Massive MIMO linear detection hardware architecture and method under correlated channels

A linear detection, large-scale technique for MIMO applications

Inactive Publication Date: 2016-09-28
SOUTHEAST UNIV
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Problems solved by technology

[0006] Purpose of the invention: In order to overcome the lack of low-complexity and high-efficiency MIMO linear detection in the case of correlated channels in the prior art, the present invention provides a hardware framework and method for massive MIMO linear detection i

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  • Massive MIMO linear detection hardware architecture and method under correlated channels
  • Massive MIMO linear detection hardware architecture and method under correlated channels
  • Massive MIMO linear detection hardware architecture and method under correlated channels

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[0041] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0042] A large-scale MIMO linear detection hardware framework under a correlated channel, including a lower triangular pulsation multiplication module, a noise addition module, a diagonal matrix inversion module, a vector multiplier, an iteration module and a detection module, and the iteration module includes a main diagonal addition module, coefficient adjustment module, wherein:

[0043] The lower triangular pulsation multiplication module is used to obtain the We...

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Abstract

The invention discloses a massive MIMO linear detection hardware architecture and a method under correlated channels. The massive MIMO linear detection hardware architecture comprises a lower triangular pulse multiplication module, a noise addition module, a diagonal matrix inversion module, a vector multiplier, an iteration module, and a detection module. The iteration module comprises a principal diagonal addition module and a coefficient adjustment module. A channel response matrix sequentially passes through the lower triangular pulse multiplication module and the noise addition module, and then enters the diagonal matrix inversion module and the vector multiplier. The vector multiplier removes principal diagonal elements from the matrix output by the noise addition module, and multiplies the matrix by a matrix solved in the diagonal matrix inversion module. The massive MIMO linear detection hardware architecture and the method are applicable to a matrix inversion algorithm under wider channel conditions, and have the advantages of low computational complexity, high accuracy and good flexibility. Moreover, the channel adaptability and throughput of the linear detection architecture are improved greatly.

Description

technical field [0001] The present invention is applicable to massive MIMO, a popular communication technology at present. This design provides a linear detection framework for low-complexity inversion in the context of multiple-input multiple-output, which is applicable to the case of correlated channels. Background technique [0002] MIMO (Multiple-Input Multiple-Output) technology refers to using multiple transmitting antennas and receiving antennas at the transmitting end and receiving end respectively, so that signals are transmitted and received through multiple antennas at the transmitting end and receiving end. In the current spectrum shortage, it does not start from the frequency, and at the same time, it does not bring greater consumption to the transmission power of the antenna. This technology makes use of space resources, doubles the system channel capacity, improves the communication quality, and has quite superior performance. , is regarded as the core techno...

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Application Information

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IPC IPC(8): H04B7/04H04L25/02
CPCH04B7/0413H04B7/0456H04L25/0204
Inventor 张川梁霄尤肖虎
Owner SOUTHEAST UNIV
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