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...

Buy Now From Amazon

Product Review

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.



Similar Products

Tracking and Kalman Filtering Made EasyDeep Learning (NONE)Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)Fundamentals of Radar Signal Processing, Second Edition (McGraw-Hill Professional Engineering)Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14Orbital Mechanics for Engineering Students (Aerospace Engineering)Kalman Filtering: Theory and Practice with MATLAB (Wiley - IEEE)Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems