Description: Bearing Only Tracking在多场景下的仿真程序 是本人在国外读书时研究项目中的导师和同事等共同开发 使用EKF(扩展KALMAN Filter)与PDA联合算法对target进行定位追踪-Bearing Only Tracking in a multi-scenario is the simulation program to study abroad when I research projects, such as mentors and colleagues to develop the use of EKF (extended KALMAN Filter) algorithm combined with the PDA to locate target tracking Platform: |
Size: 9216 |
Author:chris |
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Description: 雷达检测跟踪过程无缝连接过程。 雷达检测跟踪过程无缝连接过程。-Detection and tracking are normally considered separate processes. First the signal processing system associated with a sensor examines the signal to determine whether to call detection. Once detection is called, it is converted to an estimate of one or more of the components of the target s kinematic state, e.g., bearing, position, or velocity. This estimate (contact) is sent to a tracking system that determines whether the contact should be associated with an existing track or used to generate a new one. This process works well in high signal-to-noise ratio (SNR) situations but sacrifices performance in low ones. The tracking community is making progress toward seamless detection and tracking and recovering some of this lost performance. Platform: |
Size: 153600 |
Author:Haiser |
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Description: 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. Platform: |
Size: 1933312 |
Author:Gomaa Haroun |
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Description: In tracking applications target motion is usually best modeled
In a simple fashion using Cartesian coordinates. Unfortunately,
In most syste .... \be target position measurements are provided
In ter.... of range and azlmutb (bearing) witb respect to \be
sensor locatiolL This situation requires eilber converting the
measurements to a Cartesian frame of reference and working
directly on converted measurements or using an extended Kalman
mter (EKF) In mixed coordinates. An accurate means of tracking
with debiased consistent converted measurements is presented
which accurately accounts for the sensor inaccuracies over all
practical geometries and accuracies Platform: |
Size: 614400 |
Author:Gomaa Haroun |
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