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AnadaptiveKalmanfilterfordynamicharmonicstateestim
- Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive
ADPF
- 基于统计决策规则提出自适应采样数粒子滤波算法, 在定义综合性能风险函数的基础, 推导出粒子数与滤波误差方差之间的关系式, 使得在跟踪过程中, 可以根据目标的机动情况在线调节粒子数, 以使跟踪性能 达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验, 结果表明, 自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法, 跟踪性能较基本粒子滤波算法提高了3.17倍。-Based on statistical decision rules of the number of adap
TASL_16(6)_1112-1123
- Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
as
- To improve the boiler drum level control system of a power plant, the three challenging issues encountered include (1) effect of ‘‘false water level’’, (2) controller parameter mismatches due to variant working conditions and (3) signal noise cau
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
rev4
- 强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。-Simulation analysis of passive acoustic detection of a strong active sonar signal interferenc
5
- 在GPS软件接收机和SINS辅助GPS跟踪技术的基础上,提出了一种SINS/GPS超紧致组合导航方案。该超紧致方案在GPS软件接收机的捕获环节中加入了基于相位估计的精细捕获算法,从而提高了频率捕获精度,省略了频率跟踪牵引过程 在信号跟踪环节中,利用SINS位置、速度信息与卫星参数,求取接收机与卫星之间的径向距离和径向距离率,为码环、载波环提供辅助,从而降低了载体动态变化对跟踪环的影响,提高了跟踪环的动态跟踪性能 同时,降低载波环噪声带宽,减小码环相关间隔,从而提高了载波环和码环的跟踪精度。-On
Moving-Object-Detection-and-Tracking
- extracting background Bit-layer-A method of achieving background is presented which detect the moving object with statistics from complex scene. Compared with other methods of achieving image background, this approach can achieve and update s
abc
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background subtraction and frame difference method to achieve the tracking of the movement of the human body to engage in noise and eliminate most of the shadow function
target-tracking
- 目标跟踪的仿真对于产生量测、噪声和杂波的matlab代码-Target tracking simulation for production test, noise and clutter of matlab code
mb_ftracker
- Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementati
kalman-filter
- 假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声。编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, measurement noise is zero mean white noise. Programming using a Kalman filter to achieve tracking moving obj
MP8126_r1.03.pdf
- The MP8126 is a voltage regulator designed to provide efficient, low-noise power to a satellite receiver’s RF LNB (Low Noise Block) converter. It connects using a coaxial cable through a link that is compatible with the European EUTELSAT sp
PHD_Thesis_LiuJing_ECE_2007
- Target tracking has been widely used in different fields such as surveillance, automated guidance systems, and robotics in general. The most commonly used framework for tracking is that of Bayesian sequential estimation. This framework is probabi
Maxwell
- Starting Maxwell’s equations, we derive a sensor model for three-axis magnetometers suitable for localization and tracking applications. The model depends on the relative position between the sensor and the target, orientation of the target and
saoqeng_v11
- ML法能够很好的估计信号的信噪比,滤波求和方式实现宽带波束形成，多目标跟踪的粒子滤波器。- ML estimation method can be a good signal to noise ratio, Filtering summation way broadband beamforming, Multi-target tracking particle filter.
6545
- 解耦，恢复原信号，利用matlab写成的窄带噪声发生，部分实现了追踪测速迭代松弛算法。- Decoupling, restore the original signal, Using matlab written narrowband noise occurs, Partially achieved tracking speed iterative relaxation algorithm.
dingwei
- 文针对高斯噪声环境下静、动态点目标的无线定位、追踪与运动分析等信号 处理问题进行了算法研究,着眼于提高精度与鲁棒性、低成本解决方案、实用化技术 等方面(In this paper, the wireless location, tracking and motion analysis of static and dynamic point targets in Gauss noise environment are presented The algorithm is studied with
Noisetracking
- Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation的code(Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation matlab code)
noise_estimation
- Israel cohen提出的一种跟踪噪声最小值算法，算法在有声段和无声段都可以更新噪声， 但是遇到噪声突然变大的情况，无法解决(A tracking noise minimum algorithm proposed by Israel Cohen, which updates noise in both the vocal and unvoiced segments, However, when the noise suddenly increases, the situation can