20240037426. AUTOMATIC DEPENDENT SURVEILLANCE BROADCAST (ADS-B) SYSTEM PROVIDING ANOMALY DETECTION AND RELATED METHODS simplified abstract (Eagle Technology, LLC)

AUTOMATIC DEPENDENT SURVEILLANCE BROADCAST (ADS-B) SYSTEM PROVIDING ANOMALY DETECTION AND RELATED METHODS

Organization Name

Eagle Technology, LLC

Inventor(s)

MARK D. Rahmes of MELBOURNE FL (US)

KEVIN L. Fox of PALM BAY FL (US)

GRAN Roe of MELBOURNE FL (US)

CHRISTOPHER JASON Berger of LEESBURG VA (US)

RALPH Smith of OAK HILL VA (US)

TIMOTHY B. Faulkner of PALM BAY FL (US)

ROBERT Konczynski of MELBOURNE FL (US)

KEVIN R. Niewoehner of STAFFORD VA (US)

AUTOMATIC DEPENDENT SURVEILLANCE BROADCAST (ADS-B) SYSTEM PROVIDING ANOMALY DETECTION AND RELATED METHODS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240037426 titled 'AUTOMATIC DEPENDENT SURVEILLANCE BROADCAST (ADS-B) SYSTEM PROVIDING ANOMALY DETECTION AND RELATED METHODS

Simplified Explanation

The patent application describes an automatic dependent surveillance broadcast (ADS-B) system that includes multiple ADS-B terrestrial stations. Each station consists of an antenna and wireless circuitry with a station gain pattern. The system also includes a controller with a variational autoencoder (VAE) that compresses the station pattern data from the terrestrial stations, creates a normal distribution of the compressed data in a latent space of the VAE, and decompresses the compressed station pattern data. The controller further includes a processor that processes the decompressed station pattern data using different probabilistic models selected based on a game theoretic reward matrix. The processor determines anomalies from the processed data and generates alerts based on the detected anomalies.

• The system includes multiple ADS-B terrestrial stations with antennas and wireless circuitry.
• A controller with a variational autoencoder (VAE) compresses and decompresses the station pattern data.
• The VAE creates a normal distribution of the compressed data in a latent space.
• A processor processes the decompressed data using different probabilistic models based on a game theoretic reward matrix.
• Anomalies are determined from the processed data.
• Alerts, such as station-specific alerts, are generated based on the detected anomalies.

Potential Applications:

• Air traffic control: The ADS-B system can be used for monitoring and managing air traffic by detecting anomalies in station pattern data and generating alerts for potential issues or threats.
• Aviation safety: The system can contribute to enhancing aviation safety by identifying abnormal patterns in ADS-B data and providing timely alerts for potential risks or malfunctions.
• Aircraft tracking: By analyzing ADS-B data from multiple terrestrial stations, the system can help track and monitor the movement of aircraft, ensuring accurate and reliable information for air traffic management.

Problems Solved:

• Detection of anomalies: The system addresses the challenge of identifying anomalies in ADS-B station pattern data by utilizing a variational autoencoder and probabilistic models.
• Timely alerts: By generating alerts based on the determined anomalies, the system enables prompt response to potential issues or threats in air traffic.

Benefits:

• Improved air traffic management: The system's ability to detect anomalies and generate alerts helps enhance the efficiency and safety of air traffic control operations.
• Enhanced aviation safety: By monitoring and analyzing ADS-B data, the system contributes to identifying potential risks or malfunctions, thereby improving overall aviation safety.
• Accurate aircraft tracking: The system's utilization of multiple terrestrial stations and pattern data analysis ensures accurate and reliable tracking of aircraft movements.

Original Abstract Submitted

an automatic dependent surveillance broadcast (ads-b) system may include a plurality of ads-b terrestrial stations, with each ads-b terrestrial station comprising an antenna and wireless circuitry associated therewith defining a station gain pattern. the system may further include a controller including a variational autoencoder (vae) configured to compress station pattern data from the plurality of ads-b terrestrial stations, create a normal distribution of the compressed data in a latent space of the vae, and decompress the compressed station pattern data from the latent space. the controller may also include a processor coupled to the vae and configured to process the decompressed station pattern data using a probabilistic model selected from among different probabilistic models based upon a game theoretic reward matrix, determine an anomaly from the processed decompressed station pattern data, and generate an alert (e.g., a station specific alert) based upon the determined anomaly.