新型信号预处理分离系统算法及性能分析

王建功; 沈越泓; 魏红艳

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新型信号预处理分离系统算法及性能分析

更新时间：2026-09-04

- 新型信号预处理分离系统算法及性能分析
- Pre-Processing Second-Order Cyclostationary BSS Algorithm and Its Performance Analysis
- 微电子学与计算机 2016年33卷第12期页码：130-133
- 作者机构：
  
  1. 中国人民解放军理工大学通信工程学院,江苏,南京,210014
  2. 北京信息技术研究所,北京,100094
- 作者简介：
- 基金信息：
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- 纸质出版：2016
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王建功, 沈越泓, 魏红艳. 新型信号预处理分离系统算法及性能分析[J]. 微电子学与计算机, 2016, 33(12): 130-133, 138.

WANG Jian-gong, SHEN Yue-hong, WEI Hong-yan. Pre-Processing Second-Order Cyclostationary BSS Algorithm and Its Performance Analysis[J]. 2016, 33(12): 130-133.
王建功, 沈越泓, 魏红艳. 新型信号预处理分离系统算法及性能分析[J]. 微电子学与计算机, 2016, 33(12): 130-133, 138. DOI：

WANG Jian-gong, SHEN Yue-hong, WEI Hong-yan. Pre-Processing Second-Order Cyclostationary BSS Algorithm and Its Performance Analysis[J]. 2016, 33(12): 130-133. DOI：

摘要

提出了一种新的信号预处理半盲分离算法(pre-processing second-order cyclostationary BSS algorithm

pPSoCBSS).该算法通过对信号进行预处理

使源信号具有可控的循环平稳特性

利用该特性在接收端对信号进行有效分离.此方法通过对发射端源信号进行预处理、信道识别和信号分离

使接收端可以精确地估计信道混合矩阵

并且具有优越的抗噪声特性

该方法即使在欠定的条件下也同样可以进行信道识别且性能没有损失.同时

通过计算机仿真对分离矩阵的估计效果采用PI指数进行衡量

并与JADE算法和SOBI算法进行了比较

仿真结果表明采用算法PI指数性能优于两种传统算法.

Abstract

In this paper

a new semi blind signal preprocessing algorithm (second-order cyclostationary BSS algorithm pPSoCBSS-pre-processing) is proposed. The algorithm is used to pre process the signal

so that the source signal has a controlled cycle stable characteristic

and the signal is effectively separated at the receiving end. Love method based on the transmitter source signal preprocessing

channel identification and signal separation

so that the receiver can estimate the channel mixing matrix accurately

and has excellent anti noise characteristics

this method even in underdetermined condition also can be identified and the channel performance is not lost. At the same time

measured through the computer simulation of the separation matrix estimation effect with the PI index

and compared with the JADE algorithm and SOBI algorithm

the simulation results show that the algorithm has better performance than the PI index of two kinds of traditional algorithm.

关键词

Keywords

references

Ma Xiaohong, Ding Shuxue, SongJifei, et al. Underdetermined blind separation of weak sparse sources via matrix transform layer by layer in the Time-Frequency domain[C]//IEEE 7th International Conference on Awareness Science%Technology. Qinhuangdao, China: IEEE, 2015: 96-100.

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Chenot C, Bobin J, Rapin J. Robust Sparse Source Separation[J]. IEEE Signal Processing Letters, 2015, 22(11): 2172-2176. DOI: 2172

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Kang Jaewook, Jung Hyoyoung, Kim Kiseon. Fast signal separation of 2-D sparse mixture via approximate message-passing[J]. IEEE Signal Processing Letters, 2015, 22(11): 2024-2028 DOI: 2024

Cardoso J F. Blind signal separation: statistical principles[J]. Proceedings of the IEEE, 1998, 86(10): 2009-2025. DOI: 2009

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宁娜, 王鹏. 调频步进频雷达信号处理关键技术研究[J]. 电子设计工程, 2015, 23(13): 1-4. DOI: 1

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