Millimeter wave channel estimation method based on compressed sensing in height moving scene

A technology of compressed sensing and channel estimation, which is applied in channel estimation, baseband system, baseband system components, etc., and can solve the problems of not considering the characteristics of the millimeter wave channel, high penetration loss, Doppler frequency shift, etc.

Active Publication Date: 2019-11-29
SOUTHEAST UNIV
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Problems solved by technology

In the traditional HST scenario, there are some problems: fast movement, ultra-dense user distribution, and well-shielded carriages, which will cause serious Doppler shift, high penetration loss, frequent and large-scale handover process, mobile interruption increased power consumption and reduced data rate
However, the work is not specific to mmWave systems nor does it take into account the characteristics of mmWave channels

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  • Millimeter wave channel estimation method based on compressed sensing in height moving scene
  • Millimeter wave channel estimation method based on compressed sensing in height moving scene
  • Millimeter wave channel estimation method based on compressed sensing in height moving scene

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Embodiment Construction

[0118] A millimeter-wave channel estimation method based on compressed sensing under a high-speed mobile scene, comprising the following steps:

[0119] Step 1: Analyze the downlink communication in high-speed mobile scenarios, consider the influence of Doppler frequency shift, conduct channel modeling based on the low-rank characteristics and spatial correlation characteristics of millimeter wave communication, and write it in the form of a matrix;

[0120] Step 2: After the channel matrix described in step 1 is quantized, the channel matrix will show a sparse characteristic at this time, and the perception matrix and measurement matrix are designed;

[0121] Step 3: Vectorize the channel matrix showing sparse characteristics in step 2, reconstruct the vectorized channel model based on the compressed sensing algorithm and the sensing matrix and measurement matrix described in step 2, and calculate the normalization mean square error.

[0122] In the described high-speed mobile...

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Abstract

The invention provides a millimeter wave channel estimation method based on compressed sensing in a high-speed moving scene. The method comprises the following steps: step 1, analyzing downlink communication in a high-speed moving scene, considering the influence of Doppler frequency shift, carrying out channel modeling based on the low-rank characteristic and the spatial correlation characteristic of millimeter wave communication, and writing into a matrix form; step 2, after the channel matrix in the step 1 is quantized, designing the channel matrix shows sparse characteristics, and a perception matrix and a measurement matrix; and step 3, performing vectorization processing on the channel matrix presenting the sparse characteristic in the step 2, reconstructing the vectorized channel model based on a compressed sensing algorithm and the sensing matrix and the measurement matrix in the step 2, and calculating a normalized mean square error. The calculation cost is reduced, and the performance is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a millimeter wave channel estimation method based on compressed sensing in highly mobile scenarios. Background technique [0002] In recent years, the high-speed train (HST) system has developed rapidly. As a fast, convenient and green public transportation system, it is becoming the future trend of the world's railway transportation. How to provide fast and seamless wireless communication services for passengers on high-speed rail poses challenges to future wireless communication networks in terms of ultra-high traffic density, ultra-high connection density, and ultra-high mobility. In the traditional HST scenario, there are some problems: fast movement, ultra-dense user distribution, and well-shielded carriages, which will cause serious Doppler shift, high penetration loss, frequent and large-scale handover process, mobile interruption The power consumption increa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04B7/0413H04B7/0456H04B17/391
CPCH04L25/0202H04L25/0242H04B7/0456H04B7/0413H04B17/391
Inventor 王俊波杨凡杨丹
Owner SOUTHEAST UNIV
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