A Multi-feed Satellite Interference Suppression Method Based on Spectrum Sensing

Abstract

The invention discloses a multi-feed source satellite interference suppression method based on spectrum sensing. The continuous sensing data received by M receiving feed sources at the multi-feed source satellite receiving end is filtered and sampled to obtain M×L-dimensional baseband equivalent Discrete-time signal matrix X; use spectrum sensing to determine whether the interference signal exists according to the obtained baseband equivalent discrete-time signal matrix X; if the interference signal exists, use the known target signal angle θ according to the linearly constrained minimum variance criterion 0 and the target signal autocorrelation matrix R XX Generate a beamforming vector ω; use the beamforming vector to process the baseband equivalent discrete-time signal vector X; complete interference suppression. The invention is convenient for subsequent software processing, and can self-adaptively suppress satellite complex signals by designing the minimum variance criterion based on linear constraints and adding less calculation amount.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a multi-feed satellite interference suppression method based on spectrum sensing. Background technique [0002] With the development of communication technology, the service coverage of the ground mobile communication network has been able to extend to most land areas, but due to the influence of factors such as geography and operating costs, there are still many blind spots in the coverage area, which cannot satisfy people's real-time communication. In these areas, satellite mobile communication technology has unique advantages. Therefore, the idea of ​​space-space integration has been proposed, and the satellite mobile communication system is an effective supplement to the ground mobile communication system. At the same time, in wars and major natural disasters, the ground mobile communication system is extremely vulnerable to damage, and the satellite mobile ...

AI Technical Summary

Problems solved by technology

The angle of the target signal at the satellite end can be regarded as known, but the interference received has complex and time-varying characteristics. Therefore, when using the interference suppression technology based on the interference DOA signal, it is necessary to estimate the multi-source interference DOA, and the signal at the satellite receiving end is relatively large. Weak, so there is a need for an algorithm that can adapt and quickly adjust the interference suppression parameters according to the received signal in the case of small SNR

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