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A Channel Ambiguity Removal Method in Blind Detection of MIMO Signal

A blind detection and ambiguity technology, applied in the directions of space transmit diversity, baseband system components, diversity/multi-antenna systems, etc., can solve the problem of non-cooperative MIMO communication ambiguity

Inactive Publication Date: 2016-07-27
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

In non-cooperative communication, the precoding matrix is ​​designed by the sender and unknown to the receiving end, so the precoding matrix cannot be used to solve the ambiguity problem in non-cooperative MIMO communication

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  • A Channel Ambiguity Removal Method in Blind Detection of MIMO Signal
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  • A Channel Ambiguity Removal Method in Blind Detection of MIMO Signal

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Embodiment Construction

[0059] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0060] refer to Figure 1 to Figure 4 , the channel ambiguity removal method in MIMO signal blind detection of the present invention, its implementation steps are as follows:

[0061] Step 1. Divide the channel matrix of the MIMO system into M t channels of a SIMO system

[0062] Assuming a M t × M r MIMO system, each transmit antenna to all receive antennas is a SIMO system, we can regard a MIMO system as M t The channel matrix of the MIMO system can be divided into M t The channel of each SIMO system is estimated separately.

[0063] Step 2. Intercept the received signal of each SIMO system

[0064] Based on the time-domain orthogonality of the training sequence, the starting position of the training sequence transmission on each transmitting antenna can be determined by using time synchronization technology and cutoff position...

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Abstract

The invention discloses a channel ambiguity removing method in the MIMO signal blind detection process. The method is characterized by including the first step of dividing a channel matrix of an MIMO system into channels of Mt SIMO systems, the second step of intercepting received signals of each SIMO system, the third step of estimating the channels of each SIMO system through a subspace blind channel estimation algorithm based on second-order statistics according to the intercepted received signals, the fourth step of estimating the obtained channels and the received signals of each SIMO system and balancing out a training sequence of each transmitting antenna through a zero-forcing mode, and the fifth step of utilizing the training sequence obtained through balancing in a first frame and the intercepted signals to carry out channel estimation on subsequent data blocks, enabling the channels of the Mt SIMO systems to form the channel matrix of the MIMO system and obtaining the channel estimation value of the MIMO system. The channel ambiguity removing method has the advantages of being fewer in calculated quantity and low in complexity, eliminating sorting ambiguity, reducing normalization root-mean-square errors and the error rate of the system and improving the reliability of a non-cooperative communication system.

Description

technical field [0001] The invention relates to a blind channel estimation technology, in particular to a channel ambiguity removal method in MIMO signal blind detection, which can be applied to blind recognition and blind detection of various multi-antenna signals and cooperative communication signals, and belongs to the field of communication technology. Background technique [0002] Channel estimation refers to the process and method for the receiver to obtain channel state information (ChannelStateInformation, CSI). The accuracy of channel estimation affects the receiving performance and the quality of data transmission. Since the decoding at the receiver needs to know the channel state information, the estimation and identification of the wireless mobile channel is a main research field in the wireless communication signal processing. Traditional non-blind channel estimation usually implements channel estimation by designing training sequences or inserting pilots in da...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04B7/04
Inventor 刘毅张海林李勇朝胡梅霞贾晓婷李丹萍赵玉婷
Owner XIDIAN UNIV
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