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Low-complexity large-scale MIMO channel parameter estimation method

A channel parameter, low-complexity technology, used in channel estimation, transmission monitoring, baseband system components, etc., can solve problems such as difficult application, high computational complexity, and lack of CSI research, achieving small data volume and complex algorithms. low degree of effect

Active Publication Date: 2018-10-19
ZHEJIANG UNIV CITY COLLEGE
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Problems solved by technology

But for massive MIMO systems, these channel estimation strategies have high computational complexity as the matrix dimension and the number of array elements increase
Therefore, it is difficult for them to apply them to massive MIMO systems to obtain accurate CSI
In addition, the research on the massive MIMO system mainly focuses on how to improve its performance, how to carry out signal processing and detection at the receiving end, and the research on the massive MIMO system is based on the assumption that the CSI is known. Research on CSI acquisition is relatively scarce

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[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] 1. System model

[0030] In a typical modern cellular system, it is assumed that the base station arranges a two-dimensional large-scale planar antenna array, such as figure 1 shown. A total of planar antenna array configuration N R =M×N antenna array elements, the mobile client is a single transmit antenna N T =1, place the planar antenna array on the X-Z coordinate plane, the height of the antenna at coordinates (0,0) is h meters from the ground, a...

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Abstract

A low-complexity large-scale MIMO channel parameter estimation method comprises the following steps: step 1, constructing a MIMO system channel model; step 2, after a base station receives data, performing discrete Fourier transform on the received data by using an FFT algorithm; step 3, reconstructing a continuous spatial domain spectrum of received signals for an obtained spatial discrete spectrum of the receive signals through interpolation; and step 4, analyzing the continuous spatial domain spectrum obtained in the step 3 and estimating an angle of arrival and amplitude attenuation of thereceived signals on different physical paths. According to the method provided by the invention, the spatial discrete spectrum of the signals is obtained through the FFT algorithm and then the continuous spatial domain spectrum of the signals is obtained by means of zero-padding and interpolation techniques, so that the spatial continuous spectrum of the received signals can be recovered more accurately. Finally, incident angle parameters and amplitude of the signals when the signals arrive at the base station through physical channels can be estimated according to a peak value of the continuous spatial spectrum. The algorithm is low in complexity and pilot pollution does not exist.

Description

technical field [0001] The invention relates to the field of wireless communication systems, in particular to a low-complexity large-scale MIMO channel parameter estimation method. Background technique [0002] MIMO (multiple input multiple output) technology is a method to improve channel capacity and deal with channel fading. It has been adopted by the third and fourth generation (3G, 4G) wireless communication systems, but most current MIMO systems have obtained The improved system capacity and transmission reliability cannot meet the future growth demand for wireless services. For this reason, the concept of Massive MIMO (Massive MIMO) is proposed. Since massive MIMO configures dozens or even hundreds of low-power antenna elements at the base station, it can provide sufficient spatial freedom, not only increase the channel capacity to an order of magnitude of 10 times, but also improve the energy efficiency of the system to the order of 100 times. In addition, the mas...

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Application Information

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IPC IPC(8): H04L25/02H04B17/391H04B7/0413
CPCH04B7/0413H04L25/0204H04B17/3912
Inventor 殷锐王安定葛丽丽董芳
Owner ZHEJIANG UNIV CITY COLLEGE
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