MIMO Communication Channel Sensing via Spatial Signatures
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Solution Overview
Problem
Current MIMO radar systems primarily interrogate specific physical regions using pulsed RF waveforms and analyze reflected pulses for remote sensing, whereas there is a need for a method that can leverage existing MIMO communication technologies to obtain spatial information about objects within a physical environment by treating the environment as a communication medium.
Innovation Solution
The proposed system utilizes a MIMO communication system with multiple antennas to establish a communication link, analyzing the channel matrix for spatial information variables, such as singular values and channel capacity, to generate signatures that provide information about objects moving within the environment, effectively piggybacking remote sensing onto active communication links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If MIMO radar systems use pulsed RF waveforms to interrogate specific physical regions, then remote sensing capability is achieved, but the system cannot simultaneously maintain continuous communication links and perform sensing
Solution Approach 1:
The patent applies multi-functionality by enabling MIMO communication systems to perform both communication and remote sensing functions simultaneously using the same hardware infrastructure. The communication channels are utilized to carry both data transmission and sensing information, eliminating the need for separate dedicated radar systems while achieving dual functionality.
Solution Approach 2:
The invention merges previously separate communication and sensing systems into a unified MIMO platform. By combining the transmitter, receiver, and signal processing resources of communication systems with sensing capabilities, the patent creates an integrated system that reduces overall complexity while enabling continuous simultaneous operation of both functions.
2Measurement precision
If dedicated radar infrastructure is deployed for remote sensing, then sensing capability is improved, but additional infrastructure increases system complexity and cost
Solution Approach 1:
The patent applies self-service by enabling existing MIMO communication infrastructure to serve dual purposes - its primary communication function plus remote sensing. The communication channels inherently provide the necessary probe signals for sensing, allowing the system to sense environmental characteristics without requiring additional dedicated sensing hardware or infrastructure.
Solution Approach 2:
The invention makes the communication infrastructure universal by enabling it to perform both communication and sensing tasks. The same antennas, transmitters, and receivers used for data transmission are simultaneously utilized to extract spatial information about the environment, eliminating the need for separate dedicated sensing infrastructure.
3Productivity
If MIMO communication channels are used for remote sensing, then continuous real-time sensing is achieved, but channel capacity for data transmission may be affected
Solution Approach 1:
The patent applies extraction by separating sensing information from communication data in the signal processing domain. The system extracts spatial characteristics and environmental information from the communication channels without removing or disrupting the actual communication data flow, allowing both functions to coexist using different information dimensions from the same physical channels.
Solution Approach 2:
The invention segments the information content of MIMO channels into distinct components - communication data and sensing information. By applying signal processing techniques that separate these segments, the system can continuously extract sensing data from channel characteristics while preserving the integrity and capacity of the communication data transmission.
Data Source
AI summary
A technique for sensing a moving object within a physical environment using a MIMO communication link includes generating a channel matrix based upon channel state information of the MIMO communication link. The physical environment operates as a communication medium through which communication signals of the MIMO communication link propagate between a transmitter and a receiver. A spatial information variable is generated for the MIMO communication link based on the channel matrix. The spatial information variable includes spatial information about the moving object within the physical environment. A signature for the moving object is generated based on values of the spatial information variable accumulated over time. The moving object is identified based upon the signature.