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Method for estimating MIMO related channel based on self-adaptive training sequence

A technique of training sequence and channel estimation, applied in the field of communication signal processing, which can solve the problems of poor adaptive adjustment of training length and other problems

Active Publication Date: 2010-08-04
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the defects of fixed training sequence structure and poor adaptive adjustment performance of training length in the above-mentioned prior art, and provide a MIMO correlation channel adaptive estimation method based on training sequence

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  • Method for estimating MIMO related channel based on self-adaptive training sequence
  • Method for estimating MIMO related channel based on self-adaptive training sequence
  • Method for estimating MIMO related channel based on self-adaptive training sequence

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Embodiment Construction

[0041] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings.

[0042] refer to figure 1 , the principle of the MIMO channel estimation / data detection system based on the training sequence of the present invention is that at the beginning of each data frame / grouping, at first transmit a certain number of training symbols known to both ends of the transceiver, called the training sequence S τ . According to the received signal X in the training period, the receiving end τ and the training sequence S τ , using the minimum mean square error MMSE estimation criterion to estimate the channel parameter matrix in the frame After the training period, start transmitting the real information data symbol S d , the receiver uses the estimated channel parameters Receive signal X from the data transfer stage d Demodulate / decode the original data information The two ends of the transceiver realize the i...

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Abstract

This invention discloses a relative channel estimation method of MIMO based on self-adaptive training sequence. The process is that, the receptor determines the best length of the training sequence according to relative known information of the channel and transfers the value of the length and relative information of the channel through feedback link to the transmitter. The transmitter uses this feedback information to compute the optimal training sequence correspondent to current state of the channel according to the training sequence expression St=UD1 / 2tU*t designed by this model and transfers this optimal training sequence to the receptor through the forward link. Then the training cycle begins and the transmitter launches the training sequence to wireless channel. The receptor estimates the channel parameters of current time according to the known training sequence and the receipted signal in the training cycle and by using the minimum mean square error estimation criteria. The training sequence designed by this invention can make self-adaptive adjustment according to the needs of the actual system and the change of relative information of the channel. The invention has advantages of high estimation performance and strong robustness, thus can be used in wireless communication system with muti-antenna MIMO.

Description

technical field [0001] The invention belongs to the field of communication signal processing, and relates to a channel estimation method, which can be used in a multi-antenna MIMO wireless communication system. Background technique [0002] In the past ten years, information and communication technology and its application systems have developed rapidly, showing unprecedented prosperity. The development and maturity of mobile communication, wireless communication, multimedia information service and the Internet have shown a bright prospect for anyone to perform any kind of information interaction at any time and any place. At the end of the 20th century, the wide application of Internet technology and people's increasing dependence and demand on data transmission services have impacted and promoted the continuous upgrading of mobile communication technology. The existing third-generation mobile communication system has been difficult to meet the high-speed, multi-service, h...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/00H04L29/06H04B7/04
Inventor 李建东庞继勇赵林靖吕卓陈亮董伟
Owner XIDIAN UNIV
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