The Optimum Interference Suppression Technique in the MBER Sense for Spread Spectrum Systems

LI Lin; ZHOU Wen-hui; TAN Shu-sen

您当前的位置：

首页 >

文章列表页 >

The Optimum Interference Suppression Technique in the MBER Sense for Spread Spectrum Systems

更新时间：2025-07-16

- The Optimum Interference Suppression Technique in the MBER Sense for Spread Spectrum Systems
- Acta Electronica Sinica Vol. 33, Issue 1, Pages: 32-37(2005)
- 作者机构：
  
  1. 北京环球信息应用开发中心,北京,100094
  2. 南京电子技术研究所,江苏,南京,210013
  3. 北京环球信息应用开发中心北京,100094
  4. 南京电子技术研究所江苏南京,210013
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Published：2005
- 稿件说明：
移动端阅览
LI Lin, ZHOU Wen-hui, TAN Shu-sen. The Optimum Interference Suppression Technique in the MBER Sense for Spread Spectrum Systems[J]. Acta Electronica Sinica, 2005, 33(1): 32-37.
DOI：

LI Lin, ZHOU Wen-hui, TAN Shu-sen. The Optimum Interference Suppression Technique in the MBER Sense for Spread Spectrum Systems[J]. Acta Electronica Sinica, 2005, 33(1): 32-37. DOI：

摘要

通过论证最小化误码率(MBER)

最小均方误差(MMSE)以及约束最小均值输出能量(MMOE)之间的关系

将MBER准则下最优干扰抑制器的设计转化为后两种准则下最优干扰抑制器的设计

并分别导出两种自适应算法:递推最小二乘(RLS)和盲递推最小二乘(BRLS).前者抑制干扰效果好

但需要期望信号;后者无需期望信号

但抑制效果较差.本文将两种算法合理配合

给出了动态环境下的干扰抑制方法.

Abstract

By examining the relationship between the minimum bit error rate (MBER)

minimum mean square error (MMSE) and the constrained minimum mean output energy (MMOE)

we resolve the interference suppressor optimized in the MBER sense into the optimum suppressor in the MMSE criterion and the constrained MMOE criterion which lend themselves to adaptive implementation more readily than the MBER suppressor.This paper addresses the recursive least squares (RLS) algorithm and the blind RLS (BRLS) algorithm without known desire signal.The suppressed effect of the BRLS algorithm is shown to be significantly inferior to the RLS algorithm with known data sequences.This paper proposes the scheme of combining RLS with BRLS to solve the interference suppression in time-varying environment.

关键词

Keywords

references

Views

1014

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The Optimum Interference Suppression Technique Based on Kalman Filtering for Spread Spectrum Systems

Adaptive Tri-Threshold Narrowband Interference Suppression Algorithm

DME Interference Suppression Based on Local Robust Preprocessing

FMCW Radar Signal DOA Estimation Method Based on the Third-Order Cross Cumulant Under High Interference

Active Jamming Suppression for SAR Images Based on Self-Supervised Complex-Valued Deep Learning

Related Author

TAN Shu-sen

ZHOU Wen-hui

LI Lin

WANG Bo

CHEN Ming

LIANG Guang-ming

AO Yu

ZHOU Yue-ying

Related Institution

Beijing Research Institute of Systems EngineeringBeijing 100101China

Beijing Global Information CenterBeijing 100094China

Beijing Research Institute of Systems Engineering

Beijing Global Information Center

Institute of Telemetering Technology Beijing China

⁰