Bistatic Channel Estimation via Monostatic Ranging Feedback
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently estimating bistatic communication channels due to limited data association and sensing capabilities, especially in environments with blockage and clutter, which affects communication data rates and reliability.
Innovation Solution
A method involving wireless communication devices that transmit ranging signals to obtain monostatic ranging channel information and receive feedback to determine bistatic channel information, allowing for the adjustment of communication parameters such as DMRS density, beamforming, and precoding matrices to enhance data rates and reduce overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional channel estimation methods are used in bistatic scenarios, then the system can maintain simple operation, but the measurement precision and reliability of channel estimation deteriorate in environments with blockage and clutter
Solution Approach 1:
The patent introduces monostatic ranging sensing as an intermediary mechanism to indirectly estimate bistatic channel parameters. Instead of directly measuring the bistatic channel between two wireless devices, each device performs monostatic ranging (measuring reflections from surrounding objects) and exchanges ranging feedback information. This intermediary approach enables accurate bistatic channel estimation without requiring complex direct bistatic measurement systems.
Solution Approach 2:
The patent implements a feedback mechanism where wireless devices exchange ranging feedback information containing monostatic ranging channel parameters. Each device transmits its measured delay profile, Doppler profile, and angular profile to the other device, enabling both parties to combine their sensing data and compute accurate bistatic channel estimates. This feedback loop resolves the measurement precision issue while maintaining manageable system complexity.
2Measurement precision
If extensive ranging feedback information is exchanged to improve channel estimation accuracy, then the measurement precision improves, but the loss of time and overhead increases
Solution Approach 1:
The patent performs monostatic ranging sensing in advance before actual bistatic communication occurs. Each wireless device pre-measures its surrounding environment using radar or lidar sensing, obtaining delay profiles, Doppler profiles, and angular profiles of reflected signals. This preliminary sensing allows the devices to have channel estimation data ready before communication begins, reducing real-time overhead and time loss during actual data transmission.
3Measurement precision
If monostatic ranging sensing is performed by both devices to obtain comprehensive channel information, then the measurement precision of bistatic channels improves, but the device complexity and use of energy increases
Solution Approach 1:
The patent merges communication and sensing functions into a unified system. The same wireless communication devices that transmit and receive communication signals also perform radar or lidar ranging sensing using their transceivers. By combining these functions, the system achieves accurate bistatic channel estimation without adding separate dedicated sensing hardware, thereby limiting the increase in energy consumption and device complexity.
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 improves communication data rates and reduces overhead by accurately estimating bistatic channels, enabling better communication efficiency even in challenging environments with blockage and clutter.
Implementation Method 1
The radar signal may be reflected by surrounding objects, referred to as scatterers or scattering clusters, and the resulting radar echoes may be received by the radar transceiver
Data Source
AI summary
Aspects relate to techniques for communication between wireless communication devices using ranging channel information obtained by each of the wireless communication devices. For example, a first wireless communication device may obtain first monostatic ranging channel information based on reflected ranging signals received in response to transmission of a ranging signal. In addition, the first wireless communication device may receive ranging feedback information from a second wireless communication device associated with second monostatic ranging channel information obtained by the second wireless communication device. The first wireless communication device may then determine bistatic channel information from the first monostatic ranging channel information and the ranging feedback information and transmit a message to the second wireless communication device based on the bistatic channel information.