Wireless channel estimation method for ufmc system based on compressed sensing and high-speed mobility

Abstract

The invention relates to a compressed sensing and high-speed mobility-based universal filtered multicarrier (UFMC) system wireless channel estimation method, belonging to the field of wireless communication. The method comprises the steps of building a system model, analyzing a UFMC system parameter of an inserted PN sequence, and determining sending and receiving signal models in a multi-path channel; analyzing a temporal correlation and a sparse characteristic of the multi-path channel; performing self-related channel coarse estimation based on the PN sequence; estimating a channel delay position accurately based on a compressed sensing algorithm; performing channel amplitude accurate estimation of an LS algorithm; and analyzing performance and a simulation result. According to the method, the impact of noise of CIR of R<g> consecutive symbols in an average correlation time in the channel coarse estimation process on the signal is lowered by fully utilizing channel temporal correlation, so that the coarse estimation accuracy of the channel time domain impulse response is further improved; and the channel time delay and sparsity accuracy estimated by an improved SAMP algorithm are further improved by fully utilizing information obtained through coarse estimation, and the traditional SAMP algorithm is less complex.

Description

technical field [0001] The invention belongs to the field of wireless communication, and relates to a method for estimating a wireless channel of a UFMC system based on compressed sensing and high-speed movement. Background technique [0002] In the high-speed motion scene, the channel delay expands greatly and the conventional channel estimation algorithm has a significant loss in the estimation quality of the vehicle fast time-varying channel. At present, there is no related solution. Contents of the invention [0003] In view of this, the purpose of the present invention is to provide a wireless channel estimation method based on compressed sensing and high-speed mobile UFMC system, fully utilize the time correlation characteristics and sparse characteristics of the channel, and propose a sparse channel estimation algorithm. [0004] To achieve the above object, the present invention provides the following technical solutions: [0005] A wireless channel estimation met...

AI Technical Summary

Problems solved by technology

[0002] In the high-speed motion scene, the channel delay expansion is large and the conventional channel estimation algorithm has a significant loss in the estimation quality of the vehicle fast time-varying channel. At present, there is no related solution

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