Compressed sensing and high-speed mobility-based universal filtered multicarrier (UFMC) system wireless channel estimation method

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 wireless channel estimation method of a UFMC system based on compressed sensing and high-speed movement. Background technique [0002] In the high-speed motion scene, the channel delay spread is large and the conventional channel estimation algorithm has obvious loss of the quality of the vehicle fast time-varying channel estimation, and there is no relevant solution at present. Summary of the invention [0003] In view of this, the purpose of the present invention is to provide a wireless channel estimation method of the UFMC system based on compressed sensing and high-speed movement, which makes full use of the time correlation and sparse characteristics of the channel, and proposes a sparse channel estimation algorithm. [0004] To achieve the above objective, the present invention provides the following technical solutions: [0005] The wireless channel estimation method of the U...

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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