Lockheed Martin had two patents in artificial intelligence during Q4 2023. Lockheed Martin Corp’s patent filed in Q4 2023 describes a method of nonlinear RF beamforming that involves receiving a reference RF signal, computing linear beamformed signals, determining frequency content, computing a minimum element-wise magnitude, applying a learned polynomial response, creating a modified amplitude mask, and generating a final beamformed signal. GlobalData’s report on Lockheed Martin gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Lockheed Martin grant share with artificial intelligence as a theme is 50% 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 of nonlinear rf beamforming (Patent ID: US20230344124A1)
Lockheed Martin Corp. has filed a patent for a method of nonlinear RF beamforming that involves receiving a reference RF signal, computing linear beamformed signals, determining frequency content for each signal, selecting a reduced subset of signals, and calculating the minimum element-wise magnitude across this subset. The method further includes computing a FFT of a reference channel signal, determining an amplitude mask ratio, applying a learned polynomial response to create a modified amplitude mask, and using this mask to generate a final beamformed signal through an inverse FFT process.
The system and method described in the patent involve complex signal processing techniques to optimize RF beamforming. By utilizing neural networks and FFT computations, the method aims to enhance the beamforming process by selecting a subset of signals and applying a modified amplitude mask. The patent outlines a detailed process involving linear beamforming, frequency content analysis, and the application of learned responses to improve the final beamformed signal. The use of neural networks and hyperparameters in signal selection highlights the advanced technological approach taken by Lockheed Martin Corp. in this patent application.
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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.
