角度専用センサー、バイスタティック センサー、および到着時間センサーによる追跡
これらの例では、レンジ専用センサー、角度専用センサー、到着時間センサーなど、可観測性が限られたセンサーを使用してターゲットを追跡します。
注目の例
Multistatic Localization of a Ship Using GPS Illuminations
Examines locating and rescuing a ship that gets lost a few kilometers north of Cape Cod during the night. A rescue team stationed at a nearby lighthouse aims at locating the ship. Equipped with a Global Positioning System (GPS) device capable of accessing GPS satellites, they utilize the device to receive GPS signals reflecting off the ship, enabling them to pinpoint its location.
- R2025a 以降
- ライブ スクリプトを開く
Tracking Using Bistatic Range Detections
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.
到着時間差 (TDOA) を使用したオブジェクト追跡
この例では、到着時間差 (TDOA) を使用してオブジェクトを追跡する方法を示します。この例では、TDOA 測定による位置推定の課題のほか、TDOA 手法で単一および複数のオブジェクトの追跡に使用できるアルゴリズムと手法を紹介します。
- R2022a 以降
- ライブ スクリプトを開く
Vehicle Tracking for Urban Air Mobility Using 5G Position Reference Signal
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.
- R2023b 以降
- ライブ スクリプトを開く
Asynchronous Angle-only Tracking with GM-PHD Tracker
Track objects using angle-only measurements from spatially distributed and asynchronous passive sensors.
- R2022b 以降
- ライブ スクリプトを開く
Angle-Only Tracking with Passive Scanning 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.
- R2023b 以降
- ライブ スクリプトを開く
Tracking Using Distributed Synchronous Passive Sensors
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.
802.11az Three-Dimensional Tracking Using Time of Arrival Estimation
Use an IEEE 802.11az Wi-Fi network to track Wi-Fi devices in a three-dimensional space using time of arrival (TOA) estimation.
- R2024b 以降
- ライブ スクリプトを開く
Source Localization and Tracking with Passive Receivers
A passive source localization (PSL) sensor network consists of spatially distributed passive sensors to detect, localize, and track target emitters. The passive sensors are non-transmitting receivers and hence are covert and low-cost. These benefits make PSL sensor networks attractive in many applications, such as air surveillance, acoustic source localization, etc. This example shows how to localize and track targets in a PSL sensor network.
- R2024b 以降
- ライブ スクリプトを開く
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