Elbit Systems EW And Sigint- Elisra Ltd. (20240381301). SYSTEM AND METHOD FOR TIME-FREQUENCY SEPARATION OF MULTIPLE RADIO SIGNALS simplified abstract
Contents
SYSTEM AND METHOD FOR TIME-FREQUENCY SEPARATION OF MULTIPLE RADIO SIGNALS
Organization Name
Elbit Systems EW And Sigint- Elisra Ltd.
Inventor(s)
Michael Berkovitch of Holon (IL)
Elad Mandelbaum (mandelbaum) of Holon (IL)
SYSTEM AND METHOD FOR TIME-FREQUENCY SEPARATION OF MULTIPLE RADIO SIGNALS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240381301 titled 'SYSTEM AND METHOD FOR TIME-FREQUENCY SEPARATION OF MULTIPLE RADIO SIGNALS
The system described in the patent application is designed to separate overlapping radio signals received from multiple emitters over time by analyzing spectrograms.
- The processing circuitry uses image analysis to identify regions in the spectrograms where multiple radio signals overlap in the time-frequency domain.
- Within these regions, the system decomposes the overlapping signals into separate representations using bounding boxes.
- By utilizing these separate signal representations, the system can perform various actions to analyze and process the individual signals.
Potential Applications: - Signal processing in radio communication systems - Spectrum monitoring and management in wireless networks - Interference detection and mitigation in crowded radio frequency environments
Problems Solved: - Efficient separation of overlapping radio signals for accurate analysis - Improved signal processing capabilities in complex radio frequency scenarios
Benefits: - Enhanced signal detection and identification - Increased accuracy in analyzing radio frequency data - Improved performance in crowded and noisy signal environments
Commercial Applications: Title: Radio Signal Separation System for Enhanced Spectrum Analysis This technology can be utilized in telecommunications, military communications, and IoT devices to optimize signal processing and improve overall system performance.
Questions about the technology: 1. How does the system determine the regions of overlapping signals in the spectrograms? 2. What are the key advantages of using image analysis for signal separation in radio frequency applications?
Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques to improve the efficiency and accuracy of signal separation in radio communication systems. Stay updated on the latest advancements in this field to enhance the performance of your signal processing applications.
Original Abstract Submitted
a system for time-frequency separation based on image analysis of one or more spectrograms of multiple radio signals received over time from one or more emitters, the system comprising a processing circuitry configured to: determine, using image analysis, a region of at least one of the spectrograms containing representations of a superposition of two or more overlapping radio signals of the radio signals, the overlapping radio signals being representations of radio signals sharing a common time-frequency within the at least one of the spectrograms; decompose the superposition of the two or more overlapping radio signals within the region into separate signal representations, wherein each given separate signal representation of the separate signal representations is expressed by a corresponding bounding box around the given separate signal representation; and perform, utilizing the separate signal representations, one or more actions.
