Search - bearings only tracking

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[File Operate] OnusingLikelihood-adjustedProposalsinParticleFilte DL : 0: An unsatisfactory property of particle filters is that they may become inefficient when the observation noise is low. In this paper we consider a simple-to-implement particle filter, called ‘LIS-based particle filter’, whose aim is to overcome the above mentioned weakness. LIS-based particle filters sample the particles in a two-stage process that uses information of the most recent observation, too. Experiments with the standard bearings-only tracking problem indicate that the proposed new particle filter method is indeed a viable alternative to other methods.
Update : 2008-10-13 Size : 119.6kb Publisher : 阳关
[File Format] OnusingLikelihood-adjustedProposalsinParticleFilte DL : 0: An unsatisfactory property of particle filters is that they may become inefficient when the observation noise is low. In this paper we consider a simple-to-implement particle filter, called ‘LIS-based particle filter’, whose aim is to overcome the above mentioned weakness. LIS-based particle filters sample the particles in a two-stage process that uses information of the most recent observation, too. Experiments with the standard bearings-only tracking problem indicate that the proposed new particle filter method is indeed a viable alternative to other methods.
Update : 2025-03-07 Size : 120kb Publisher : 阳关
[matlab] miv DL : 0: 针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制定实际的跟踪策略或算法具有一定的参考价值 -For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value
Update : 2025-03-07 Size : 53kb Publisher : 顾东
[matlab] matlabparticle DL : 0: 基于粒子滤波实现的纯方位目标跟踪，最后证明该算法收敛-Particle filter based on the realization of the bearings-only target tracking, the final proof of the convergence of the algorithm
Update : 2025-03-07 Size : 147kb Publisher : 王军
[Software Engineering] BearingsonlyTargetTrackingmobileoptimizationofobse DL : 0: 纯方位目标跟踪中的观测器机动优化研究和如何实现的方法(2)-Bearings-only Target Tracking mobile optimization of observer and how to implement the method (2)
Update : 2025-03-07 Size : 409kb Publisher : 何学年
[matlab] Bearings-Only-Tracking DL : 0: BOT模型的一种跟踪方法，使用粒子滤波实现-BOT model of a tracking method, using the particle filter implementation
Update : 2025-03-07 Size : 767kb Publisher : zhaolingling
[Program doc] Bearings-only-target-tracking DL : 1: 本文分别就纯方位角跟踪中的机动目标跟踪、有信号传输时延时的跟踪及一类特定的多目标跟踪问题进行了较为系统和深入的研究。首先，针对非机动目标提出一种智能距离参数化无味滤波方法，与传统方法相比，改进了跟踪初始性能、滤波精度以及优化了系统资源。其次，针对机动目标纯方位角跟踪提出一种将交互多模型和核粒子滤波结合的方法，在维持跟踪精度的前提下，大幅减少了所需粒子数，改善了系统实时性。-This paper bearings-only tracking of maneuvering target tracking, signal transmission time delay tracking and a special class of multiple target tracking problem systematically and deeply studied. Firstly, the maneuvering target puts forward an intelligent distance parameters of unscented filtering method, compared with the traditional method, improved the initial tracking performance, the filter accuracy and the optimization of system resources. Secondly, the maneuvering target bearings-only tracking presents an interactive multiple model and kernel particle filter binding method, in the maintenance of the tracking precision, greatly reduces the required number of particles, improves the system real time.
Update : 2025-03-07 Size : 5.54mb Publisher : 于文娟
[Special Effects] Pmatlabpartica DL : 0: 基于粒子滤波实现的纯方位目标跟踪踪，最后证明该算法收敛可直接使用。 -Tracking based on particle filter implementation of the bearings-only target tracking, and finally prove the convergence can be used directly.
Update : 2025-03-07 Size : 147kb Publisher :
[transportation applications] bearings-only-passive-tracking DL : 0: 基于多站纯方位被动定位算法仿真程序（分为CA模型和CA模型，经matlab command window运行通过）-Bearings based on multi-station passive location algorithm simulation program (divided into the CA model and CA model, the matlab command window run through)
Update : 2025-03-07 Size : 6kb Publisher : 莫骅
[Other] Underwater-Bearings-Only-Passive-Target-Tracking- DL : 0: Underwater Bearings-Only Passive Target Tracking Using Estimate Fusion Technique D.V.A.N. Ravi Kumar 1*, S. Koteswara Rao2 and K. Padma Raju3
Update : 2025-03-07 Size : 562kb Publisher : Gomaa Haroun
[Other] Kalman-filter-behavior-in-bearing-only-tracking-a DL : 0: The extended Kalman filter applied to bearings-only target tracking is theoretically analyzed. Closed-form expressions for the state vector and its associated covariance matrix are introduced, and subsequently used to demonstrate how bearing and range estimation errors can interact to cause filter instability (i.e., premature covariance collapse and divergence). Further investigation reveals that conventional initialization techniques often precipitate such anomalous behavior. These results have important practical implications and are not presently being exploited to full advantage.
Update : 2025-03-07 Size : 1.84mb Publisher : Gomaa Haroun
[Other] Target-tracking-with-bearings---Only-measurements DL : 0: The estimation of target position and velocity is attempted on the basis of angular measurements only. This topic is of interest for: airborne radar and sonar in passive listening mode, and electronic warfare systems in these cases the target radiates either an electro-magnetic (e.m.) or an acoustic wave. The measurements are a!ected by white Gaussian noise the presence of outliers is also considered. Two types of tracking lters are presented: (i) one processes a batch of data, (ii) the other recursively processes the data-The estimation of target position and velocity is attempted on the basis of angular measurements only. This topic is of interest for: airborne radar and sonar in passive listening mode, and electronic warfare systems in these cases the target radiates either an electro-magnetic (e.m.) or an acoustic wave. The measurements are a!ected by white Gaussian noise the presence of outliers is also considered. Two types of tracking lters are presented: (i) one processes a batch of data, (ii) the other recursively processes the data
Update : 2025-03-07 Size : 280kb Publisher : Gomaa Haroun
[matlab] EKF_angle DL : 0: 扩展Kalman滤波在纯方位目标跟踪中的应用实例-Application of Extended Kalman Filter in Bearings- only Target Tracking
Update : 2025-03-07 Size : 1kb Publisher : yangshaoke
[Other] ckf1 DL : 1: 可以解决纯方位跟踪系统的CKF滤波，针对单个两个平台之间。(It can solve the CKF filtering of bearings only tracking system for single two platforms.)
Update : 2025-03-07 Size : 1kb Publisher : 于于于于