Qualcomm incorporated (20240337744). ENHANCED DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT AND MULTIPLE-OUTPUT (MIMO) SENSING BASED ON DOPPLER SPECTRUM PUNCTURING simplified abstract
Contents
- 1 ENHANCED DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT AND MULTIPLE-OUTPUT (MIMO) SENSING BASED ON DOPPLER SPECTRUM PUNCTURING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ENHANCED DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT AND MULTIPLE-OUTPUT (MIMO) SENSING BASED ON DOPPLER SPECTRUM PUNCTURING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about Wireless Communications
- 1.11 Original Abstract Submitted
ENHANCED DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT AND MULTIPLE-OUTPUT (MIMO) SENSING BASED ON DOPPLER SPECTRUM PUNCTURING
Organization Name
Inventor(s)
Weimin Duan of San Diego CA (US)
Jing Jiang of San Diego CA (US)
Kangqi Liu of San Diego CA (US)
ENHANCED DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT AND MULTIPLE-OUTPUT (MIMO) SENSING BASED ON DOPPLER SPECTRUM PUNCTURING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240337744 titled 'ENHANCED DOPPLER DIVISION MULTIPLEXING (DDM) MULTIPLE-INPUT AND MULTIPLE-OUTPUT (MIMO) SENSING BASED ON DOPPLER SPECTRUM PUNCTURING
Simplified Explanation
The patent application describes systems and techniques for wireless communications using phase codes and frequency modulated carrier waves to sense and mitigate Doppler ambiguity in echo signals from targets.
- The network device transmits sensing signals with phase codes and FMCW to detect targets.
- Each phase code corresponds to Doppler spectrum patterns to analyze echo signals.
- Doppler ambiguity in the echo signals is reduced based on the Doppler spectrum patterns.
Key Features and Innovation
- Wireless communication system utilizing phase codes and FMCW for sensing targets.
- Mitigation of Doppler ambiguity in echo signals through analysis of Doppler spectrum patterns.
Potential Applications
This technology can be applied in radar systems, autonomous vehicles, and surveillance systems for accurate target detection and tracking.
Problems Solved
- Addressing Doppler ambiguity in wireless communication systems.
- Enhancing the accuracy of target sensing and tracking.
Benefits
- Improved target detection and tracking capabilities.
- Enhanced reliability and efficiency in wireless communication systems.
Commercial Applications
- Title: Advanced Wireless Communication System for Target Detection
- This technology can be commercialized for military radar systems, traffic monitoring, and industrial automation for precise object detection and tracking.
Questions about Wireless Communications
How does the use of phase codes and FMCW improve target sensing in wireless communications?
The use of phase codes and FMCW allows for accurate detection and tracking of targets by analyzing Doppler spectrum patterns in echo signals.
What are the potential commercial applications of this wireless communication technology?
This technology can be utilized in various industries such as defense, transportation, and manufacturing for enhanced target detection and tracking capabilities.
Original Abstract Submitted
disclosed are systems and techniques for wireless communications. for example, a network device can transmit a sensing signal for sensing one or more targets. the transmitted sensing signal and at least one sensing signal transmitted by at least one other network device of the plurality of network devices includes one or more phase codes and a same frequency modulated carrier wave (fmcw). each phase code of each sensing signal corresponds to one or more doppler spectrum patterns. the network device can receive at least one echo signal from the one or more targets. the network device can mitigate doppler ambiguity in a doppler spectrum from the at least one echo signal based on the one or more doppler spectrum patterns.
