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Multi-symbol joint channel estimation method in high speed mobile environment

A joint channel estimation and high-speed mobile technology, applied to the shaping network in the transmitter/receiver, baseband system components, etc., can solve the problems of Doppler domain no longer having sparse characteristics, Doppler leakage, etc.

Active Publication Date: 2016-01-06
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

In a high-speed environment, the Doppler frequency offset causes serious Doppler leakage, and the Doppler domain no longer has the sparse characteristic

Method used

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  • Multi-symbol joint channel estimation method in high speed mobile environment
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  • Multi-symbol joint channel estimation method in high speed mobile environment

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0050] LTE is a wireless communication protocol based on OFDM transmission system. When using 7.68MHz bandwidth to perform downlink wireless communication according to the LTE protocol, the CE-BEM order Q=3, the number of channel paths L=64, and the channel sparsity K=6. The specific steps of the multi-symbol joint channel estimation method under a kind of high-speed mobile environment of the present invention are as follows:

[0051] (1) The time-frequency dual-choice channel is modeled using the complex exponential base extension model (CE-BEM). The model is as follows:

[0052] ...

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Abstract

The invention discloses a multi-symbol joint channel estimation method in high speed mobile environment, wherein the method is based on an OFDM wireless communication system, and a channel estimation method based on pilot frequency is used. The multi-symbol joint channel estimation method in high speed mobile environment comprises the following steps of: 1) modelling for a time frequency double selective channel through a complex exponential-basis expansion model; 2) calculating the number J of joint estimation OFDM symbols, meeting that the channel corresponding to J continuous OFDM symbols has joint sparse property; 3) for the J continuous OFDM symbols, designing a sparse pilot frequency mode, and deriving a channel estimation model; 4) obtaining optimal pilot frequency position distribution through a discrete random optimization algorithm; 5) reconstructing a sparse coefficient through a block synchronization orthogonal matching pursuit (BSOMP); 6) recovering a channel tapping coefficient according to a coefficient reconstructed by a BSOMP algorithm; 7) performing piecewise linear smoothing for the channel tapping coefficient obtained through estimation. The multi-symbol joint channel estimation method in high speed mobile environment can effectively resist time frequency double selective fading, and can improve channel estimation accuracy and spectrum efficiency.

Description

Technical field: [0001] The present invention relates to a method for channel estimation by a receiver when a base station and a mobile terminal perform uplink and downlink communication in a time-frequency dual selective fading environment, specifically a multi-symbol joint channel estimation method in a high-speed mobile environment, belonging to The field of wireless communication technology. Background technique: [0002] In a wireless communication system, in order to effectively restore the original transmitted signal, the receiver needs to estimate the channel state information, and then perform equalization processing on the received signal. Therefore, the accuracy of channel estimation is crucial to the performance of wireless communication systems. [0003] In Orthogonal Frequency Division Multiplexing (OFDM) wireless communication systems, the traditional channel estimation methods include Least Squares (LS) method and Minimum Mean Square Error (MMSE) method. Co...

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Application Information

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IPC IPC(8): H04L25/02H04L25/03
Inventor 秦启波宫博归琳罗汉文
Owner SHANGHAI JIAO TONG UNIV
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