Compressed sensing spectrum detecting method under blind sparse condition

Abstract

The invention provides a compressed sensing spectrum detecting method under the blind sparse condition. The aim of spectrum detecting under the condition that the sparseness is unknown is achieved. The compressed sensing spectrum detecting method under the blind sparse condition includes the steps of (1) conducting optimization iteration solving on a built mathematic model (please see the specifications for the formula), (2) conducting simplification to obtain convex optimization problem of reconstitution signals, (3) obtaining an element with the maximum correlation, merging the element with a support set of last-time iteration, and obtaining a new support set, (4) obtaining a residual error, (5) obtaining a contribution value and outputting spectrum detecting results (please see the specifications for the formula) and the like. The mode is applied to the compressed sensing spectrum detecting method.

Description

technical field

[0001] The invention relates to a frequency spectrum detection method of compressed sensing under the condition of blind sparseness. Background technique

[0002] Spectrum is a precious resource for wireless communications. With the increasing demand of users for high-speed data services, the demand for spectrum resources in communication systems is also increasing, and spectrum resources are increasingly scarce. In order to improve the utilization of spectrum resources and meet the needs of users for high-speed data transmission, cognitive radio technology emerges as the times require. Cognitive radio can utilize spectrum holes for data transmission of unlicensed users (SUs) without affecting data transmissions of authorized users (PUs).

[0003] According to the Nyquist sampling law, in the conversion process from analog to digital, in order not to lose information, it must be sampled at a sampling rate at least twice the highest frequency of the signal to...

Images