A semi-blind channel estimation method and system

Abstract

The present invention belongs to the wireless communication system technology field, and especially relates to a semi-blind channel estimation method and system. The method comprises: the step a: in a first time block, employing the sparse signal reconstruction algorithm to establish a sparse channel reconstruction model based on training pilot signals, and estimating the channel information of the first time block through the sparse channel reconstruction model; the step b: in the tth time block, employing a maximum likelihood detector to detect the transmission signals of the tth time block based on the channel information of the tth time block, wherein 2<=t<=T, and T is the total number of the time blocks; and the step c: based on the transmission signals of the tth time block, employing the semi-blind channel estimation to establish a semi-blind sparse channel reconstruction model, and establishing the channel information of the tth time block through the semi-blind sparse channel reconstruction model. The semi-blind channel estimation method and system can highly and tightly approach to the parameter sparsity in a continuous domain angle space domain so as to greatly improve the system frequency spectrum efficiency.

Description

technical field [0001] The invention belongs to the technical field of wireless communication systems, and in particular relates to a semi-blind channel estimation method and system. Background technique [0002] The millimeter-wave large-scale multi-antenna system is expected to achieve a data transmission rate of gigabits per second compared with the traditional multi-antenna system. In order to obtain higher communication system throughput, it is a very critical step for the transceiver to acquire channel information. In fact, the channel part is the medium through which information must be effectively transmitted. Accurate and real-time channel information is the key to realizing beamforming, multi-user scheduling, rate allocation, self-adaptation, channel equalization, signal detection and decoding in millimeter wave communication systems. basic basis for operation. However, in a large-scale multi-antenna system, due to the increase in the number of transceiver antenn...

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Problems solved by technology

However, due to the difference in matrix representation between the transmit and receive antenna array response in the mmWave channel model and 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 a dual-antenna array with both transmit and receive antennas. Response mmWave channel information estimation

[0006] At the same time, the channel estimation methods mentioned above are all limited to the pilot-based channel estimation mechanism, which generates a large amount of pilot training load and seriously reduces the spectral efficiency of the system.

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