Data model dual-drive joint MIMO channel estimation and signal detection method

A technology for channel estimation and signal detection, which is used in digital transmission systems, radio transmission systems, baseband systems, etc.

Active Publication Date: 2020-01-21
SOUTHEAST UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a joint MIMO channel estimation and

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  • Data model dual-drive joint MIMO channel estimation and signal detection method
  • Data model dual-drive joint MIMO channel estimation and signal detection method
  • Data model dual-drive joint MIMO channel estimation and signal detection method

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Embodiment Construction

[0038] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0039] Such as figure 1 As shown, the embodiment of the present invention provides a system block diagram of a joint MIMO channel estimation and signal detection method driven by data models, in which the signal detection network considers the channel estimation error, and the signal detection result is fed back to the channel estimator to assist channel estimation. Such as figure 2 As shown, it is a schematic structural diagram of a signal detection network provided by an embodiment of the present invention. The present invention introduces deep learning on the basis of traditional iterative receivers to improve receiver performance. The present invention expands the traditional iterative signal detector, uses the traditional algorithm as the initial value, and then optimizes the receiver through deep learning technology to realize dynamic upda...

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Abstract

The invention discloses a data model dual-drive joint MIMO channel estimation and signal detection method. Channel estimation and signal detection are carried out through a channel estimator and a signal detector. The signal detector takes the channel estimation result and the received data signal as the input of each layer of network, and the tth layer of network is combined with the output of the (t-1) th layer of network to calculate an error variance vector; the tth layer of network calculates and obtain external information according to the input parameters to be trained, the error variance estimation vector and the linear estimator, obtains a signal estimation value by adopting an unscattered estimation function according to the external information, and outputs and transmits the signal estimation value to the next layer of network; and the estimated value of the final sending symbol is output by the Tth layer of network. Meanwhile, the signal detector feeds back the estimated sending symbol to the channel estimator, so that the channel estimation result is further improved. According to the invention, the network performance can be greatly improved, dynamic updating and network self-adaption are realized, the performance of the receiver can be improved, and remarkable performance gain is obtained on the basis of a traditional iterative receiver.

Description

technical field [0001] The invention relates to a joint MIMO channel estimation and signal detection method with dual data model drivers, belonging to the technical field of wireless communication. Background technique [0002] The MIMO system has become the mainstream technology of a large number of wireless communication standards because it can improve the spectrum efficiency and link reliability of the network. MIMO receiver is an important link in MIMO system design. Among them, iterative receivers based on approximate message passing and expectation propagation algorithms have received continuous attention. The receiver continuously approximates the minimum mean square error estimation in an iterative manner, decouples the detection problem of the MIMO system into a multi-channel parallel AWGN channel detection problem, and uses the non-dispersion estimation function to calculate the signal estimation value according to the external information. In the MIMO system ob...

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Application Information

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IPC IPC(8): H04L25/02H04B7/0413
CPCH04L25/0224H04L25/0254H04L25/0256H04L25/0242H04B7/0413
Inventor 何恒涛金石温朝凯
Owner SOUTHEAST UNIV
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