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Training Sequence Filling Method for Distributed Compressed Sensing Channel Estimation

A technology for training sequence and channel estimation, applied in the field of communication, can solve the problem of not considering the function of guard interval and unable to meet the requirements, etc.

Active Publication Date: 2019-11-08
COMMUNICATION UNIVERSITY OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these training sequences are either only suitable for independent CS channel estimation, or do not consider the guard interval function, and cannot meet the requirements of being used as multipath extended guard interval and distributed CS channel estimation at the same time.

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  • Training Sequence Filling Method for Distributed Compressed Sensing Channel Estimation
  • Training Sequence Filling Method for Distributed Compressed Sensing Channel Estimation
  • Training Sequence Filling Method for Distributed Compressed Sensing Channel Estimation

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Embodiment Construction

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0024] Such as figure 1 As shown, the present invention provides a training sequence filling method suitable for distributed compressed sensing channel estimation, which includes the following steps:

[0025] S1. Construct a sequence T.

[0026] S2. Using the sliding window reading method, sequentially read the sequence segments from the sequence T as the training sequence P j , where j represents the time sequence.

[0027] S3, the training sequence P j In...

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Abstract

The invention provides a training sequence filling method suitable for distributed compressed sensing channel estimation, and the method comprises the following steps: constructing a sequence T; reading sequence segments from the sequence T in a sliding window reading mode, and enabling the sequence segments to serve as the training sequences Pj, wherein j represents the time sequence; enabling the sequence segment Pj to be inserted between load data blocks Dj, and forming a transmission data frame / stream. The training sequence filled through the method can complete the channel estimation and multipath interference offset, can effectively give play to the advantages of the distributed compressed sensing channel estimation, can resist the multipath interference between data blocks, and effectively improves the spectral efficiency while improving the channel estimation accuracy.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a training sequence filling method suitable for distributed compressed sensing channel estimation. Background technique [0002] Channel state detection is one of the key technologies in modern wireless communication systems. Among the existing channel state detection methods, channel estimation based on reference signals is widely used in modern wireless transmission systems because of its significant advantages such as small error and low complexity. The traditional channel estimation method based on reference signals only considers the maximum delay of the channel propagation path, and does not consider the number of channel propagation paths. In the process of broadband data transmission, it is often necessary to add a large number of reference signals for channel estimation, which greatly reduces the utilization of channel spectrum resources. . Multipath ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B1/711H04L25/02
CPCH04B1/711H04L25/0232
Inventor 徐伟掌杨占昕余心乐邓纶晖
Owner COMMUNICATION UNIVERSITY OF CHINA