Ultra-wideband signal interference suppression method and system

Abstract

Embodiments of the present invention provide a method and system for ultra-wideband signal interference suppression, which can realize frequency-domain interference identification and suppression for high-throughput ultra-wideband signals, adopt frequency-domain interference suppression technology, and consider time-frequency domain conversion The finite length truncation of the finite-length truncation realizes dual-channel overlapping windowing processing through delay processing, which suppresses the spectrum leakage and waveform distortion caused by signal truncation; finally, the interference-suppressed signal is obtained after frequency-domain interference processing, which can eliminate the need for ultra-wideband signal Instead of extracting, it directly identifies and suppresses the interference of the target signal with high sampling rate and high throughput, and can reduce the amount of calculation of the system.

Description

technical field [0001] The present invention relates to the technical field of signal processing, and more specifically, to an ultra-wideband signal interference suppression method and system. Background technique [0002] With the development of communication technology, on the one hand, the requirements for the effectiveness of information transmission continue to increase. In satellite communications and other occasions, the radio frequency can work in the Ka band, and has a large signal bandwidth; on the other hand, the reliability of information transmission It also puts forward a severe test. Ultra-wideband signals will introduce complex and strong interference signals, requiring more advanced interference suppression methods. [0003] For common types of interference, the main suppression methods include time domain suppression technology and frequency domain suppression technology. The time domain suppression technology is mainly based on the difference in correlatio...

AI Technical Summary

Problems solved by technology

Among them, when the mean value method identifies large-bandwidth and high-power signals, the threshold value calculated by the square term of the interference signal modulus will be much higher than the actual need; the improved median method requires sorting operations to achieve too high complexity; the continuous mean value deletion method It is a method to iteratively approach the optimal threshold, but too many iterations for ultra-wideband signals means that the processing delay of the system is increased

[0005] For ultra-wideband signals, the traditional method is to extract the signal in multiple stages and reduce the sampling rate to identify and suppress interference at the baseband. influences

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