Cooperative Precoding for Joint Communication and Radar Interference
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Solution Overview
Problem
Existing communication systems face challenges in jointly processing communication mutual interference and radar sensing echo mutual interference in multi-node systems with integrated sensing and communication, as traditional methods fail to consider channel information for beam adjustment, leading to limited interference mitigation.
Innovation Solution
A cooperative precoding method that involves obtaining and updating sensing and communication signals based on interference problems between nodes, constructing integrated sensing and communication mutual interference channels, and applying constraint conditions to optimize signal-to-noise ratios, enhancing the performance of nodes with integrated sensing and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional space division schemes are used for inter-radar interference, then detection signals between radars can be staggered through beam adjustment, but the mitigation effect is limited because channel information influence on beam adjustment is not considered
Solution Approach 1:
The patent changes the parameters of beam adjustment by incorporating channel information (amplitude and phase characteristics) into the beamforming process. This allows the system to adaptively adjust beams based on actual channel conditions rather than using fixed spatial division, thereby improving interference mitigation effectiveness while maintaining signal separation between radars.
2Productivity
If spectrum resources are shared between nodes in multi-node cooperative communication sensing system, then spectrum utilization efficiency is improved, but communication mutual interference and radar sensing echo mutual interference occur between nodes
Solution Approach 1:
The patent segments the interference mitigation process into distinct stages: first processing communication mutual interference between nodes, then processing radar sensing echo mutual interference. This segmented approach allows the system to handle different types of interference separately using appropriate techniques for each, while maintaining shared spectrum resources for improved utilization efficiency.
Solution Approach 2:
The patent introduces precoding matrices as intermediary elements that process signals before transmission. These precoding matrices act as mediators that shape and direct signals to reduce both communication interference and radar echo interference, enabling nodes to share spectrum resources effectively while mitigating the resulting interference through coordinated signal processing.
3Productivity
If COMP technology is used to solve same-frequency mutual interference between nodes, then network utilization is improved by converting interference into useful signals, but the solution does not address radar sensing echo interference in integrated sensing and communication systems
Solution Approach 1:
The patent extends the interference mitigation approach to serve multiple functions: it handles both communication mutual interference and radar sensing echo interference within the same integrated sensing and communication system. The precoding technique is designed to be universal, working for both communication signal coordination and radar echo interference reduction, thereby improving adaptability while maintaining network utilization benefits.
Data Source
AI summary
A cooperative precoding method and device. The method includes: obtaining a first sensing and communication signal sent by a first node; obtaining a second sensing and communication signal sent by a second node; updating the first sensing and communication signal; updating the second sensing and communication signal; returning to the step of obtaining a first sensing and communication signal when the signal-to-noise ratio of a signal received by a user and the signal-to-noise ratio of a radar echo signal received by the first node do not meet a preset condition. The solutions enhance sensing performance of nodes while at the same time improve the communication performance of a target user.