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Multiband signal reconstruction method based on clustering sparse regularization orthogonal matching tracking algorithm

A technology of orthogonal matching pursuit and signal reconstruction, applied in the field of information and communication

Active Publication Date: 2016-09-07
HARBIN INST OF TECH
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Problems solved by technology

[0005] The present invention is to solve the following problems of the existing synchronous orthogonal matching pursuit algorithm based on the Xampling system:

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  • Multiband signal reconstruction method based on clustering sparse regularization orthogonal matching tracking algorithm
  • Multiband signal reconstruction method based on clustering sparse regularization orthogonal matching tracking algorithm
  • Multiband signal reconstruction method based on clustering sparse regularization orthogonal matching tracking algorithm

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specific Embodiment approach 1

[0083] Specific implementation mode 1. Combination Figure 4 In this embodiment, the multi-band signal reconstruction method based on the aggregate-sparse regularized orthogonal matching pursuit algorithm is described. The specific process is: input the observation matrix A, Number of subbands (joint sparsity) N, number of measurements p. initialization order support set candidate set residual The number of iterations k=0. I p is the unit matrix of order p.

[0084] Repeat the following steps when k≤N is satisfied:

[0085] ξ i = r [ k ] H D i | | D i | | 2 ...

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Abstract

The invention discloses a multiband signal reconstruction method based on a clustering sparse regularization orthogonal matching tracking algorithm, relates to the technical field of information and communication, and aims at solving a problem of restoring an original multiband signal from an unknown-sparseness multi-observation-value vector in a Xampling frame after the conversion through a continuous-finite module and sampling through a modulation bandwidth converter. Because many simulation signals met a multiband signal model in a process of signal processing, the method plays an important role in enabling the compressed sensing theory to be used for simulation signals. The basic idea of the method is to convert an infinite observation value vector problem into a single-observation-value vector problem. The method comprises the following steps: carrying out the column vectorization of observation values; carrying out the extension of an observation matrix through a Kronecker product; estimating a support set of the original signal through employing the above two results and signal sparseness estimation; finally reconstructing the signal, wherein the regularization idea is used in an estimation process of the support set.

Description

technical field [0001] The invention relates to the field of information and communication technologies, in particular to a Xampling-based analog signal compression sensing reconstruction method. Background technique [0002] In today's society, with the rapid growth of information demand, the signal carrier frequency is getting higher and higher. According to the traditional signal or image sampling method, only when the sampling rate is not less than twice the highest frequency of the signal (ie: Nyquist rate), can the original signal be accurately restored from the sample point. This condition makes signal processing require higher and higher sampling frequency, and the processing becomes more and more difficult. At the same time, in practical applications, the redundancy of the signal is often reduced by reorganizing the signal without losing useful information through compression, and the efficiency of signal processing, transmission and storage is improved, and a larg...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30
CPCH03M7/30Y02D30/70
Inventor 贾敏史瑶杨健顾学迈郭庆刘晓锋
Owner HARBIN INST OF TECH
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