Equalization method taking full advantage of channel multi-path characteristic

An equalization method and channel technology, applied in transmission control/equalization, shaping network in transmitter/receiver, baseband system, etc., can solve problems such as inability to make good use of channel multipath characteristics

Active Publication Date: 2019-03-01
FUZHOU UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

For the MAP equalization method based on message delivery, the traditional method is to perform independent message calculation for each received packet to

Method used

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  • Equalization method taking full advantage of channel multi-path characteristic
  • Equalization method taking full advantage of channel multi-path characteristic
  • Equalization method taking full advantage of channel multi-path characteristic

Examples

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Embodiment 1

[0069] The multipath channel has a total of dc=8 paths, BT=0.001, where B is the Doppler frequency shift, T is the symbol duration, the fading factors of each path obey the Rayleigh distribution, and the time delay distribution of each path is [01246101114]*T, corresponding to The power distribution of each path is [-7-310-2-6-7-1]dB. The channel impulse response length Lh=15, L=Lh-1=14. The channel is superimposed with white Gaussian noise.

[0070] The received symbol packet length is LY=16, the transmitted symbol packet length is LX=30, and the number of iterations is 5.

[0071] The sampling output after receiving the filter, after removing the previous 14 symbols, is grouped in groups of 16 to obtain all received symbol groups, and the symbols of each group are numbered from 1.

[0072] The following describes the processing of the second received symbol group. For other received packets, except that the channel impulse response and received symbol values ​​are differe...

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Abstract

The invention relates to an equalization method taking full advantage of a channel multi-path characteristic. The equalization method takes full advantage of delayed extension characteristics of multi-path channels to improve an equalization performance, and is characterized by successively performing matched filtering, sampling, receiving symbol grouping, channel factor matrix construction, symbol-to-message iterative computation in groups and judgment; wherein during message iterative computation, message of partial symbols of a next receiving group is used as external message of corresponding symbols of a current group to participate in computation; during the judgment, absolute values of confidence ratios of transmitting symbols at the rear part of the current group are compared with absolute values of confidence ratios of transmitting symbols at the front part of the next group one by one, if the latter absolute value is greater than the former absolute value, the confidence ratioof the current group is replaced by the confidence ratio of the next group; in this way, the confidence ratio of the transmitting symbol group is improved, judgment accuracy is raised, and a BER (BitError Rate) after equalization is lower than a BER after processing which does not take full advantage of the channel multi-path characteristic.

Description

technical field [0001] The invention relates to the equalization technology of the receiving end of the communication system, in particular to an equalization method which fully utilizes the multipath characteristic of the channel. Background technique [0002] In the wireless mobile communication system, the channel is multi-path and variable, so that it has dual selectivity in the frequency domain and time domain, and inter-symbol interference occurs during the transmission of the transmitted signal, resulting in a high reception error rate. Therefore, the receiving end needs more effective equalization and signal correction to reduce the bit error rate so that the next stage of channel decoding can play a better role. [0003] For the equalization of single-carrier communication, the traditional processing methods are linear transversal filtering method and nonlinear decision feedback method (DFE). Their computational complexity is low, and increases linearly with the inc...

Claims

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Application Information

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IPC IPC(8): H04B7/005H04L25/03
CPCH04B7/005H04L25/03006
Inventor 郭里婷陈平平
Owner FUZHOU UNIV
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