Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
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DOI：
10.1002/0471221279
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Y. Bar-Shalom;Xiaorong Li;T. Kirubarajan
中科院分区：
文献类型：
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作者：
Y. Bar-Shalom;Xiaorong Li;T. Kirubarajan
跟踪和导航的状态估计算法的设计和实现的专家覆盖跟踪和导航的应用估计处理从本质上不准确的远程观测的各种数量的估计。它解释了使用线性系统、概率和统计的平衡组合来设计状态估计器。作者提供了必要的背景数学技术的回顾，并提供了在估计的基本概念的概述。然后，他们提供了评估中所有主要问题的详细处理方法，重点是将这些技术应用于实际系统。其他功能包括：*将理论材料应用于实际应用的问题*对交互多模型（IMM）估计器的深入报道*伴侣DynaEst （TM）软件用于MATLAB （TM）实现卡尔曼滤波器和IMM估计器*跟踪滤波器的设计指南适用于从事远程传感器和跟踪工作的工程研究生和工程师，跟踪和导航应用的估计提供了这一重要领域的专家覆盖。
Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include:* Problems that apply theoretical material to real-world applications* In-depth coverage of the Interacting Multiple Model (IMM) estimator* Companion DynaEst (TM) software for MATLAB (TM) implementation of Kalman filters and IMM estimators* Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.