Channel estimation unit and channel estimation method

A technology for channel estimation and estimation value, applied in the channel estimation unit and the field of channel estimation, can solve the problems of occupying FFT device resources and spending a lot of time, and achieve the effect of simplifying the process, reducing workload, and saving resources

Inactive Publication Date: 2008-11-26
新奇点智能科技集团有限公司
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AI Technical Summary

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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  • Channel estimation unit and channel estimation method
  • Channel estimation unit and channel estimation method
  • Channel estimation unit and channel estimation method

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Embodiment Construction

[0034] The technical solution of the present invention will be described in more detail below with reference to the drawings and embodiments.

[0035] The present invention provides a channel estimation unit, such as figure 1 As shown, it includes: a cross-correlation module, an amplitude sequence generation module, a transmission delay calculation module and a channel parameter acquisition module.

[0036] The cross-correlation module is used to perform a sliding cross-correlation operation on the local training sequence and the received signal sequence to obtain a cross-correlation sequence R(n).

[0037] Among them, the local training sequence used by the cross-correlation module can be the training sequence agreed with the sender in advance, or it can be an intercepted received signal, so it is applicable to the case of using explicit or invisible training sequence, and has high flexibility.

[0038] Among them, the cross-correlation operation is specifically performed ac...

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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, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04Q7/38H04H60/91
Inventor 张辉王西强宋挥师孟斐
Owner 新奇点智能科技集团有限公司
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