Channel estimation method and system based on multi-dimensional Hankel matrix in large-scale MIMO system

A channel estimation, large-scale technology, applied in the field of channel estimation based on multi-dimensional Hankel matrix, can solve the problems of spending a lot of pilot overhead, unrealistic, high consumption, etc., achieve high channel utilization, improve performance, and improve channel estimation Effect

Pending Publication Date: 2022-04-12
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0003] For massive MIMO systems, it takes a lot of pilot overhead to obtain downlink CSI
Since the amount of training and the feedback overhead are proportional to the number of BS antennas, the traditional linear channel estimation methods (such as least squares algorithm (LS) and linear minimum mean square error (LMMSE) algorithm) to obtain CSI consume too much, unrealistic

Method used

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  • Channel estimation method and system based on multi-dimensional Hankel matrix in large-scale MIMO system
  • Channel estimation method and system based on multi-dimensional Hankel matrix in large-scale MIMO system
  • Channel estimation method and system based on multi-dimensional Hankel matrix in large-scale MIMO system

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Embodiment 1

[0066] In this embodiment, specific examples are used to illustrate the method of the present invention, and the present invention improves on the shortcomings of the channel estimation method.

[0067] Specific application cases are as follows:

[0068] Assume that there is 1 user, 1 base station and the number of antennas of the base station is 128 as an example. Table 1 below shows general parameter settings, and channel estimation is performed according to the parameters in Table 1.

[0069]

[0070]

[0071] Table 1 parameter settings

[0072] refer to figure 1 , the channel estimation method based on multidimensional Hankel matrix in the massive MIMO system, comprising steps:

[0073] S1. The receiving end receives the signal sent by the base station, and obtains preliminary estimated channel information according to the received signal;

[0074] S2. Construct multiple Hankel matrices according to the preliminary estimated channel information;

[0075] S3. Sin...

Embodiment 2

[0124] refer to image 3As shown, this embodiment provides a channel estimation system based on a multidimensional Hankel matrix in a massive MIMO system. Based on the estimation method described in the first embodiment above, it includes a preliminary estimation module, a matrix construction module, a singular value decomposition module, and a selection module, channel information recovery module;

[0125] A preliminary estimation module, configured to obtain preliminary estimated channel information according to the received signal;

[0126] A matrix construction module, configured to construct a plurality of Hankel matrices according to preliminary estimated channel information;

[0127] The singular value decomposition module is used to sequentially perform singular value decomposition on multiple Hankel matrices to obtain multiple groups of azimuth angle-of-arrival estimated values ​​and channel complex gain coefficient estimated values;

[0128] The selection module is...

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Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a channel estimation method and system based on a multi-dimensional Hankel matrix in a large-scale MIMO system. The method comprises the following steps: S1, a receiving end receives a signal sent by a base station, and obtains preliminary estimation channel information according to the received signal; s2, constructing a plurality of Hankel matrixes according to the preliminarily estimated channel information; s3, sequentially performing singular value decomposition on the plurality of Hankel matrixes to obtain a plurality of groups of azimuth arrival angle estimation values and channel complex gain coefficient estimation values; s4, selecting a group of azimuth arrival angle estimation values and channel complex gain coefficient estimation values with the highest channel utilization rate; and S5, recovering channel state information based on the selected azimuth arrival angle estimated value and the channel complex gain coefficient estimated value. Compared with a traditional channel estimation method, the channel estimation method based on the multi-dimensional Hankel matrix in the large-scale MIMO system has the advantages that the higher channel utilization rate can be achieved, and therefore the communication performance of the MIMO system is more reliable.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a channel estimation method and system based on a multidimensional Hankel matrix in a massive MIMO system. Background technique [0002] In a massive MIMO system, in order to recover the transmitted signal at the transmitting end accurately at the receiving end, various measures are adopted to resist the influence of multipath effect on the transmitted signal. The realization of channel estimation technology needs to know the information of the wireless channel, and whether detailed channel information can be obtained, so that the transmitted signal can be correctly demodulated at the receiving end is an important indicator to measure the performance of a wireless communication system. Therefore, channel estimation is a key technology in the realization of wireless communication systems, and how to obtain complete CSI in actual systems has a crucial imp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04B7/0413
Inventor 楼斌剑王海泉李紫薇俞芸芸
Owner HANGZHOU DIANZI UNIV
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