A Channel Estimation Method for Mobile Ofdm System Based on Compressed Sensing

Abstract

The invention discloses a mobile OFDM system channel estimation method based on compressed sensing. The method is composed of the following four parts: establishment of a dictionary matrix; a process of carrying out statistics on a probability of selecting in the dictionary matrix at a high signal to noise ratio; a process of solving a channel coefficient by reselecting in the dictionary matrix at a low signal to noise ratio; and a stopping criterion based on a Bayes information criterion function. According to the method, statistics is carried out on parameters obtained through channel estimation at the high signal to noise ratio, thereby carrying out high-speed channel estimation at the low signal to noise ratio; a bit error ratio and a mean square error of a system can be effectively reduced at the low signal to noise ratio; the quality of a received signal at the low signal to noise ratio in a high-speed moving state can be improved; the channel estimation speed at the low signal to noise ratio can be increased; and a demand of a user for a high-quality signal is satisfied in real time. The method is applicable to any OFDM wireless communication system frame. An existing communication system does not need to be modified. The function can be realized only by carrying out software or hardware upgrade on a terminal device. The method has wide application and promotion value.

Description

Technical field [0001] The present invention relates to the field of mobile communication technology, in particular to a method for channel estimation of a mobile OFDM system based on compressed sensing. Background technique [0002] With the rapid development of mobile communications, users’ demand for data has increased dramatically, and the requirements for data reliability have also become higher. Due to the complex wireless communication channels, radio waves are easily affected by obstacles such as buildings during transmission. At the same time, there is often relative movement between the mobile station and the base station, causing the relevant parameters of the wireless communication channel to always be constantly changing. With the development of high-speed rail, people usually choose high-speed rail to travel. The mobile terminal is often in a state of high-speed movement. The environment of the wireless channel is even worse. To receive high-quality data at the rece...

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Problems solved by technology

[0006] In view of the above-mentioned defects in the prior art, the technical problem to be solved by the present invention is to provide a method for channel estimation of mobile OFDM systems based on compressed sensing, which can reduce the BER and MSE of the system when the signal-to-noise ratio is low, and simultaneously improve the channel estimation method when the signal-to-noise ratio is low. The speed of channel estimation, thereby improving the performance of the entire system in the communication system, improving the quality of received signals in a complex wireless communication environment, and meeting the needs of users

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