Transmit Signal Preprocessing for Matched Filtering in Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems suffer from reduced sensing performance due to filtering at the receive-end device, which introduces false alarms and compromises the accuracy of sensing data.
Innovation Solution
The transmit-end device processes symbols using specific coefficients to generate signals that allow the receive-end device to perform matched filtering, thereby reducing performance loss and improving sensing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the receive-end device performs filtering on echo signals, then the false alarm rate in target detection is reduced, but the sensing data accuracy deteriorates
Solution Approach 1:
The transmit-end device performs preliminary processing on the sensing signal using a first coefficient before transmission. This preliminary action ensures that the signal is pre-optimized for matched filtering at the receive end, allowing the receive-end filter to reduce false alarms without significantly degrading sensing data accuracy. The preprocessing includes modifying the signal based on the first coefficient, which is then used by the receive-end device for filtering operations.
2Measurement precision
If the transmit-end device processes symbols with coefficients, then the sensing performance loss is reduced, but the device complexity increases
Solution Approach 1:
The transmit-end device changes the parameters of the sensing signal by applying a first coefficient to process the symbols. This parameter change optimizes the signal characteristics to minimize performance loss during receive-end filtering. The coefficient adjustment modifies the signal's spectral or temporal properties, enabling better compatibility with the filtering operation and reducing the degradation of sensing performance.
3Reliability
If the receive-end device performs matched filtering, then the target detection capability is improved, but the sensing data fidelity deteriorates
Solution Approach 1:
The first coefficient acts as an intermediary between the transmit-end signal generation and the receive-end filtering process. By introducing this coefficient as a mediating element, the system enables the receive-end device to perform matched filtering for improved target detection capability while the coefficient's specific values ensure that the filtering operation does not excessively degrade the sensing data fidelity. The intermediary coefficient bridges the gap between detection enhancement and data preservation.
Data Source
Figure 1~2
Figure 3(1)~3(6)
Figure 4
AI summary
Embodiments of this application relate to the field of communication technologies, and provide a communication method and apparatus, to reduce a sensing performance loss caused by filtering introduced by a receive-end device. In the method, a first communication apparatus determines [d(h)] based on [a(h)], generates a first signal based on [d(h)], and sends the first signal, where an element in [a(h)] satisfies a first feature or satisfies a second feature, where the first feature is: when h is less than k, a(h) is less than a(h + 1), or when h is greater than k, a(h) is less than or equal to a(h - 1); and the second feature is: when h is less than k, a(h) is greater than a(h + 1), or when h is greater than k, a(h) is greater than or equal to a(h - 1).