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Parallel matrix inversion method for multi-antenna system

A multi-antenna system and matrix inversion technology, applied in diversity/multi-antenna systems, space transmit diversity, etc., can solve problems such as communication costs between large cores, reduce algorithm efficiency, etc., achieve data correlation reduction, easy parallel implementation, The effect of high algorithm efficiency

Active Publication Date: 2013-01-16
SOUTHEAST UNIV
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Problems solved by technology

However, as a bilateral Jacobi method, each iteration involves the update of both rows and columns, and there is a large data dependency between rows and columns, which will bring great benefits when the algorithm is implemented in parallel. The cost of inter-core communication reduces the efficiency of the algorithm

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  • Parallel matrix inversion method for multi-antenna system
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  • Parallel matrix inversion method for multi-antenna system

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0032] Such as figure 1 As shown, a parallel matrix inversion method for multi-antenna systems includes the following steps:

[0033] 1) A multi-antenna system with the number of transmitting antennas M and the number of receiving antennas N, the input-output relationship of its signals can be expressed as r=HWs+n, where: r represents the received signal, which is a column vector whose dimension is M; s Represents the transmitted signal, which is a column vector with a dimension of L; W represents the transmitted precoding matrix, which is a matrix with a dimension of N×L; H represents the channel matrix, which is a matrix with a dimension of M×N; n represents additive white Gaussian noise, is a column vector with a dimension of M; the receiving end performs detection and estimates the transmitted signal s from the received signal r; the mains...

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Abstract

The invention discloses a parallel matrix inversion method for a multi-antenna system, which is used for detection and self-adaptive transmission of a receiving end in the multi-antenna system. The parallel matrix inversion method comprises the following steps: solving a rotation matrix; replacing a conventional Givens rotation matrix with a high-speed Givens rotation matrix to halve the multiplication operand, and further reducing the square-root complexity by adopting limit and Tayior expansion methods; achieving rotation transformation; adopting an iterative updating method to calculate the mold value of column vector so as to remarkably improve the algorithm efficiency in comparison with the method of directly calculating the vector mold value; conducting repeated iteration; and achieving matrix inversion. The parallel matrix inversion method has very high efficiency and excellent parallelism, and can be used for matrix inversion in the fields of wireless communication, signal processing, numerical calculation and the like.

Description

technical field [0001] The invention relates to a parallel matrix inversion method for a multi-antenna (MIMO) system, in particular to a fast matrix inversion operation during MIMO system detection and adaptive transmission. Background technique [0002] The increase in the number of mobile users and the increase in mobile Internet services have placed higher requirements on the capacity and quality of communication systems. MIMO technology can provide space division multiplexing gain, diversity gain and antenna array gain, thereby significantly improving the spectrum efficiency of the communication system and improving communication quality. In fact, MIMO technology has become one of the most critical technologies in many wireless communication standards, such as 3GPP-LTE, IEEE 802.11n and IEEE 802.16e. Therefore, MIMO technology has always been a research hotspot in the field of wireless communication technology. [0003] MIMO stands for Multiple Input Multiple Output, a...

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Application Information

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IPC IPC(8): H04B7/06H04B7/08
Inventor 房帅周天阳析李峥金石江彬
Owner SOUTHEAST UNIV
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