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Adaptive Wideband Compressed Spectrum Sensing Algorithm Based on Least Squares Vector Machine

A least squares and broadband compression technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problems of complex calculation process and low detection probability, and achieve low calculation complexity, high detection performance and strong versatility Effect

Active Publication Date: 2022-05-24
CIVIL AVIATION UNIV OF CHINA
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  • Abstract
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Problems solved by technology

[0004] In view of this, the present invention aims to propose an adaptive wideband compressed spectrum sensing algorithm based on the least squares vector machine to solve the problems of low detection probability and complicated calculation process in the prior art

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  • Adaptive Wideband Compressed Spectrum Sensing Algorithm Based on Least Squares Vector Machine
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  • Adaptive Wideband Compressed Spectrum Sensing Algorithm Based on Least Squares Vector Machine

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Embodiment Construction

[0053] It should be noted that the embodiments of the present invention and the features of the embodiments may be combined with each other under the condition of no conflict.

[0054] In the description of the present invention, it should be understood that the terms "center", "portrait", "horizontal", "top", "bottom", "front", "rear", "left", "right", " The orientation or positional relationship indicated by vertical, horizontal, top, bottom, inner, outer, etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and The description is simplified rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and therefore should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should not be constru...

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Abstract

The present invention provides an adaptive wideband compressed spectrum sensing algorithm based on a least squares vector machine, comprising the following steps: S1, performing multiple uniform sampling on the wideband signal to be detected, processing the sub-Nyquist sampling points obtained by each sampling end, Obtain the broadband folded spectrum, and estimate the energy value of each overlapping sub-frequency band; S2, utilize the energy value of each overlapping sub-frequency band in step S1, divide the overlapping sub-frequency band into H 1 、H 2 、H 0 ; S3, when a superimposed sub-frequency band k belongs to category H 2 , using the sub-channel identification method in PR to identify the occupied sub-channel; S4, when a superimposed sub-frequency band k belongs to category H 1 , using the sub-channel identification method in NoR to identify occupied sub-channels; S5, combining the results of steps S3 and S4 to identify the positions of all occupied sub-channels in the broadband spectrum. The self-adaptive broadband compressed spectrum sensing algorithm based on the least square vector machine of the present invention has high detection performance and reduces computational complexity.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an adaptive wideband compressed spectrum sensing algorithm based on a least squares vector machine. Background technique [0002] In the field of wireless communication, wideband spectrum sensing is a high-profile research problem. The difficulty in realizing broadband spectrum sensing lies in the need for high-speed analog-to-digital converters. Due to its profound influence in the field of signal sampling, compressive sensing has recently received much attention in the research of wideband spectrum sensing. Most wideband spectrum sensing algorithms based on compressive sensing need to reconstruct the spectrum. For example, under the premise that there are only sub-Nyquist sampling values, some nonlinear algorithms, such as convex optimization, greedy algorithm, etc., can be used for signal reconstruction. For another example, some researchers recon...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382
CPCH04B17/382
Inventor 任诗雨陈万通李冬霞方澄赵阳牛勇刚
Owner CIVIL AVIATION UNIV OF CHINA