷基林 毕玉华 聂学选 《中国工程机械学报》 北大核心 2024年第1期1-6,共6页
为降低某型号柴油机颗粒捕集器(DPF)在运行过程中的流动阻力,并使其保持较高的捕集效率。采用试验设计方法抽取代表性样本集,并分析影响因素对DPF捕集性能影响的显著性。利用径向基函数(RBF)神经网络构建所选变量与目标函数映射关系代... 为降低某型号柴油机颗粒捕集器(DPF)在运行过程中的流动阻力,并使其保持较高的捕集效率。采用试验设计方法抽取代表性样本集,并分析影响因素对DPF捕集性能影响的显著性。利用径向基函数(RBF)神经网络构建所选变量与目标函数映射关系代理模型,并结合第二代非劣排序遗传算法(NSGA-Ⅱ)与结合熵权的优劣解距离排序法(TOPSIS)得到关于目标函数的一组最优解。结果表明:该型号DPF平均压降降低了14.58%,且DPF平均捕集效率保持99%以上。 展开更多
关键词 柴油机颗粒捕集器 多目标优化 捕集性能 RBF神经网络 NSGA-Ⅱ遗传算法
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一种基于Filter Faster R-CNN的数字PCR液滴检测技术
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作者 张一鹏 陈波 +4 位作者 李家奇 梁业东 张华剑 吴文明 张煜 《南方医科大学学报》 CAS CSCD 北大核心 2024年第2期344-353,共10页
目的研究液滴数字聚合酶链式反应(ddPCR)液滴检测技术,去除图像中灰尘、气泡、芯片表面的划痕以及微小凹陷等因素产生的异常点对结果的影响,实现高通量、稳定和准确的ddPCR液滴的自动检测。方法提出Filter Faster R-CNN ddPCR液滴检测... 目的研究液滴数字聚合酶链式反应(ddPCR)液滴检测技术,去除图像中灰尘、气泡、芯片表面的划痕以及微小凹陷等因素产生的异常点对结果的影响,实现高通量、稳定和准确的ddPCR液滴的自动检测。方法提出Filter Faster R-CNN ddPCR液滴检测模型。使用Faster R-CNN生成液滴预测框,之后使用异常点过滤模块(Filter)去除阳性液滴预测框中的异常点。以诺如病毒片段的质粒为模板进行ddPCR实验,建立一个ddPCR数据集,用于模型的训练(2462例,约占78.56%)和测试(672例,约占21.44%)。对异常点过滤模块的3个过滤支路在验证集上进行消融实验,通过与其他ddPCR液滴检测模型进行比较的对比实验以及进行ddPCR的绝对定量实验。结果在少尘和多尘的环境中,Filter Faster R-CNN阳性液滴准确率为98.23%和88.35%,综合指标F1分数分别达到了99.15%和99.14%,高于其他相比较的模型。独立样本T检验的结果证明,相比未添加过滤模块的网络,添加过滤模块后能够显著提示模型在多尘环境中的阳性准确率。在ddPCR绝对定量实验中,将商业化流式检测设备的结果作为标准浓度,绘制了回归线。结果显示,回归线斜率为1.0005,截距为-0.025,决定系数达到了0.9997,二者结果高度一致。结论本文提出了一种基于Filter Faster R-CNN的ddPCR液滴检测技术,为在多种环境条件下的ddPCR实验提供了鲁棒的液滴检测方法。 展开更多
关键词 ddPCR filter Faster R-CNN 异常点去除
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Underwater four-quadrant dual-beam circumferential scanning laser fuze using nonlinear adaptive backscatter filter based on pauseable SAF-LMS algorithm 被引量:1
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作者 Guangbo Xu Bingting Zha +2 位作者 Hailu Yuan Zhen Zheng He Zhang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第7期1-13,共13页
The phenomenon of a target echo peak overlapping with the backscattered echo peak significantly undermines the detection range and precision of underwater laser fuzes.To overcome this issue,we propose a four-quadrant ... The phenomenon of a target echo peak overlapping with the backscattered echo peak significantly undermines the detection range and precision of underwater laser fuzes.To overcome this issue,we propose a four-quadrant dual-beam circumferential scanning laser fuze to distinguish various interference signals and provide more real-time data for the backscatter filtering algorithm.This enhances the algorithm loading capability of the fuze.In order to address the problem of insufficient filtering capacity in existing linear backscatter filtering algorithms,we develop a nonlinear backscattering adaptive filter based on the spline adaptive filter least mean square(SAF-LMS)algorithm.We also designed an algorithm pause module to retain the original trend of the target echo peak,improving the time discrimination accuracy and anti-interference capability of the fuze.Finally,experiments are conducted with varying signal-to-noise ratios of the original underwater target echo signals.The experimental results show that the average signal-to-noise ratio before and after filtering can be improved by more than31 d B,with an increase of up to 76%in extreme detection distance. 展开更多
关键词 Laser fuze Underwater laser detection Backscatter adaptive filter Spline least mean square algorithm Nonlinear filtering algorithm
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多谐波源接入的城市配电网SAPF优化配置方法
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作者 肖朝霞 张世荣 +3 位作者 马占军 常之良 曹家宁 徐瑞 《电力系统及其自动化学报》 CSCD 北大核心 2024年第1期1-9,共9页
针对分布式光伏和电动汽车充电设施等新谐波源渗透率高及分散接入造成的城市配电网谐波污染分散化与全网化问题,构建一种兼顾配电网谐波治理成本与治理成效的并联型有源电力滤波器选址定容双层优化模型。首先,外、内层模型分别以配电网... 针对分布式光伏和电动汽车充电设施等新谐波源渗透率高及分散接入造成的城市配电网谐波污染分散化与全网化问题,构建一种兼顾配电网谐波治理成本与治理成效的并联型有源电力滤波器选址定容双层优化模型。首先,外、内层模型分别以配电网谐波治理成本最小和电压畸变率最低为目标函数;然后,采用粒子群优化算法和遗传算法分别求解,实现配电网谐波治理效益最高的目标;最后,选取IEEE 33节点系统进行仿真,验证了所建模型对配电网谐波治理装置优化配置的有效性。 展开更多
关键词 分散谐波源 并联有源电力滤波器 双层优化模型 粒子群优化算法 遗传算法
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Estimating the subsolar magnetopause position from soft X-ray images using a low-pass image filter 被引量:1
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作者 Hyangpyo Kim Hyunju K.Connor +9 位作者 Jaewoong Jung Brian M.Walsh David Sibeck Kip D.Kuntz Frederick S.Porter Catriana K.Paw U Rousseau A.Nutter Ramiz Qudsi Rumi Nakamura Michael Collier 《Earth and Planetary Physics》 EI CSCD 2024年第1期173-183,共11页
The Lunar Environment heliospheric X-ray Imager(LEXI)and Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)missions will image the Earth’s dayside magneto pause and cusps in soft X-rays after their respective l... The Lunar Environment heliospheric X-ray Imager(LEXI)and Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)missions will image the Earth’s dayside magneto pause and cusps in soft X-rays after their respective launches in the near future,to specify glo bal magnetic reconnection modes for varying solar wind conditions.To suppo rt the success of these scientific missions,it is critical to develop techniques that extract the magnetopause locations from the observed soft X-ray images.In this research,we introduce a new geometric equation that calculates the subsolar magnetopause position(RS)from a satellite position,the look direction of the instrument,and the angle at which the X-ray emission is maximized.Two assumptions are used in this method:(1)The look direction where soft X-ray emissions are maximized lies tangent to the magnetopause,and(2)the magnetopause surface near the subsolar point is almost spherical and thus RSis nea rly equal to the radius of the magneto pause curvature.We create synthetic soft X-ray images by using the Open Geospace General Circulation Model(OpenGGCM)global magnetohydrodynamic model,the galactic background,the instrument point spread function,and Poisson noise.We then apply the fast Fourier transform and Gaussian low-pass filte rs to the synthetic images to re move noise and obtain accurate look angles for the soft X-ray pea ks.From the filte red images,we calculate RS and its accuracy for different LEXI locations,look directions,and solar wind densities by using the OpenGGCM subsolar magnetopause location as ground truth.Our method estimates RS with an accuracy of<0.3 RE when the solar wind density exceeds>10 cm-3.The accuracy improves for greater solar wind densities and during southward interplanetary magnetic fields.The method ca ptures the magnetopause motion during southwa rd interplaneta ry magnetic field turnings.Consequently,the technique will enable quantitative analysis of the magnetopause motion and help reveal the dayside reconnection modes for dynamic solar wind conditions.This technique will suppo rt the LEXI and SMILE missions in achieving their scientific o bjectives. 展开更多
关键词 soft X-ray MAGNETOPAUSE RECONNECTION low-pass filter LEXI SMILE
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An improved particle filter indoor fusion positioning approach based on Wi-Fi/PDR/geomagnetic field 被引量:1
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作者 Tianfa Wang Litao Han +5 位作者 Qiaoli Kong Zeyu Li Changsong Li Jingwei Han Qi Bai Yanfei Chen 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期443-458,共16页
The existing indoor fusion positioning methods based on Pedestrian Dead Reckoning(PDR)and geomagnetic technology have the problems of large initial position error,low sensor accuracy,and geomagnetic mismatch.In this s... The existing indoor fusion positioning methods based on Pedestrian Dead Reckoning(PDR)and geomagnetic technology have the problems of large initial position error,low sensor accuracy,and geomagnetic mismatch.In this study,a novel indoor fusion positioning approach based on the improved particle filter algorithm by geomagnetic iterative matching is proposed,where Wi-Fi,PDR,and geomagnetic signals are integrated to improve indoor positioning performances.One important contribution is that geomagnetic iterative matching is firstly proposed based on the particle filter algorithm.During the positioning process,an iterative window and a constraint window are introduced to limit the particle generation range and the geomagnetic matching range respectively.The position is corrected several times based on geomagnetic iterative matching in the location correction stage when the pedestrian movement is detected,which made up for the shortage of only one time of geomagnetic correction in the existing particle filter algorithm.In addition,this study also proposes a real-time step detection algorithm based on multi-threshold constraints to judge whether pedestrians are moving,which satisfies the real-time requirement of our fusion positioning approach.Through experimental verification,the average positioning accuracy of the proposed approach reaches 1.59 m,which improves 33.2%compared with the existing particle filter fusion positioning algorithms. 展开更多
关键词 Fusion positioning Particle filter Geomagnetic iterative matching Iterative window Constraint window
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平坦地形条件下改进RPF的TAN方法
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作者 丁鹏 程向红 +2 位作者 杨申申 王磊 沈丹 《中国惯性技术学报》 EI CSCD 北大核心 2024年第8期787-794,共8页
针对地形辅助导航系统中递归地形匹配方法在平坦地形条件下位置估计鲁棒性差的问题,提出了一种基于集合卡尔曼滤波和正则化粒子滤波(RPF)的地形匹配方法。首先分别以航行器的水平位置分量和多波束声纳的高程测量值作为地形匹配系统的状... 针对地形辅助导航系统中递归地形匹配方法在平坦地形条件下位置估计鲁棒性差的问题,提出了一种基于集合卡尔曼滤波和正则化粒子滤波(RPF)的地形匹配方法。首先分别以航行器的水平位置分量和多波束声纳的高程测量值作为地形匹配系统的状态量和观测量,然后采用基于投影的方案补偿航行器姿态变化导致的测深误差,最后利用集合卡尔曼滤波器更新RPF中的条件建议分布以实现递归地形匹配。通过船载湖试数据评估了改进RPF在不同初始匹配位置误差条件下的地形匹配跟踪性能,结果表明:所提地形匹配滤波器能始终保持有界的定位误差,位置跟踪精度和置信区间估计性能较高,在10 m分辨率的先验数字地形图中地形匹配误差均值小于2个网格。 展开更多
关键词 惯性导航 地形辅助导航 集合卡尔曼滤波 粒子滤波器
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DOC+DPF系统对柴油机污染物排放特性的影响 被引量:1
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作者 李顺利 蔡忆昔 +2 位作者 施蕴曦 卢奕睿 朱衎 《江苏大学学报(自然科学版)》 CAS 北大核心 2024年第1期16-23,共8页
对装有氧化催化器(diesel oxidation catalyst,DOC)和颗粒捕集器(diesel particulate filter,DPF)后处理系统的柴油机进行台架试验,利用烟气分析仪(Testo 350XL)和发动机废气排放颗粒物粒径谱仪(TSI EEPS 3090)研究不同负荷下柴油机原机... 对装有氧化催化器(diesel oxidation catalyst,DOC)和颗粒捕集器(diesel particulate filter,DPF)后处理系统的柴油机进行台架试验,利用烟气分析仪(Testo 350XL)和发动机废气排放颗粒物粒径谱仪(TSI EEPS 3090)研究不同负荷下柴油机原机、DOC后和DPF后排气中氮氧化物(NO_(x))和颗粒物(particulate matter,PM)的变化规律.结果表明:负荷大于50.0%时,DOC后的NO_(2)体积分数φ(NO_(2))显著增加,柴油机原机氮氧化物中NO_(2)体积分数φ(NO_(2)/NO_(x))随负荷增加而减小,DOC后和DPF后的φ(NO_(2))、φ(NO_(2)/NO_(x))随负荷增加先减小、后增大;柴油机原机PM排放取决于柴油机的运行工况,不同负荷下DOC的PM去除率为15%~30%,50.0%负荷下DOC的PM去除率最高,为26%;DPF的PM去除率超过90%,经过DPF后核态颗粒体积分数明显增加,聚集态颗粒体积分数明显减小. 展开更多
关键词 柴油机 氧化催化器 颗粒捕集器 颗粒物 排放
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Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication:Progress, Insights and Trends
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作者 Weihao Song Zidong Wang +2 位作者 Zhongkui Li Jianan Wang Qing-Long Han 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第7期1539-1556,共18页
The nonlinear filtering problem has enduringly been an active research topic in both academia and industry due to its ever-growing theoretical importance and practical significance.The main objective of nonlinear filt... The nonlinear filtering problem has enduringly been an active research topic in both academia and industry due to its ever-growing theoretical importance and practical significance.The main objective of nonlinear filtering is to infer the states of a nonlinear dynamical system of interest based on the available noisy measurements. In recent years, the advance of network communication technology has not only popularized the networked systems with apparent advantages in terms of installation,cost and maintenance, but also brought about a series of challenges to the design of nonlinear filtering algorithms, among which the communication constraint has been recognized as a dominating concern. In this context, a great number of investigations have been launched towards the networked nonlinear filtering problem with communication constraints, and many samplebased nonlinear filters have been developed to deal with the highly nonlinear and/or non-Gaussian scenarios. The aim of this paper is to provide a timely survey about the recent advances on the sample-based networked nonlinear filtering problem from the perspective of communication constraints. More specifically, we first review three important families of sample-based filtering methods known as the unscented Kalman filter, particle filter,and maximum correntropy filter. Then, the latest developments are surveyed with stress on the topics regarding incomplete/imperfect information, limited resources and cyber security.Finally, several challenges and open problems are highlighted to shed some lights on the possible trends of future research in this realm. 展开更多
关键词 Communication constraints maximum correntropy filter networked nonlinear filtering particle filter sample-based approximation unscented Kalman filter
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研究胰十二指肠切除术(PD)后胰瘘(PF)发生的危险因素及处理措施
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作者 徐志轩 童朝刚 《中国科技期刊数据库 医药》 2024年第4期0021-0024,共4页
分析胰十二指肠切除术(PD)后胰瘘(PF)发生的危险因素及处理措施。方法 选取安徽医科大学附属巢湖医院以及安徽医科大学第一附属医院高新院区2020年01月-2023年01月间90例PD术后患者作为观察对象,分析PF发生的危险因素及处理措施。结果 ... 分析胰十二指肠切除术(PD)后胰瘘(PF)发生的危险因素及处理措施。方法 选取安徽医科大学附属巢湖医院以及安徽医科大学第一附属医院高新院区2020年01月-2023年01月间90例PD术后患者作为观察对象,分析PF发生的危险因素及处理措施。结果 BMI≥25kg·m-2、术前TBIL≥178.66μmol/L、胰腺质地软、胰管直径<3mm、术前血清白蛋白水平<35 g/L、术前黄疸等是PF发生的危险因素;90例患者中,发生20例PF,发生率为22.22%。结论 PF为PD术后常见并发症,而BMI、术前胆红素水平、术前血清白蛋白水平<35 g/L、术前黄疸等是PF发生的主要影响因素,需要在分析相关危险因素的基础上,采取对应防治措施,降低PF发生率。 展开更多
关键词 PD pf 危险因素 处理措施
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A dual adaptive unscented Kalman filter algorithm for SINS-based integrated navigation system
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作者 LYU Xu MENG Ziyang +4 位作者 LI Chunyu CAI Zhenyu HUANG Yi LI Xiaoyong YU Xingkai 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期732-740,共9页
In this study, the problem of measuring noise pollution distribution by the intertial-based integrated navigation system is effectively suppressed. Based on nonlinear inertial navigation error modeling, a nested dual ... In this study, the problem of measuring noise pollution distribution by the intertial-based integrated navigation system is effectively suppressed. Based on nonlinear inertial navigation error modeling, a nested dual Kalman filter framework structure is developed. It consists of unscented Kalman filter (UKF)master filter and Kalman filter slave filter. This method uses nonlinear UKF for integrated navigation state estimation. At the same time, the exact noise measurement covariance is estimated by the Kalman filter dependency filter. The algorithm based on dual adaptive UKF (Dual-AUKF) has high accuracy and robustness, especially in the case of measurement information interference. Finally, vehicle-mounted and ship-mounted integrated navigation tests are conducted. Compared with traditional UKF and the Sage-Husa adaptive UKF (SH-AUKF), this method has comparable filtering accuracy and better filtering stability. The effectiveness of the proposed algorithm is verified. 展开更多
关键词 Kalman filter dual-adaptive integrated navigation unscented Kalman filter(UKF) ROBUST
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Recursive Filtering for Stochastic Systems With Filter-and-Forward Successive Relays
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作者 Hailong Tan Bo Shen +1 位作者 Qi Li Hongjian Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第5期1202-1212,共11页
In this paper,the recursive filtering problem is considered for stochastic systems over filter-and-forward successive relay(FFSR)networks.An FFSR is located between the sensor and the remote filter to forward the meas... In this paper,the recursive filtering problem is considered for stochastic systems over filter-and-forward successive relay(FFSR)networks.An FFSR is located between the sensor and the remote filter to forward the measurement.In the successive relay,two cooperative relay nodes are adopted to forward the signals alternatively,thereby existing switching characteristics and inter-relay interferences(IRI).Since the filter-and-forward scheme is employed,the signal received by the relay is retransmitted after it passes through a linear filter.The objective of the paper is to concurrently design optimal recursive filters for FFSR and stochastic systems against switching characteristics and IRI of relays.First,a uniform measurement model is proposed by analyzing the transmission mechanism of FFSR.Then,novel filter structures with switching parameters are constructed for both FFSR and stochastic systems.With the help of the inductive method,filtering error covariances are presented in the form of coupled difference equations.Next,the desired filter gain matrices are further obtained by minimizing the trace of filtering error covariances.Moreover,the stability performance of the filtering algorithm is analyzed where the uniform bound is guaranteed on the filtering error covariance.Finally,the effectiveness of the proposed filtering method over FFSR is verified by a three-order resistance-inductance-capacitance circuit system. 展开更多
关键词 filterING successive STOCHASTIC
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Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation
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作者 Ke Li Shunyi Zhao +1 位作者 Biao Huang Fei Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第5期1239-1249,共11页
In the era of exponential growth of data availability,the architecture of systems has a trend toward high dimensionality,and directly exploiting holistic information for state inference is not always computationally a... In the era of exponential growth of data availability,the architecture of systems has a trend toward high dimensionality,and directly exploiting holistic information for state inference is not always computationally affordable.This paper proposes a novel Bayesian filtering algorithm that considers algorithmic computational cost and estimation accuracy for high-dimensional linear systems.The high-dimensional state vector is divided into several blocks to save computation resources by avoiding the calculation of error covariance with immense dimensions.After that,two sequential states are estimated simultaneously by introducing an auxiliary variable in the new probability space,mitigating the performance degradation caused by state segmentation.Moreover,the computational cost and error covariance of the proposed algorithm are analyzed analytically to show its distinct features compared with several existing methods.Simulation results illustrate that the proposed Bayesian filtering can maintain a higher estimation accuracy with reasonable computational cost when applied to high-dimensional linear systems. 展开更多
关键词 filterING ESTIMATION ERROR
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