Method and device for downlink channel estimation of mimo-ofdm communication system based on two-dimensional compressed sensing
A technology of MIMO-OFDM and communication system, which is applied in the field of downlink channel estimation of MIMO-OFDM communication system based on two-dimensional compressed sensing, and achieves the effect of superior channel estimation performance
Active Publication Date: 2017-11-14
SOUTHEAST UNIV
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[0005] The existing compressed sensing channel estimation method (see literature: Implementation of greedy algorithms for LTE sparse channel estimation (authors: Maechler P, Greisen P, Sporrer B, et al.)), for each received pilot OFDM symbol, use The frequency domain part of the Fourier transform matrix is used as the observation matrix, and the frequency domain channel estimate at the pilot is used as the observation vector, which is directly solved by compressive sensing. This method only uses the correlation of OFDM symbols in the frequency domain, and does not use time domain correlation
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[0046] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0047] The present invention aims at the deficiencies of the existing channel estimation technology based on one-dimensional compressed sensing. Firstly, preliminary channel estimation in the frequency domain is performed, and then based on the theory of compressed sensing, the sparsity in the time delay domain and the existence of OFDM symbols in the time domain are considered. Correlation, by constructing a two-dimensional observation matrix, filters the preliminary frequency-domain channel estimation value in a two-dimensional range, thereby improving the performance of channel estimation.
[0048] The present invention is applicable to various MIMO-OFDM communication systems with slow-changing channels. In order to facilitate the public's understanding, the technical solution of the present invention will be described in detail below by taking the LT...
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The invention discloses a downlink channel estimation method of a MIMO-OFDM communication system based on two-dimensional compressed sensing, and belongs to the technical field of communication. The present invention aims at the deficiencies of the existing channel estimation technology based on one-dimensional compressed sensing. Firstly, preliminary channel estimation in the frequency domain is performed, and then based on the theory of compressed sensing, the sparsity in the time delay domain and the existence of OFDM symbols in the time domain are considered. Correlation, by constructing a two-dimensional observation matrix, filters the preliminary frequency-domain channel estimation value in a two-dimensional range, thereby improving the performance of channel estimation. The invention also discloses a downlink channel estimation device for a MIMO-OFDM communication system based on two-dimensional compressed sensing. Compared with the prior art, the present invention has better channel estimation performance.
Description
technical field [0001] The present invention relates to the field of communication technologies, in particular to a method and device for estimating downlink channels of a MIMO-OFDM communication system based on two-dimensional compressed sensing. Background technique [0002] In order to meet the increasing requirements of future mobile communication systems on system capacity, spectrum efficiency, data transmission rate, etc., in the existing LTE (Long Term Evolution, long-term evolution project) standard, multiple antennas (Multiple Input Multiple Output , Multiple Input Multiple Output) technology and OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) technology. Among them, MIMO technology can double the system capacity and spectrum utilization without increasing the bandwidth. On the other hand, OFDM technology is a representative technology in broadband transmission. A series of advantages such as insensitivity and flexible ...
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IPC IPC(8): H04L25/02H04L27/26
Inventor 巴特尔仲文高西奇柏森森朱峰高爱勇
Owner SOUTHEAST UNIV