Ambiguity Removal Method for MIMO Blind Channel Estimation Based on Orthogonal Space-Time Block Coding

A technology of space-time block coding and channel estimation, which is applied to baseband system components, prevention/detection of errors through diversity reception, multi-carrier systems, etc., and can solve problems such as inability to accurately determine the ambiguity matrix and inability to solve ambiguity problems , to achieve the effect of narrowing the range and eliminating phase blur

Active Publication Date: 2017-03-29
XIDIAN UNIV
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Problems solved by technology

Choqueuse V et al. proposed a channel estimation method using higher-order statistics in "Blind channel estimation for STBC systems using higher-order statistics", and using STBC coding information, the channel estimation of the system using several specific patterns The ambiguity matrix is ​​limited to a set, but the ambiguity matrix cannot be determined accurately, so this method cannot solve the ambiguity problem of blind channel estimation in non-cooperative communication systems

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  • Ambiguity Removal Method for MIMO Blind Channel Estimation Based on Orthogonal Space-Time Block Coding
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  • Ambiguity Removal Method for MIMO Blind Channel Estimation Based on Orthogonal Space-Time Block Coding

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Embodiment Construction

[0043] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0044] 1. Establish, analyze and process MIMO space-time system model

[0045] 1. Establish MIMO space-time system model

[0046] Create a system with N t transmit antennas and N r A MIMO space-time system with two receiving antennas. Each frame signal transmitted by the transmitting antenna is composed of training sequence, cyclic prefix and data. The channel is a flat and slow-varying Rayleigh fading channel. Assuming continuous N f The channel state experienced by the frame signal is the same, that is, a data block consists of N f frame composition, such as figure 1 shown.

[0047] The training sequence in the wireless communication system is divided into a time domain orthogonal training sequence, a frequency domain orthogonal training sequence and a code domain orthogonal training sequence. In the space-time system model establi...

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Abstract

The invention discloses an MIMO blind channel estimation fuzziness removal method based on orthogonal space-time block codes. The method includes the following steps: establishing an MIMO space-time system to analyze training sequence signals; before emission, grouping and processing data signals and utilizing jointly a blind and training-sequence-based channel estimation method to carry out blind channel estimation on a first data block; and adopting a signal and channel joint two-dimension search on the first data block to carry out maximum likelihood decoding and using a training sequence estimation value obtained through zero forcing equalization to carry out training-sequence-based channel estimation on follow-up data blocks and then adopting sent-signal one-dimension search on the follow-up data blocks to carry out maximum likelihood decoding. The beneficial effects of the method are that signal and channel joint two-dimension search is adopted and inter-signal correlation in the orthogonal space-time codes is utilized to eliminate inherent phase fuzziness of a channel estimation result on the basis of blind channel estimation so that the range of channel possible solutions is reduced and convenience is provided to determination of phases of decoded signals.

Description

technical field [0001] The invention relates to a method for removing ambiguity of MIMO blind channel estimation, in particular to a method for removing ambiguity of MIMO blind channel estimation based on orthogonal space-time block coding, and belongs to the technical field of wireless communication. Background technique [0002] Channel estimation refers to the process and method for the receiver to obtain channel state information. Since channel equalization and decoding at the receiving end usually require known channel state information to complete, the accuracy of channel estimation seriously affects the receiving performance and data transmission quality, which also makes wireless channel estimation and identification an important task in wireless communication signal processing. research field. Traditional channel estimation generally implements channel estimation by designing training sequences or inserting pilots in data packets. The disadvantage of these methods ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L1/06H04L25/02H04L27/34
Inventor 刘毅李勇朝张海林胡梅霞赵玉婷
Owner XIDIAN UNIV
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