基于判决反馈的CPFSK信号非相干多符号检测算法

陈强; 芮国胜; 孙文军; 田文飚; 张洋

doi:10.11959/j.issn.1000-436x.2016084

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基于判决反馈的CPFSK信号非相干多符号检测算法

学术通信 | 更新时间：2024-06-05

- 基于判决反馈的CPFSK信号非相干多符号检测算法
- Noncoherent multiple symbol detection of CPFSK based on decision-feedback
- 通信学报 2016年37卷第4期页码：172-181
- 作者机构：
  
  1. 海军航空工程学院研究生管理大队，山东烟台264001
  2. 海军航空工程学院电子信息工程系，山东烟台264001
- 作者简介：
  
  [ "陈强（1990-），男，湖南长沙人，海军航空工程学院硕士生，主要研究方向为数字信号的调制解调。" ]
  [ "芮国胜（1968-），男，江苏南京人，博士，海军航空工程学院教授、博士生导师，主要研究方向为小波及小波变换理论、混沌检测系统、现代通信系统。" ]
  [ "孙文军（1987-），男，山东聊城人，海军航空工程学院博士生，主要研究方向为混沌弱信号检测技术。" ]
  [ "田文飚（1987-），男，江西南昌人，博士，海军航空工程学院讲师，主要研究方向为现代通信系统、压缩感知。" ]
  [ "张洋（1983-），男，山东烟台人，博士，海军航空工程学院讲师，主要研究方向为混沌弱信号检测技术、现代通信系统。" ]
- 基金信息：
  
  国家自然科学基金资助项目(41476089)
- DOI：10.11959/j.issn.1000-436x.2016084
  中图分类号： TN911.3
- 网络出版日期：2016-04，
  
  纸质出版日期：2016-04-25
- 稿件说明：
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陈强, 芮国胜, 孙文军, 等. 基于判决反馈的CPFSK信号非相干多符号检测算法[J]. 通信学报, 2016,37(4):172-181.

Qiang CHEN, Guo-sheng RUI, Wen-jun SUN, et al. Noncoherent multiple symbol detection of CPFSK based on decision-feedback[J]. Journal of communications, 2016, 37(4): 172-181.
陈强, 芮国胜, 孙文军, 等. 基于判决反馈的CPFSK信号非相干多符号检测算法[J]. 通信学报, 2016,37(4):172-181. DOI： 10.11959/j.issn.1000-436x.2016084.

Qiang CHEN, Guo-sheng RUI, Wen-jun SUN, et al. Noncoherent multiple symbol detection of CPFSK based on decision-feedback[J]. Journal of communications, 2016, 37(4): 172-181. DOI： 10.11959/j.issn.1000-436x.2016084.

摘要

针对传统多符号检测算法存在的计算复杂度高、工程实现难度大等问题，提出了基于判决反馈思想的改进算法。该算法利用已判决的码元信息，对观测长度内所有可能发送波形进行筛选，从而减少码元判决时所需的相关器数量，降低算法的检测复杂性。在低信噪比和高信噪比2种情况下推导出改进算法误码性能的联合上边界，并基于网格最小欧氏距离求得其性能下边界，明确界定了改进算法的误码性能。理论分析和仿真结果都表明，与传统算法相比，在不损失检测性能的前提下，改进算法的复杂度随着反馈码元个数的增加呈负指数幂减少。

Abstract

There is a great deal of issues in the traditional symbol detection algorithm such as high computational com-plexity and large engineering implementation difficulty. Considering these problems

an improved algorithm based on decision feedback was proposed. To reduce complexity

the approach in which ruling element information was employed to filter waveforms during length of observing bits. Besides

the theoretical performance was approved by a composition of upper bound and lower bound. Specifically

the form is a union bound which consists of being tight at high SNR and being tight at low SNR

the latter can be obtained by grid minimum Euclidean distance. Theoretical analysis and si-mulation results show that compared with the traditional algorithm

the improved algorithm could keep no loss of detec-tion performance

but the complexity is reduced at negative exponent power way with the increase of number of feedback element.

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