Company patents
Cognitive Systems Corp.
Cognitive Systems Corp.'s patent strategy shows a surprising recent decline across its core communication technologies, with Wireless Networks dropping 50.0% in 2025 and Radar / Sonar / Lidar falling 63.2% in 2025, despite both categories experiencing significant growth in 2024. Furthermore, several smaller categories like Physical Transmission & Modulation and Machine Learning & AI have seen a complete cessation of patenting activity so far in 2026, indicating a broad shift in R&D focus or a significant slowdown in patent filings across the board.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
78 US filings (since 2023) · 8 categories · 8 themes
Integration of communication and sensing functionalities within a single wireless system, often by designing waveforms or utilizing reference signals that serve both data transmission and environmental sensing (e.g., ranging, velocity detection) purposes.
Techniques and hardware architectures for optimizing the radio frequency (RF) front-end, antenna systems, and beamforming strategies in wireless networks to improve signal quality, capacity, and interference mitigation.
Methods for acquiring and utilizing accurate channel state information (CSI), including channel estimation and reciprocity transforms, to enable advanced spatial processing techniques like beamforming for improved signal quality and spectral efficiency.
Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.
Methods for designing, transmitting, and utilizing specific reference signals (e.g., DMRS, SRS, PT-RS) to enable accurate channel estimation, interference measurement, synchronization, or sensing in wireless communication systems.
Systems and methods for monitoring, controlling, and optimizing the movement of unmanned aerial vehicles (UAVs) and other aircraft, including real-time connectivity, flight planning, and route modification.
Techniques and circuits designed to detect, estimate, and mitigate various physical layer signal impairments such as frequency spurs, phase noise, or non-linear distortions, thereby improving overall signal quality and system performance.
Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.
Patents
Showing 1-2 of 2
Multi-modal Sensor Fusion