L3Harris Technologies had five patents in artificial intelligence during Q4 2023.The patent filed by L3Harris Technologies Inc in Q4 2023 relates to systems and methods for operating a communication device. It involves using machine learning algorithms to analyze signals, determine modulation types, assign modulation classes, and decide on the availability of wireless channels for communication based on the assigned modulation class. This technology allows for selective use of wireless channels for efficient signal communication. GlobalData’s report on L3Harris Technologies gives a 360-degreee 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 60% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for controlling communications based on machine learned information (Patent ID: US20230422292A1)

The patent filed by L3Harris Technologies Inc. describes systems and methods for operating a communication device using machine learning algorithms to determine the modulation type of a signal received, assigning a modulation class, and deciding on the availability of a wireless channel based on this information. The communication device selectively uses the wireless channel for communication based on the results of this determination. The method involves receiving a signal, generating scores representing the likelihood of the signal being modulated using different types, and making decisions on channel availability and usage.

The claims in the patent detail the method for operating the communication device, including the use of cognitive radio, selecting the highest score for modulation class assignment, determining the source of the signal as a primary user, and employing compressive sensing techniques to reduce memory storage requirements for training data. The communication device's processor and programming instructions enable the implementation of these methods, ensuring efficient and effective communication operations based on machine learning algorithms and modulation analysis.

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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.