Tracking and data association
The book presents the mathematical tools underlying various algorithms for measurement association and multitarget tracking. These tools rely on techniques of system theory that utilize the state-space model of linear and nonlinear dynamic systems and statistical techniques of estimation and hypothesis testing. The material deals mainly with information processing consisting of data association and state estimation varying from simple parameter estimation through the Kalman filter; manoeuvering targets, multiple targets in clutter. Only the discrete-time case is treated. This material is at the level of a graduate course and it addresses to those interested in computing or dealing with electrical and systems engineering.
scientific article; zbMATH DE number 192826