A contribution to performance prediction for probabilistic dataassociation tracking filters

Kershaw D.J.; Evans R.J.

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A contribution to performance prediction for probabilistic dataassociation tracking filters

机译：为概率数据关联跟踪过滤器的性能预测做出贡献

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The probabilistic data association (PDA) algorithm for tracking in clutter contains a stochastic (data-dependent) Riccati equation for updating the estimation error covariance matrix. This note details a simple analytic approximation to the stochastic Riccati equation that allows precomputation of the estimation error covariance matrices. The potential of the approximation for performance analysis of PDA-based tracking algorithm is demonstrated using a simple example

机译：用于在混乱中进行跟踪的概率数据关联（PDA）算法包含用于更新估计误差协方差矩阵的随机（与数据相关）Riccati方程。本说明详细介绍了随机Riccati方程的简单解析近似，该方程允许对估计误差协方差矩阵进行预计算。通过一个简单的示例演示了基于PDA的跟踪算法的性能分析近似值的潜力

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《IEEE Transactions on Aerospace and Electronic Systems》 |1996年第3期|p.1143-1148|共6页
作者
Kershaw D.J.; Evans R.J.;
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正文语种 eng
中图分类航空;
关键词
Kalman filters; clutter; covariance matrices; estimation theory; performance evaluation; probability; stochastic systems; target tracking; tracking filters; analytic approximation; clutter; data-dependent Riccati equation; estimation error covariance matrix; performa;

机译：卡尔曼滤波;杂波;协方差矩阵;估计理论;性能评估;概率;随机系统;目标跟踪;跟踪滤波器;解析逼近;杂波;数据相关的Riccati方程;估计误差协方差矩阵;性能;

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1. A contribution to performance prediction for probabilistic data association tracking filters [J] . Kershaw D.J., Evans R.J. IEEE Transactions on Aerospace and Electronic Systems . 1996,第3期

机译：对概率数据关联跟踪过滤器的性能预测的贡献
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3. Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling. [J] . Zhang F, Hancock ER, Goodlett C Medical image analysis . 2009,第1期

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4. Theoretical analysis and performance prediction of tracking in clutter with strongest neighbor filters [C] . Li, X.R., Bar-Shalom, . 1995

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5. Video tracking based on particle filters: Particle allocation, graphical models & performance evaluation. [D] . Pan, Pan. 2009

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6. Probabilistic White Matter Fiber Tracking using Particle Filtering and von Mises-Fisher Sampling [O] . Fan Zhang, Edwin R. Hancock, Casey Goodlett, -1

机译：使用粒子滤波和von Mises-Fisher采样的概率白物质光纤跟踪
7. Probabilistic Imagebased Tracking: Improving Particle Filtering [O] . Daniel Rowe, Ignasi Rius, Xavier Roca, 2014

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A contribution to performance prediction for probabilistic dataassociation tracking filters

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