L3Harris Technologies. has filed a patent for an ADS-B system with terrestrial stations and a controller using a variational autoencoder to compress and decompress station pattern data. The processor then analyzes the data using different probabilistic models 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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According to GlobalData’s company profile on L3Harris Technologies, AR/VR head-up displays was a key innovation area identified from patents. L3Harris Technologies's grant share as of January 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.

Ads-b system with anomaly detection and alert generation

Source: United States Patent and Trademark Office (USPTO). Credit: L3Harris Technologies Inc

A newly filed patent (Publication Number: US20240037426A1) describes an innovative Automatic Dependent Surveillance Broadcast (ADS-B) system. The system includes a plurality of ADS-B terrestrial stations, each equipped with an antenna and wireless circuitry defining a station gain pattern. A controller within the system utilizes a variational autoencoder (VAE) to compress station gain pattern data from the terrestrial stations, create a normal distribution of the compressed data in a latent space, and decompress the data. A processor then processes the decompressed data using different probabilistic models selected based on a game theoretic reward matrix to determine anomalies and generate alerts accordingly.

Furthermore, the patent details the configuration of the VAE to compress and decompress data with different sets of weights, allowing for updates based on detected losses in the processed data. The system also considers historical gain pattern data for antennas when processing decompressed data and offers alerts for service based on anomalies detected. The patent outlines a method for operating the ADS-B system, emphasizing the use of VAE for compression and decompression, as well as the processor for anomaly detection and alert generation. The method includes updating weights based on detected losses, processing data based on historical patterns, and utilizing various deep learning models for probabilistic analysis. Overall, the patent showcases a sophisticated ADS-B system with advanced data processing capabilities for improved surveillance and alert mechanisms.

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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.