Channel estimation unit and channel estimation method

Abstract

The invention discloses a channel estimation unit and a channel estimation method. The method comprises steps of: processing a sliding mutual correlation operation on the local training sequence and received signal sequence to attain a correlation sequence R(n); attaining the amplitude sequence |R(n)| of the R(n) sequence; dividing each mutual correlation value whose amplitude is higher than an amplitude threshold value T by a factor to attain a channel fading estimated value and a phase bias estimated value corresponding to each path, wherein the factor is the average power of the local training sequence; determining each index of the |R(n)| higher than the amplitude threshold value T, wherein the minimum index is n<1>; reducing each index by n<1> to attain the index value of each path; wherein the amplitude threshold value T has a proportionally relation to the average power of the R(n) sequence. The invention provides a novel channel estimation method, which can realize channel estimation without converting time domain to frequency domain, to simplify the channel estimation, save the resource of FFT devices and shorten the channel estimation time.

Description

technical field [0001] The invention relates to a mobile multimedia broadcasting system, in particular to a channel estimation unit and a channel estimation method. Background technique [0002] In the mobile multimedia broadcasting system, since the frequency response of the wireless channel is time-varying, in order to correctly demodulate the transmitted data at the receiving end, a reasonable channel estimation is required. At present, there are roughly two types of methods for estimating wireless channels, one is based on training sequences, and the other is based on pilots. The training sequence is divided into two types: implicit training sequence and explicit training sequence. The explicit training sequence is a section of signal agreed by the transceiver and fixed in the frame structure. The invisible training sequence is a section intercepted from the received signal and stored in RAM. in the signal. [0003] Taking the explicit training sequence as an example, ...

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Problems solved by technology

[0004] It can be seen that the existing channel estimation based on the training sequence is usually completed in the frequency domain, so Fourier transform is required to complete the conversion between the time domain and the frequency domain when performing channel estimation, so it will occupy the resources of the FFT device and cost more time

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