OFDM channel estimation device and method

Abstract

The invention discloses an OFDM channel estimation device and method. The OFDM channel estimation device comprises an amplitude value comparison module, a loop filtering module, a predicated value generation module and an estimation value generation module. One input end of the amplitude value comparison module is used for receiving an observation value, the other input end of the amplitude value comparison module is connected with the output end of the predicated value generation module, the output end of the amplitude value comparison module is connected with the input end of the loop filtering module, the output end of the loop filtering module is connected with the input end of the predicated value generation module, and when the error value output by the amplitude value comparison module is within a preset error range, an estimation value output by the estimation value generation module is the final result. The channel estimation device is clear in structure and easy to obtain, a few computing resources are occupied, and the performance of the channel estimation device is better than that of a Kalman filter using a first-order autoregressive model through a traditional method.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) channel estimation device and method. Background technique [0002] OFDM technology is a multi-carrier modulation technology. In an OFDM communication system, a slowly fading broadband frequency selective channel is divided into a series of parallel and mutually orthogonal flat fading narrowband channels. This implementation effectively eliminates inter-symbol interference (ISI) and inter-carrier interference (ICI), so it has been widely used, such as terrestrial digital TV broadcasting standards, fourth-generation mobile communication standards, broadband power line standards, etc. [0003] Communication in a complex environment, such as radio communication, power line carrier communication, etc., the carrier signal will be affected by physical effects such as refract...

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Problems solved by technology

In the fast time-varying environment, this method is proved to be an effective and high-performance estimator, and its asymptotic mean square error can be close to the Cramer-Lau lower limit. However, in the slow time-varying environment, due to the very Closer to 1 leads to a larger model error, which cannot guarantee the performance of channel estimation

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