A Blind Separation Algorithm of Single-Channel Signals Based on Serial Interference Cancellation and Factor Graphs

doi:10.7652/xjtuxb201510021

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A Blind Separation Algorithm of Single-Channel Signals Based on Serial Interference Cancellation and Factor Graphs

更新时间：2025-07-09

- A Blind Separation Algorithm of Single-Channel Signals Based on Serial Interference Cancellation and Factor Graphs
- Vol. 49, Issue 10, Pages: 130-135(2015)
- 作者机构：
  
  解放军信息工程大学信息系统工程学院,郑州,450001
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201510021
  CLC： TN911.7
- Online First：10 October 2015，
  
  Published：2015
- 稿件说明：
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A Blind Separation Algorithm of Single-Channel Signals Based on Serial Interference Cancellation and Factor Graphs[J]. 2015, 49(10): 130-135.
DOI：

A Blind Separation Algorithm of Single-Channel Signals Based on Serial Interference Cancellation and Factor Graphs[J]. 2015, 49(10): 130-135. DOI： 10.7652/xjtuxb201510021.

摘要

为解决复杂编码方式下单通道同频混合信号盲分离复杂度高的问题

提出了一种联合串行干扰抵消(SIC)与因子图的迭代分离算法。首先由传输信道参数来重构发送信道

然后根据重构信道进行SIC解调

获得解调信号软信息传递给译码模块

将译码增益反馈回SIC解调模块

利用迭代处理来实现分离。重点研究了解调与译码间信息迭代交互过程

以及2路信号分量的信道参数差异对分离性能的影响

得到随着迭代次数的增加以及信道参数差异性增加

算法分离性能将得到提升的结论。仿真实验表明

在LDPC编译码环境下

QPSK调制混合信号经2次迭代处理

分离性能较M-PSP算法提升2 dB以上。

Abstract

An iteration processing algorithm based on serial interference cancellation(SIC)and factor graph decoding is proposed to solve the high complexity problem of blind separation of single-channel co-frequency signals in complex coding. The forward channels are reconstructed based on the transmission channel parameters. Then

the SIC demodulation is completed under the premise of the channel reconstruction to obtain the soft information and to pass the information to the decoding module. The separation performance is improved with decoding gain feedback. Focuses are laid on the information interaction between demodulation and decoding

and the impact of the difference between channel parameters of signal components of two channels on the performance of demodulation. It is concluded that the separation performance of the algorithm is improved when the number of iterations increases and the difference of channel parameters increases. Simulation results and a comparison with the M-PSP algorithm with LDPC codes show that the proposed algorithm obtains a gain of about 2 dB in signal-noise ratio for QPSK signals after two iterations.

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references

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