Pseudo-monostatic RF Sensing via Coordinated Duplex Mode
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current RF sensing technologies face challenges in supporting duplex mode operations for simultaneous transmission and reception, which is essential for sensing applications like sleep status monitoring and proximity detection, due to limitations in existing RF devices that do not support simultaneous transmission and reception.
Innovation Solution
The implementation of pseudo-monostatic sensing mode using RF devices, where two devices coordinate to transmit and receive RF signals simultaneously, enabling the reuse of existing RF transmitters and receivers to perform sensing tasks such as motion and breathing rate detection, exercise monitoring, and proximity detection by establishing wireless links and converting signals to channel impulse response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing RF devices are used for sensing, then device compatibility is maintained, but simultaneous transmission and reception (duplex mode) is not supported
Solution Approach 1:
The patent introduces a coordinator device that acts as an intermediary to manage transmission and reception operations between RF devices. The coordinator schedules and coordinates the timing of signal exchanges, enabling pseudo-duplex operation where one device transmits while another receives, thereby achieving simultaneous transmission and reception capabilities without requiring hardware modifications to existing RF devices.
2Productivity
If two devices coordinate to transmit and receive simultaneously, then sensing capabilities are enhanced, but device complexity increases
Solution Approach 1:
The patent segments the sensing functionality into distinct operational modes (e.g., transmission phase, reception phase, coordination phase) that can be executed in a coordinated manner between two devices. By dividing the complex sensing task into manageable segments with clearly defined roles for each device, the system achieves enhanced sensing throughput while keeping individual device complexity manageable through role specialization.
3Measurement precision
If RF signals are exchanged between two devices, then sensing accuracy is improved, but signal interference increases
Solution Approach 1:
The patent implements periodic action by establishing time-divided transmission and reception cycles between the two RF devices. During each period, one device transmits while the other receives, then they switch roles in the next period. This periodic coordination eliminates simultaneous transmission conflicts and reduces signal interference, while still enabling accurate sensing through multiple measurement opportunities over time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for effective duplex mode operation, enabling accurate sensing of human presence, sleep status, exercise information, and proximity detection, enhancing the capabilities of existing RF devices in wireless networks.
Implementation Method 1
extracting a doppler pattern from the signal information to estimate, for a time period in which the human is determined to be exercising, exercise information including a burned calories and a number of repetitions of a movement
Data Source
AI summary
A computer-implemented method for multi-device sensing at a first device in a wireless network, comprising: determining, by the first device, whether the first device operates in a mode in which the first device and a second device coordinate to simultaneously transmit and receive radio frequency (RF) signals and the first device is within a distance of the second device, exchanging, by the first device, RF signals with the second device, obtaining, by communicating with the second device, signal information from the exchanged RF signals, and performing sensing based on the signal information