Full-Duplex Channel Estimation via Iterative Signal Refinement
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Solution Overview
Problem
Conventional wireless full-duplex technology experiences low communication resource utilization due to frequent transmission of pilot signals for self-interference and communication channel estimation, leading to inefficient use of communication resources.
Innovation Solution
A method for channel estimation that updates self-interference and communication channel estimation values using previous instant values, local-end transmission signals, and opposite-end transmission signals, reducing the need for frequent pilot signal transmission by employing specific channel estimation formulas to iteratively refine channel estimates over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pilot signals are transmitted frequently for channel estimation, then channel estimation accuracy is improved, but communication resource utilization deteriorates
Solution Approach 1:
The patent applies preliminary action by performing initial channel estimation using pilot signals, then using the obtained channel state information to predict future channel conditions without requiring frequent new pilot transmissions. This allows the system to maintain accurate channel estimates while reducing pilot signal overhead, directly resolving the contradiction between estimation accuracy and resource utilization.
Solution Approach 2:
The patent implements feedback mechanisms where channel estimation results from previous transmissions are fed back into the system to continuously refine channel state information. This feedback loop enables the system to track channel variations over time using existing estimation data rather than relying solely on frequent pilot signals, thereby improving resource utilization while maintaining estimation accuracy.
2Measurement precision
If pilot signals are transmitted frequently for self-interference channel estimation, then self-interference cancellation accuracy is improved, but communication resource utilization deteriorates
Solution Approach 1:
The patent merges the estimation of self-interference channels with communication channels by using unified channel estimation techniques. Instead of separately transmitting dedicated pilot signals for self-interference estimation, the system combines both estimation functions into a single process using available pilot signals, thereby reducing overall pilot overhead while maintaining accurate self-interference cancellation.
Solution Approach 2:
The system applies self-service by using its own transmitted signals and received feedback to continuously estimate and cancel self-interference without requiring external calibration signals. The transceiver uses its previously transmitted data and pilot signals, combined with received signal measurements, to autonomously update self-interference channel estimates, eliminating the need for additional dedicated estimation resources.
Data Source
AI summary
A channel estimation method includes: obtaining a self-interference channel estimation value of an ith moment and a communication channel estimation value of the ith moment, the i being greater than or equal to 0; obtaining a local end transmitting signal of the ith moment; obtaining an opposite end transmitting signal estimation value of the ith moment; and according to the self-interference channel estimation value of the ith moment, the communication channel estimation value of the ith moment, the local end transmitting signal of the ith moment and the opposite end transmitting signal estimation value of the ith moment, obtaining the self-interference channel estimation value and communication channel estimation value of an i+1 moment, and the i+1 moment differing from the i moment by 1 unit of time.