Channel ambiguity removing method in MIMO signal blind detection process

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

Inactive Publication Date: 2014-04-30
XIDIAN UNIV
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Problems solved by technology

In non-cooperative communication, the precoding matrix is ​​designed by the sender and unknown to the receivi...

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  • Channel ambiguity removing method in MIMO signal blind detection process
  • Channel ambiguity removing method in MIMO signal blind detection process
  • Channel ambiguity removing method in MIMO signal blind detection process

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Embodiment Construction

[0059] Hereinafter, the present invention will be specifically introduced with reference to the drawings and specific embodiments.

[0060] Reference Figure 1 to Figure 4 In the method for removing channel ambiguity in blind detection of MIMO signals of the present invention, the implementation steps are as follows:

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

[0062] Suppose an M t ×M r MIMO system, each transmitting antenna to all receiving antennas is a SIMO system, we can regard a MIMO system as M t It is composed of a SIMO system, so the channel matrix of the MIMO system can be divided into M t The channels of each SIMO system are estimated individually.

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

[0064] Based on the time domain orthogonality of the training sequence, time synchronization technology can be used to determine the starting position of the training sequence on each transmit antenna And cutoff pos...

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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 present invention relates to a blind channel estimation technology, in particular to a method for removing channel ambiguity in blind detection of MIMO signals, 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 by which the receiver obtains Channel State Information (CSI). The accuracy of channel estimation affects the reception performance and data transmission quality. Since the decoding at the receiving end requires known channel state information to complete, the estimation and identification of wireless mobile channels is a major research field in wireless communication signal processing. Traditional non-blind channel estimation is generally implemented by designing training sequences or inserting pilots in data packets. The disadv...

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Application Information

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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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