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结合马尔可夫过程，提出一种概率论的声源定位算法，并给出了基于DSP的机器人实现。其中声源定位部分采用三个麦克风呈三角形放置，为减小由于噪声等引起的TDOA估计误差，采用马尔可夫过程计算时延，这样计算的时延会更可靠。该方案中的声源定位也属于一维定位，即只需知道声源的方向角-Combination of Markov process, a probability theory of sound source location algorithm, and give the robot based o
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论文以增加频率变化率和波达角变化率两个观测量的定位与跟踪方法为基础，讨论其
定位与跟踪算法、频率变化率精确估计、波达角及其变化率的精确估计三个方面的关键技
术。-Paper to increase the frequency rate and the rate of change of direction of arrival of two measurements with positioning and tracking method based on discussion of p
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Altitude location for UAV by using federated filter
is discussed, the fourth structure is selected, because its two
sub-filters involving altitude sensor and the difference Global
Positioning System (d-GPS) respectively are fully isolated from
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介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。-Our toolbox currently contains implementations of robust
methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal
component analysis (RAPCA, ROB
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以LOS时差定位算法为基础的新型NLOS定位估计,TOA，非视距。-A Novel ToA Location Algorithm Using LoS Range Estimation for NLoS Environments
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We consider the source localization problem using
time-difference-of-arrival (TDOA) measurements in sensor networks.
The maximum likelihood (ML) estimation of the source
location can be cast as a nonlinear/nonconvex optimization
problem,
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Awareness of the physical location for each node
is required by many wireless sensor network applications. The
discovery of the position can be realized utilizing range measurements
including received signal strength, time of arrival, time
di
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Array signal processing, is a part of signal processing that uses sensors that are organized in patterns, or arrays, to detect signals and to determine information about them. Accurate estimation of a signal direction of arrival (DOA) has received co
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针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在
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