Discontinuous large-bandwidth repeater frequency spectrum monitoring method

Abstract

The invention discloses a discontinuous large-bandwidth transponder frequency spectrum monitoring method, which is applied to a process of monitoring a plurality of transponders of a satellite by monitoring equipment. Comprising the following steps: S1, establishing a repeater Markov model based on a partially observable Markov decision process; s2, the monitoring equipment obtains an optimal transponder selection strategy through a reinforcement learning method; s3, monitoring a plurality of transponders of the satellite according to the optimal transponder selection strategy; s4, acquiring the frequency spectrum of the transponder by a robust frequency spectrum acquisition method based on compressed sampling; and S5, the receiving processing module completes down-conversion, analog-to-digital conversion and cognitive processing in a digital domain. According to the method provided by the invention, optimal scheduling is carried out on resolution ratios such as space, time and frequency, and the effectiveness of monitoring data is improved.

Description

technical field [0001] The invention relates to the technical field of satellite communications, in particular to a method for monitoring the spectrum of a discontinuous large-bandwidth transponder. Background technique [0002] In the space information network, with the continuous increase of the number of available satellites, the contradiction of the shortage of space spectrum resources has become increasingly prominent, and the need for spectrum sharing between satellite systems is becoming more and more urgent. Cognitive radio based on spectrum sensing can make spectrum selection have cognitive characteristics, which is an effective means to realize spectrum sharing. In order for an intelligent terminal to discover spectrum opportunities, it must be able to observe and interpret its surrounding spectrum environment. Spectrum knowledge acquisition is the core work of spectrum sensing, which mainly includes the following three stages and problems to be solved: [0003] (...

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Problems solved by technology

[0009] In view of the fact that the traditional monitoring equipment working mode is difficult to meet the spectrum monitoring requirements of the discontinuous large bandwidth of the spatial information network, the present invention selects the monitoring transponder and obtains the frequency spectrum of the transponder from two aspects Conducted research and designed a discontinuous large-bandwidth transponder spectrum monitoring method, which is a monitoring transponder selection strategy based on reinforcement learning and a large-bandwidth transponder spectrum acquisition method based on compressed sampling

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