Coefficient-Based Signal Filtering for Accurate Parameter Estimation
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Solution Overview
Problem
The integration of sensing and communication technologies in 5G-A networks leads to parameter estimation performance loss due to filtering by the receive-end device, which increases the false alarm rate.
Innovation Solution
A communication method and apparatus that involves sending and receiving signals based on specific coefficients, allowing peer communication apparatuses to perform matched filtering and reduce parameter estimation performance loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the receive-end device performs filtering on the received signal, then the false alarm rate is reduced, but the parameter estimation performance is degraded
Solution Approach 1:
The transmit-end device performs preliminary filtering processing on the sensing signal before transmission. This preliminary action ensures that the signal is optimally conditioned before reaching the receiver, eliminating the need for receive-end filtering that would otherwise degrade parameter estimation performance. The filtering is done in advance at the transmit end, maintaining signal integrity for subsequent parameter estimation while still achieving false alarm rate reduction.
2Reliability
If the receive-end device performs filtering to reduce false alarm rate, then reliability improves, but information loss occurs during filtering
Solution Approach 1:
Filtering is performed preliminarily at the transmit-end device before signal transmission. This ensures that the filtering operation is executed when the signal is still in its original form with complete information, and the filtered signal is then transmitted to the receiver. The receive-end device receives the already-filtered signal without performing additional filtering, thus avoiding information loss that would occur if filtering were performed at the receive end.
3Device complexity
If the transmit-end device sends signals without coefficient-based determination, then device complexity is reduced, but sensing capability is limited
Solution Approach 1:
The transmit-end device determines whether to perform filtering processing on the sensing signal based on a first coefficient. This parameter-based control mechanism allows the system to adapt between different operating modes: when the coefficient indicates high sensing requirements, filtering is applied to enhance sensing capability; when the coefficient indicates lower requirements, filtering is skipped to reduce complexity. This parameter-driven approach enables flexible adaptation of sensing capabilities without permanently increasing device complexity.
Data Source
AI summary
Embodiments of this application relate to the field of communication technologies, and provide a communication method and apparatus, to reduce a parameter estimation performance loss caused by filtering introduced by a receive-end device. According to the method, a first communication apparatus sends first information, where the first information indicates that a first signal [a(i)] and/or a second signal [b(j)] is a signal determined based on [c(h)], or indicates that neither [a(i)] nor [b(j)] is a signal determined based on [c(h)]; and sends the first signal and the second signal, or receives the first signal and the second signal.