Channel estimation method and system

Abstract

The invention relates to the technical field of wireless communication, and in particular relates to a channel estimation method and a channel estimation system. The channel estimation method comprises the steps of a, giving a polite frequency sequence of a zero time block; b, estimating channel information of the t-th time block by using a sparse channel estimation algorithm based on a transmission signal of the (t-1)th time block in the t-th time block, wherein t is not less than 1 and not more than T, and T is the amount of the time blocks, and when t is equal to 1, the transmission signal of the previous time block is the polite frequency sequence of the zero time block; c, using a maximum likelihood signal detector to detect the transmission signal of the t-th time block based on the channel information of the t-th time block; and d, iteratively executing the step b and the step c, until channel information estimation and transmission signal detection of the T time blocks are completed. According to the method and the system provided by the invention, an online iteration fast algorithm with low complexity is achieved, instantaneity of the algorithm is improved, and accuracy of the channel estimation algorithm is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a channel estimation method and system. Background technique [0002] Due to the sharp increase in the free path loss of millimeter wave communication, most of the early research on millimeter wave communication focused on indoor scenarios. However, thanks to millimeter-level wavelengths, large-scale millimeter-wave communication system antenna arrays can be densely arranged on smaller printed circuit boards, so beamforming technology based on large-scale antenna arrays is widely used in practical millimeter-wave communication systems. wave communication system to combat severe path loss. New York Institute of Technology pointed out based on the outdoor measured data in the Manhattan area that combined with beamforming technology, the coverage of a single micro base station in the millimeter wave communication system can reach up to 200 meters, which is co...

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Problems solved by technology

[0004] In the above, due to the difference between the array response of the transmitting and receiving antennas in the mmWave channel model and the representation of the single-antenna array response matrix in the existing methods, the existing channel estimation method based on the minimization of one-dimensional atomic norm cannot be directly extended to the dual mmWave channel information estimation of antenna array response

Moreover, the above channel estimation methods are all limited to pilot-based channel estimation mechanisms, which will generate a large amount of pilot training load and seriously reduce the spectral efficiency of the system.

In addition, the existing signal detection algorithms do not take into account the characteristics of small detection errors in actual wireless communication systems, resulting in high signal detection errors

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