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Fusion method of bidirectional iteration equilibriums of frequency domain

A technology of two-way iteration and fusion method, applied in the direction of shaping network, electrical components, transmission system, etc. in transmitter/receiver, which can solve problems such as high complexity

Active Publication Date: 2013-10-23
SICHUAN JIUZHOU ELECTRIC GROUP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the other hand, the feedback part still has high complexity in the time domain

Method used

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  • Fusion method of bidirectional iteration equilibriums of frequency domain
  • Fusion method of bidirectional iteration equilibriums of frequency domain
  • Fusion method of bidirectional iteration equilibriums of frequency domain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] Embodiment one: if figure 1 As shown, a frequency-domain two-way iterative equalization fusion method includes:

[0109] Step 1: Input signal r p After the first serial-to-parallel converter, it is processed by the first Fourier transformer as

[0110] Step 2: As described respectively processed by the time flipper as

[0111] Step 3: The Corresponding to the output after passing through the forward frequency domain iterative equalizer and the reverse frequency domain iterative equalizer respectively said The elapsed time flipper changes to

[0112] Step 4: As described After the weighted combiner is processed, the output is processed by the decision detector

Embodiment 2

[0113] Embodiment 2: On the basis of Embodiment 1, the forward frequency domain iterative equalizer and the reverse frequency domain iterative equalizer respectively correspond to the signal The process is:

[0114] Step 31: Signal After the feed-forward filter, the filtering process becomes And respectively with the forward frequency domain feedback signal Inverse Frequency Domain Feedback Signal Processed by the adder as After passing through parallel-to-serial converter and inverse Fourier transform in where the parallel-to-serial converter pairs the signal After performing the conversion, the P parallel-to-serial converters process The series signal is transformed by Fourier inverse, and the P ones are removed L sampling points at the end of the series signal;

[0115] Step 32: The Converted to After being transformed into by the second serial-parallel converter and the second Fourier transformer respectively Among them, when processed by the se...

Embodiment 3

[0117] Embodiment three: on the basis of embodiment two, the Fourier transform is a discrete Fourier transform or a fast Fourier transform, and the inverse Fourier transform is an inverse discrete Fourier transform or a fast Fourier transform inverse transformation.

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Abstract

The invention relates to the design of an equalizer and particularly relates to a fusion method of bidirectional iteration equilibriums of a frequency domain. The invention provides the fusion method of the bidirectional iteration equilibriums of the frequency domain aiming at the problems in the prior art, and improves a correlation coefficient when a threshold value is judged and detected, so that the algorithm complexity is reduced and the better equilibrium performance is realized. According to the fusion method disclosed by the invention, the technical scheme of the invention is realized after an input signal is processed by a feed-forward filter, a time overturning filter, a direct feedback filter and the like. The fusion method disclosed by the invention is applied to the field of signal processing.

Description

technical field [0001] The invention relates to equalizer design, in particular to a fusion method of bidirectional iterative equalization in frequency domain. Background technique [0002] With the development of wireless mobile communication, the complexity of the channel is also increasing. The fading of the channel in the system is already an important factor affecting the transmission performance of the system. There are many reasons for the fading of wireless communication signals, among which the main factors are multipath effect and Doppler effect. The frequency shift caused by the Doppler effect and the delay extension caused by multipath propagation. For broadband signals, in frequency-selective and time-dispersed channels, due to the existence of multipath, inter-symbol interference (ISI) will occur, resulting in waveform distortion of the transmitted signal, which will lead to bit errors in the judgment of the receiving end, seriously affect system performance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03H04B1/711
Inventor 姚卓
Owner SICHUAN JIUZHOU ELECTRIC GROUP
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