Time-domain adaptive channel estimating method based on pilot matrix

An adaptive channel and matrix technology, applied in the field of information transmission technology in applications, can solve the problems of poor channel estimation effect and low frequency domain channel estimation efficiency, and achieve weak cross-correlation, strong auto-correlation, and suppress channel noise Effect

Inactive Publication Date: 2005-01-05
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, since time-domain channel estimation inevitably needs to consider multipath effects (multipath effects can be avoided by using modulation methods such as OFDM in frequency-domain estimation), when the length of multipath estimation is large, its complexity is very high. Therefore, most current MIMO systems use frequency domain channel estimation. In the case of high data rate and fast movement, the effect of channel estimation is relatively poor, which exposes the low efficiency of frequency domain channel estimation, Doppler frequency shift (compared with mobile Speed ​​is closely related) Disadvantages of large impact

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  • Time-domain adaptive channel estimating method based on pilot matrix
  • Time-domain adaptive channel estimating method based on pilot matrix
  • Time-domain adaptive channel estimating method based on pilot matrix

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Embodiment Construction

[0023] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] exist figure 1 In the shown MIMO channel model, there are M transmitting antennas and N receiving antennas, thus forming a channel matrix H with a size of N*M. The matrix relation of channel estimation in the case of multipath is:

[0025] ψ=H∑+v

[0026] In the formula, ψ=[ψ 0 , ψ 1 ,...,ψ L-1 ], where ψk (k=0, 1, ..., L-1) represents t kM to t (k+1)M-1 Received signal matrix at time. H=[H 0 (t), H 1 (t),...,H L-1 (t)] (H i (t) represents the time-domain channel response of the i-th multipath channel). In addition, ∑=(∑ m，n ) M×M ,in

[0027] ∑ m，n =∑ (m+n) m=0,1,...L-1 n=0,1,...L-1

[0028] ∑ k (k=0,1,...,2L-2) means t (k-L+1)M to t (k-L+2)M-1 The matrix of transmitted signals at time.

[0029] Taking M=N=4, a channel model of 4 tran...

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Abstract

A calculation method for a time domain adaptive channel of MIMO system based on pilot matrix is to combine the pilot matrix with blocking circulation character with the least mean square error(LMS) adaptive algorithm. First of all, a basic pilot matrix block and a spread matrix are grown on its actual model and necessary estimation length then to acquire their cross product to get the pilot matrix to be transmitted by emitting antenna as the pilot emission signal and the receiving antenna received signal. Then the LMS adaptive algorithm is applied by picking up the internal relation between the two signals to calculate the actual channel adaptive time domain.

Description

technical field [0001] The invention relates to a pilot matrix-based time-domain adaptive channel estimation method, which can perform channel estimation on a multiple-input multiple-output (MIMO) wireless communication system, and belongs to the field of wireless transmission of information, especially mobile communication, digital television, etc. Information transfer technology in application. Background technique [0002] The MIMO (Multiple Input Multiple Output) system can effectively improve the frequency spectrum utilization of the channel. Existing studies have pointed out that under the condition that the required signal-to-noise ratio and spectral efficiency are constant, when the number of receiving antennas is greater than or equal to the number of transmitting antennas, the system capacity will increase linearly with the number of transmitting antennas. [0003] The channel estimation of MIMO system can be divided into time domain estimation and frequency domai...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04H04J11/00
CPCH04B7/0684
Inventor 管华亮宋文涛张海滨薛亮徐友云
Owner SHANGHAI JIAO TONG UNIV
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