A Channel Estimation Method

Abstract

The invention discloses a channel estimation method. The method comprises the steps of S1, obtaining received signals, wherein the received signals comprise discrete pilot signals, data signals and / orcontinuous pilot signals, and obtaining channel frequency response at discrete pilot positions in the received signals; and S2, carrying out interpolation according to the channel frequency responseat the discrete pilot positions, thereby obtaining a channel frequency of the data signals and / or the continuous pilot signals, and finishing channel estimation, wherein a first-order linear interpolation method is employed in a time domain direction, and a Wiener filtering interpolation method is employed in a frequency domain direction. According to the method, the first-order linear interpolation method is employed in the time domain direction, and the Wiener filtering interpolation method is employed in the frequency domain direction. Under a low complexity precondition, the channel estimation is finished relatively precisely.

Description

technical field [0001] The present invention relates to the technical field of channel estimation, in particular to a channel estimation method. Background technique [0002] The performance of the wireless communication system is greatly affected by the wireless channel, such as shadow fading and frequency selective fading, etc., which makes the propagation path between the transmitter and receiver very complicated. The wireless channel is not fixed and predictable like the wired channel, but has great randomness, which poses a great challenge to the design of the receiver. The channel needs to be estimated in the coherent detection of the OFDM system, and the accuracy of the channel estimation will directly affect the performance of the whole system. In order to accurately restore the transmitted signal at the transmitting end at the receiving end, people use various measures to resist the influence of multipath effects on the transmitted signal. The realization of channe...

AI Technical Summary

Problems solved by technology

[0002] The performance of the wireless communication system is greatly affected by the wireless channel, such as shadow fading and frequency selective fading, etc., making the propagation path between the transmitter and receiver very complicated

The wireless channel is not fixed and predictable like the wired channel, but has great randomness, which poses a great challenge to the design of the receiver

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