Target Tracking

Target tracking design and development is challenging if the measurement density is not sparse. Close targets, clutter, or false signal can cause conditions of dense measurements. The tracking algorithms used for a system need to be selected based on the specifics of the application. This article addresses alternative algorithms for both single and multiple target tracking; tracking using either a single sensor of data from multiple sensors (sensor data fusion); and discusses trade-offs considerations for selecting appropriate algorithms for a system. 1 Types of Target Tracking 2 Introduction to Small Target Tracking 3 Single Target Track Maintenance with False Signals 4 Multiple Target Tracking with Data from a Single Sensor 5 Multiple-Sensor (Fusion) Algorithm Architectures 6 Performance Evaluation