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Simulate bistatic range-only detections using four sensor-emitter pairs. In addition, this example demonstrates how to localize and track multiple targets using bistatic range-only measurements.

Track objects using time difference of arrival (TDOA). This example introduces the challenges of localization with TDOA measurements as well as algorithms and techniques that can be used for tracking single and multiple objects with TDOA techniques.

Use 5G signals to track unmanned aerial vehicles (UAVs) for urban air mobility applications. This example considers that the ground stations are equipped with 5G devices to track the UAVs carrying 5G devices. You can simulate 5G signals in this environment and use them to estimate the time of arrival (TOA) of the signals at each UAV. Furthermore, you can use a multi-object tracking algorithm to process the TOA estimates to localize and track the UAVs.

Track objects using angle-only measurements from spatially distributed and asynchronous passive sensors.

Track multiple targets and create a maritime situational picture with passive sensors. Passive sensors are sensors that do not emit any energy towards their target and rely solely on emissions from the targets for detection. Therefore, passive sensors cannot provide a full position measurement of the detected target. In this example, the passive sensors you use are infrared sensors that scan the region of interest and provide angle-only detections of the targets.

Illustrates the tracking of objects using measurements from spatially-distributed and synchronous passive sensors. In the Passive Ranging Using a Single Maneuvering Sensor, you learned that passive measurements provide incomplete observability of a target's state and how a single sensor can be maneuvered to gain range information. Alternatively, multiple stationary sensors can also be used to gain observability. In this example, you will learn how to track multiple objects by fusing multiple detections from passive synchronous sensors.