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Improved SVD (Space Vector Decomposition) precoding algorithm for MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)

A MIMO-OFDM, precoding matrix technology, applied in the field of SVD precoding algorithm, can solve the problems of destroying channel smoothness and difficulty in channel estimation, and achieves the effect of convenient channel estimation, improved smoothness, and improved smoothness.

Active Publication Date: 2020-07-28
FUDAN UNIV
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Problems solved by technology

Each subcarrier corresponds to its own independent fading coefficient, but using different SVD precoding on each subcarrier will destroy the smoothness of the channel and bring difficulties to channel estimation

Method used

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  • Improved SVD (Space Vector Decomposition) precoding algorithm for MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)
  • Improved SVD (Space Vector Decomposition) precoding algorithm for MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)
  • Improved SVD (Space Vector Decomposition) precoding algorithm for MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing)

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Embodiment Construction

[0084] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0085] As an embodiment, the present invention simulates the number of subcarriers N with a computer f =272 of 4×192 massive MIMO channels. Carry out improved SVD decomposition, and calculate the diagonal matrix D according to the given formula (i) , to obtain the 4×4 equivalent channel Obtaining 4×4 Equivalent Channels Using Ordinary SVD Decomposition

[0086] exist figure 1 , without loss of generality, in each up and every Both take elements at a fixed position to form two lengths of N f Sequences of , and perform inverse Fourier transform on them respectively to obtain time-domain images. Compare them. The results show that the channel using the improved SVD, compared with the channel obtained by ordinary SVD decomposition, can be seen that the energy is obviously more concentrated in the head of the time ...

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Abstract

The invention belongs to the technical field of MIMO communication, and particularly relates to an improved SVD precoding algorithm for MIMO-OFDM under the background of a frequency domain selective fading channel. The core of the method is to optimize the SVD decomposition of ab MIMO channel matrix under each subcarrier so as to prevent the traditional precoding matrix based on SVD decompositionfrom damaging the smoothness of the channel in the frequency domain. The invention provides a modeling method for quantifying channel smoothness, and designs and improves an algorithm of an SVD precoding matrix. An optimization simulation result shows that the algorithm can significantly improve the smoothness of the equivalent channel in the MIMO-OFDM system in the frequency domain, and is beneficial to channel estimation.

Description

technical field [0001] The invention belongs to the technical field of MIMO communication, and in particular relates to an improved SVD precoding algorithm for MIMO-OFDM. Background technique [0002] In 5G wireless systems, for frequency selective fading channels, MIMO or massive MIMO is usually combined with Orthogonal Frequency Division Multiplexing (OFDM). Each subcarrier corresponds to its own independent fading coefficient, but using different SVD precoding on each subcarrier will destroy the smoothness of the channel and bring difficulties to channel estimation. [0003] For MIMO-OFDM, it is a very practical problem to design an improved SVD (singular value decomposition) precoding algorithm to improve the smoothness of the equivalent channel in the frequency domain. Existing related work can be seen in [1][2]. But the focus of these works is to interpolate the precoding matrix, or reduce the amount of feedback of the precoding matrix [2], or make the precoding matr...

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Application Information

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IPC IPC(8): H04B7/0456H04L27/26H04L5/00
CPCH04B7/0456H04L27/2628H04L5/001
Inventor 蒋轶胡婉辰
Owner FUDAN UNIV
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