A joint mimo channel estimation and signal detection method driven by data model
A channel estimation and signal detection technology, applied in digital transmission systems, baseband system components, baseband systems, etc., to improve network performance and achieve the effect of dynamic update
Active Publication Date: 2022-03-11
SOUTHEAST UNIV
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[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 signal detection method driven by data models, and solve the problem of how to combine wireless transmission with deep learning to improve network self-adaptation
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[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 data model dual-driven joint MIMO channel estimation and signal detection method, 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 in 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 ...
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The invention discloses a joint MIMO channel estimation and signal detection method driven by data models, which performs channel estimation and signal detection through a channel estimator and a signal detector. The signal detector uses the channel estimation result and the received data signal as the input of each layer network, and the t-th layer network combines the output calculation of the (t-1) layer network to obtain the error variance vector; the t-th layer network is based on the input parameters to be trained, The error variance estimation vector and the linear estimator calculate the external information, and use the non-dispersive estimation function to obtain the signal estimated value according to the external information, and output and pass to the next layer of network; the estimated value of the last transmitted symbol is output by the T-th layer network . At the same time, the signal detector feeds back the estimated transmitted symbols to the channel estimator to further improve the channel estimation result. The invention can greatly improve network performance, realize dynamic update, network self-adaptation, improve receiver performance, and obtain significant performance gain on the basis of traditional iterative receivers.
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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IPC IPC(8): H04L25/02H04B7/0413
CPCH04L25/0224H04L25/0254H04L25/0256H04L25/0242H04B7/0413
Inventor 何恒涛金石温朝凯
Owner SOUTHEAST UNIV