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Channel estimation method and device for low-complexity compressed sensing with channel time-domain correlation

A compressed sensing and low-complexity technology, applied in the field of low-complexity compressed sensing channel estimation, can solve the problems of reduced spectral efficiency, high computational complexity, and inability to effectively support high-order modulation, achieving easy implementation and reduced complexity degree of effect

Inactive Publication Date: 2017-02-15
TSINGHUA UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is: the traditional TDS-OFDM transmission system (the training sequence is a single PN sequence) adopts the channel estimation method of iterative interference cancellation, which cannot effectively support high-order modulation (such as 256QAM) and time-varying channels; Although the DPN-OFDM system can support high-order modulation and time-varying channels, its spectral efficiency is significantly reduced; the existing channel estimation based on compressed sensing can solve the problem that the single PN-based TDS-OFDM transmission system cannot effectively support high-order modulation ( Such as 256QAM) and time-varying channels, but its computational complexity is very high, and it cannot effectively deal with long-delayed echo channels

Method used

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  • Channel estimation method and device for low-complexity compressed sensing with channel time-domain correlation
  • Channel estimation method and device for low-complexity compressed sensing with channel time-domain correlation
  • Channel estimation method and device for low-complexity compressed sensing with channel time-domain correlation

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Embodiment 1

[0051] Such as figure 1 As shown, this embodiment provides a low-complexity compressed sensing channel estimation method based on channel time-domain correlation, and the low-complexity channel estimation based on compressed sensing includes:

[0052] 11. Divide the received signal into training sequence and frame body data;

[0053] 12. Determine a rough estimate of channel delay and a rough estimate of channel length according to the training sequence and the frame body data;

[0054] 13. Determine a rough estimate of channel gain according to the rough estimate of channel length;

[0055] 14. Determine an accurate estimate of channel delay according to the rough estimate of channel delay, the rough estimate of channel length, and the rough estimate of channel gain;

[0056] 15. Determine an accurate estimate of channel gain based on the accurate estimate of channel delay.

[0057] Optionally, the determining a rough estimate of channel delay and a rough estimate of chann...

Embodiment 2

[0073] figure 2 A schematic structural diagram of a TDS-OFDM transmitting end provided in this embodiment, as shown in figure 2 As shown, the sender includes:

[0074] A training sequence generating module 101, configured to generate a training sequence as a frame header;

[0075] The frame body data generation module 102 is used for modulating the transmission information according to a prescribed modulation method, and grouping according to the selected frame body data length to form a frame body data block to be transmitted;

[0076] A signal frame generating module 103, configured to multiplex the obtained training sequence and frame body data to form a signal frame;

[0077] The post-processing module 104 is configured to send the obtained signal frame after post-processing such as shaping filtering and quadrature up-conversion.

[0078] image 3 The schematic structural diagram of the corresponding receiving end provided for this embodiment, such as image 3 As sh...

Embodiment 3

[0133] Such as Figure 8 As shown, a channel estimation device based on low-complexity compressed sensing based on channel time-domain correlation, the low-complexity channel estimation based on compressed sensing includes:

[0134] Extraction unit 81, for dividing the received signal into training sequence and frame body data;

[0135] The first determining unit 82 is configured to determine a rough estimate of channel delay and a rough estimate of channel length according to the training sequence and the frame body data;

[0136] The second determining unit 83 is configured to determine a rough estimate of channel gain according to the rough estimate of channel length;

[0137] The third determining unit 84 is configured to determine an accurate estimate of channel delay according to the rough estimate of channel delay and channel length and the rough estimate of channel gain;

[0138] The fourth determining unit 85 is configured to determine an accurate estimate of channe...

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Abstract

The invention discloses a channel estimation method based on low-complexity compressed sensing, and meanwhile, the method utilizes channel time-domain correlation. A signal frame structure based on OFDM (orthogonal frequency division multiplexing) transmission generally consists of two parts including a signal frame head and frame body data, wherein the frame head is a known training sequence; the frame body data is information data to be transmitted. The channel estimation method comprises the steps that received signals are divided into training sequences and frame body data; the coarse estimation of the channel delay and the coarse estimation of the channel length are determined according to the training sequences and the frame body data; the coarse estimation of the channel gain is determined according to the coarse estimation of the channel length; the precise estimation of the channel delay is determined according to the coarse estimation of the channel delay, the coarse estimation of the channel length and the coarse estimation of the channel gain; the precise estimation of the channel gain is determined according to the precise estimation of the channel delay. Therefore, the channel estimation complexity can be reduced, and the channel estimation is easy to realize.

Description

technical field [0001] The present invention relates to the communication field, in particular to a channel estimation method and device for low-complexity compressed sensing based on channel time-domain correlation. Background technique [0002] In TDS-OFDM (time-domain synchronous orthogonal frequency division multiplexing) transmission technology (its training sequence is a pseudo-random sequence, referred to as PN sequence), the length of PN (Pseudo-noise Sequence, pseudo-noise sequence) is greater than the maximum delay of the channel Length, the benefit is high spectral efficiency, but this transmission technology uses iterative interference cancellation to obtain channel estimation, the disadvantage is that it cannot effectively support high-order modulation (such as 256QAM) and fast time-varying channels. [0003] An effective solution to this is dual training sequence OFDM (referred to as DPN-OFDM). The training sequence of this technology uses two identical PN sequ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04L27/26
Inventor 戴凌龙高镇张超王昭诚
Owner TSINGHUA UNIV
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