£127.00

Artech House Bayesian Multiple Target Tracking (Radar S.)

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Description

Master complex tracking challenges with Bayesian Multiple Target Tracking by Artech House. This technical resource uses the Bayesian inference framework to help you design and develop mathematically sound algorithms for advanced tracking problems. It is specifically built for scenarios involving multiple targets, multiple sensors, and multiple platforms. Readers will learn how to implement non-linear Multiple Hypothesis Tracking and the Theory of United Tracking. These methods are essential when you must perform multiple target tracking without direct contacts or associations. The book provides a clear path for managing situations where observations are non-linear functions of the target site. By using detailed examples to illustrate developed concepts and approaches, this book serves as a practical guide for engineers and researchers. Whether you are working on sensor fusion or complex radar systems, this text provides the mathematical foundation needed to build reliable tracking algorithms in challenging environments.

Key Features

Develop mathematically sound algorithms using the Bayesian inference framework for complex tracking scenarios.

Solve problems involving multiple targets, multiple sensors, and multiple platforms within a single system.

Implement non-linear Multiple Hypothesis Tracking to manage difficult tracking environments.

Apply the Theory of United Tracking for effective performance when contacts or associations are unavailable.

Utilize detailed examples to understand and apply developed concepts, algorithms, and mathematical approaches.

Address non-linear observations of target sites through proven technical methodologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 July 1999
Listed Since
23 January 2007

Barcode

No barcode data available

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