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Self-adaptive channel estimation method based on two-dimensional minimum mean square criterion

An adaptive channel and channel estimation technology, applied in the communication field, can solve the problems of difficulty in obtaining and the accuracy of channel estimation decrease, and achieve the effect of simple implementation and improved accuracy.

Inactive Publication Date: 2004-12-29
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, Robust channel estimation still needs to know several channel parameters in advance: maximum Doppler frequency shift, maximum multipath delay and noise power. Obviously, these three parameters are difficult to obtain
Therefore, in order to be able to adapt to unknown channels as much as possible, Robust channel estimation needs to assume that the maximum Doppler frequency shift, maximum multipath delay and noise power take relatively large values, which inevitably leads to a decrease in the accuracy of channel estimation.
[0005] In addition, there are literatures (D. Schafhuber, G. Matz, and F. Hlawatsch, "Adaptive Wiener filters for time-varying channel estimation inwireless OFDM systems", ICASSP'03, vol.4, pp.IV-688-IV- 691, 6-10 Apr.2003.) proposed channel estimation based on the time-domain LMS (least mean square) criterion. Although this method does not need to know the statistical characteristics of the channel, it can only use the channel in the time-domain dimension. relevance of

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  • Self-adaptive channel estimation method based on two-dimensional minimum mean square criterion

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[0042] The method of the present invention is an adaptive channel estimation method based on the 2D-LMS criterion. In order to realize the present invention, a certain number (usually within 10) of existing channels needs to be sent before the OFDM system starts to perform channel estimation. Knowing the OFDM symbol as the training sequence, then you can enter a channel estimation process that takes the OFDM symbol as the time unit and iteratively iterates. Each iteration includes filtering (or estimation), calculation of estimation error, and adaptive filtering. There are three steps to adjust the weight of the sensor. However, in the process of data transmission in the OFDM system, it is no longer necessary to insert pilots or training symbols, which has high spectral efficiency.

[0043] The specific embodiment of the method of the present invention is described in conjunction with accompanying drawing now:

[0044] In the OFDM system, a channel estimation processing part ...

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Abstract

The invention relates to a self-adaptive channel estimation method based on two-dimensional minimal mean square criterion, wherein 2d-LMS criterion, i.e. the two-dimensional correlation of the channels is utilized for self-adapting channel evaluation, thus no channel statistic characteristic is required when conducting channel evaluation.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to an adaptive channel estimation method based on 2D-LMS (two-dimensional least mean square) criterion in an OFDM system. Background technique [0002] With the rapid development of the Internet (Internet) and mobile communication technologies, there is a potentially huge demand for high-speed wireless data services. However, it is very difficult to provide high-speed data services in a harsh wireless channel environment. Therefore, the industry has been working hard to provide wireless transmission technologies with good performance. The existing OFDM (Orthogonal Frequency Division Multiplexing) technology has the ability to resist ISI (Inter-Symbol Interference) and can provide high spectral efficiency, so it is regarded as the most likely wireless transmission technology for high-speed wireless data services. OFDM has a wide range of applications, including: XDSL (Digital ...

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Application Information

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IPC IPC(8): H04B7/04H04J11/00H04J13/02
Inventor 侯晓林李书博尹长川刘丹谱乐光新罗涛纪红郝建军
Owner BEIJING UNIV OF POSTS & TELECOMM
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