Rohde & Schwarz had two patents in robotics during Q4 2023.The patent filed by Rohde & Schwarz GmbH & Co KG in Q4 2023 describes a system for RF anomaly detection using an unmanned vehicle equipped with RF receivers to record spectral data in an environment. An RF machine learning unit is used to analyze the data and detect anomalies or interferences, with the ability to record baseband signals in case of detection. GlobalData’s report on Rohde & Schwarz gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Rohde & Schwarz grant share with robotics 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: System and method for rf anomaly or interference detection (Patent ID: US20230336259A1)
The patent filed by Rohde & Schwarz GmbH & Co KG describes a system for radio frequency anomaly or interference detection in an environment using an unmanned vehicle equipped with an RF receiver and a machine learning unit. The system records RF spectral data at different locations, analyzes it to detect anomalies, and records baseband signals when anomalies are detected. The system can operate in learning mode to train the machine learning unit and in operating mode to detect anomalies based on previous training.
The system includes an unmanned vehicle that moves through the environment, recording RF spectral data with an RF receiver mounted on it. The RFMLU analyzes the data to detect anomalies, and when an anomaly is detected, the RF receiver records a baseband signal at the location. The system can operate in learning mode to train the RFMLU using supervised or unsupervised learning techniques, and in operating mode to detect anomalies based on the training. Additionally, the unmanned vehicle can generate or update a map of the environment while in learning mode, and location data can be used to indicate the vehicle's current location during operation.
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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.
