Diversified interference estimation and suppression method based on multi-task compressed sensing

Abstract

The invention provides a diversified interference estimation and suppression method based on multi-task compressed sensing. The method specifically comprises the following steps of obtaining a randomobservation matrix and an orthogonal dictionary according to received electromagnetic information, and initializing the maximum number of iterations and reconstruction precision; updating a perceptionmatrix of the interference; calculating an interference optimal solution at the moment t; calculating an optimal coefficient under sparsity constraint at the moment t; updating a new sensing matrix of the signal; obtaining the overall reconstruction performance of the electromagnetic information at the current t moment; judging whether the reconstruction constraint condition at the moment t meetsthe overall reconstruction performance or not, and if yes, executing the next step; otherwise, backtracking the optimal interference solution; updating the coefficient vector and the number of iterations at the moment t; calculating a t-moment interference optimal solution under sparse constraint; returning to execute the step (6) till an iteration termination condition is met; and obtaining a coefficient vector and interference of a final optimal solution. The method can adapt to the characteristics of cognitive communication and compressed spectrum sensing and realizes simultaneous recoveryreconstruction and time domain elimination of interference and signals.

Description

technical field [0001] The invention relates to the technical field of interference suppression, in particular to a method for estimating and suppressing diversified interference based on multi-task compressed sensing. Background technique [0002] With its broadband and high-speed transmission capabilities, the in-vehicle communication system can support the Internet of Vehicles to realize applications such as intelligent perception, control, and driving. In order to improve the anti-interference ability and frequency utilization of the communication system, cognitive wireless communication gradually highlights its technical advantages. It is different from the traditional way of only processing interference at the receiving end. Interference suppression, which can avoid frequency bands that are "polluted" by interference sources or jammers. As a typical cognitive radio application in IoV communication, transform domain vehicular communication can provide a reliable commun...

AI Technical Summary

Problems solved by technology

In order to eliminate the serious impact of various types of malicious interference on the communication system, the existing interference processing methods mainly include interference filtering in the time domain and interference elimination in the transform domain, which can achieve common known interference (such as narrowband interference and pulse interference, etc.) However, due to the diversification of interference parameters and forms, most existing traditional methods can only eliminate the impact of specific interference, which seriously restricts the effectiveness and robustness of communication system anti-interference performance

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