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

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...

AI Technical Summary

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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