영공 추적
아래의 예제에서는 항공 교통 관제와 일반 레이다 감시를 위해 영공 내의 표적을 추적합니다.
추천 예제
Track Heterogeneous Aircraft using Heterogeneous Sensors
Track heterogeneous aircraft using data collected by heterogeneous sensors. In the example, you track commercial passenger aircraft, general aviation aircraft, and helicopters flying in the airspace near the Logan International Airport in Boston, MA. You use active and passive radars and their outputs to track the aircraft using a JIPDATracker
.
- R2024b 이후
- 라이브 스크립트 열기
Air Traffic Control
Generate an air traffic control scenario, simulate radar detections from an airport surveillance radar (ASR), and configure a global nearest neighbor (GNN) tracker to track the simulated targets using the radar detections. This enables you to evaluate different target scenarios, radar requirements, and tracker configurations without needing access to costly aircraft or equipment. This example covers the entire synthetic data workflow.
Simulate and Track En-Route Aircraft in Earth-Centered Scenarios
Use an Earth-Centered trackingScenario
and a geoTrajectory
object to model a flight trajectory that spans thousands of kilometers. You use two different models to generate synthetic detections of the airplane: a monostatic radar and ADS-B reports. You use a multi-object tracker to estimate the plane trajectory, compare the tracking performance, and explore the impact that ADS-B provides on the overall tracking quality.
Simulate, Detect, and Track Anomalies in a Landing Approach
The example shows how to automatically detect deviations and anomalies in aircraft making final approaches to an airport runway. In this example, you will model an ideal landing approach trajectory and generate variants from it, simulate radar tracks, and issue warnings as soon as the tracks deviate from safe landing rules.
Multiplatform Radar Detection Fusion
Fuse radar detections from a multiplatform radar network. The network includes two airborne and one ground-based long-range radar platforms. See the Multiplatform Radar Detection Generation example for details. A central tracker processes the detections from all platforms at a fixed update interval. This enables you to evaluate the network's performance against target types, platform maneuvers, as well as platform configurations and locations..
Adaptive Tracking of Maneuvering Targets with Managed Radar
Use radar resource management to efficiently track multiple maneuvering targets. Tracking maneuvering targets requires the radar to revisit the targets more frequently than tracking non-maneuvering targets. An interacting multiple model (IMM) filter estimates when the target is maneuvering. This estimate helps to manage the radar revisit time and therefore enhances the tracking. This example uses the Radar Toolbox™ for the radar model and Sensor Fusion and Tracking Toolbox™ for the tracking.
Air Traffic Control in Simulink
Create a tracking system for an air traffic control center using a global nearest neighbor (GNN) tracker in Simulink.
- R2022b 이후
- 라이브 스크립트 열기
MATLAB 명령
다음 MATLAB 명령에 해당하는 링크를 클릭했습니다.
명령을 실행하려면 MATLAB 명령 창에 입력하십시오. 웹 브라우저는 MATLAB 명령을 지원하지 않습니다.
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