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2results about How to "Cancel self-interference" patented technology

Surface acoustic wave signal processing method and system based on NQAM demodulation algorithm

ActiveCN119298949Acancel self-interferencecontrol complexityNear-field transmissionRecord carriers used with machinesTarget surfaceAdaptive filter
The invention discloses a surface acoustic wave signal processing method and system based on an NQAM demodulation algorithm, and the method comprises the steps: obtaining a surface acoustic wave signal, carrying out the interference removal of the surface acoustic wave signal based on an IMS adaptive filtering strategy, and obtaining a target surface acoustic wave signal; and demodulating the target surface acoustic wave signal according to a preset NQAM demodulation algorithm to obtain phase information and amplitude information corresponding to the target surface acoustic wave signal. The error is reduced, the model complexity is controlled at the same time, and stable filtering performance can be ensured to be provided under the limiting condition.
Owner:EAST CHINA JIAOTONG UNIVERSITY

A self-interference continuous elimination method for multi-unmanned ship unknown area cooperative exploration

The application provides a kind of self-interference continuous elimination method for the cooperative exploration of multiple unmanned ships in unknown areas, belonging to the technical field of autonomous exploration, autonomous positioning and map construction of multiple unmanned ships. To solve the self-interference problem that occurs when multiple unmanned ships cooperatively explore unknown areas, a coordinate relationship established by SLAM and multiple unmanned ship map fusion is used in combination with the iterative closest point registration algorithm to propose a laser radar point cloud method for continuously processing dynamic obstacles, which eliminates the self-interference of multiple unmanned ships in the cooperative exploration of unknown areas. In addition, for the laser radar point cloud data generated by dynamic obstacles, random points are formed in the map, which leads to poor subsequent multi-map fusion results and ultimately fails the exploration task. Through the coordinate system conversion relationship between unmanned ships, the application calculates the occurrence time of the self-interference problem and the initial position of the dynamic obstacle, and uses the iterative closest point to continuously track the position of the dynamic obstacle, achieving the purpose of continuously eliminating the influence of self-interference.
Owner:DALIAN MARITIME UNIVERSITY