L3Harris Technologies had two patents in artificial intelligence during Q1 2024. The patent filed by L3Harris Technologies Inc in Q1 2024 describes an Automatic Dependent Surveillance Broadcast (ADS-B) system that utilizes ADS-B terrestrial stations with antennas and wireless circuitry. The system includes a controller with a variational autoencoder (VAE) to compress station pattern data, create a normal distribution in a latent space, and process the decompressed data using different probabilistic models based on a reward matrix to detect anomalies and generate alerts. GlobalData’s report on L3Harris Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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L3Harris Technologies grant share with artificial intelligence as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Automatic dependent surveillance broadcast (ADS-B) system providing anomaly detection and related methods (Patent ID: US20240037426A1)

The patent filed by L3Harris Technologies Inc. describes an Automatic Dependent Surveillance Broadcast (ADS-B) system that includes multiple terrestrial stations, each with an antenna and wireless circuitry defining a station gain pattern. A controller within the system utilizes a variational autoencoder (VAE) to compress station pattern data, create a normal distribution in a latent space, and then decompress the data. A processor connected to the VAE processes the decompressed data using different probabilistic models selected based on a game theoretic reward matrix to detect anomalies and generate alerts, such as station-specific alerts.

The system's claims detail the components and functions of the ADS-B system, including the VAE compressing and decompressing data with different weights, updating weights based on detected losses, processing data based on historical gain patterns, and utilizing various deep learning models for probabilistic analysis. The alerts generated by the system can include service alerts for maintenance or performance improvements. The method outlined in the patent involves using the VAE and processor to compress, decompress, process, and analyze station pattern data to detect anomalies and issue alerts based on the determined anomalies, showcasing a comprehensive approach to monitoring and managing ADS-B terrestrial stations.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.