通信学报 ›› 2016, Vol. 37 ›› Issue (4): 172-181.doi: 10.11959/j.issn.1000-436x.2016084

• 学术通信 • 上一篇    下一篇

基于判决反馈的CPFSK信号非相干多符号检测算法

陈强1,芮国胜2,孙文军1,田文飚2,张洋2   

  1. 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
  • 出版日期:2016-04-25 发布日期:2016-04-26
  • 基金资助:
    国家自然科学基金资助项目

Noncoherent multiple symbol detection of CPFSK based on decision-feedback

Qiang CHEN1,Guo-sheng RUI2,Wen-jun SUN1,Wen-biao TIAN2,Yang ZHANG2   

  1. 1 Department of Electronic and Information Engineeri g, Naval Aeronautical and Astronautical University,Yantai 264001, China
    2 Graduate Students' Brigade, Naval Aeronautical and Astronautical University,Yantai 264001, China
  • Online:2016-04-25 Published:2016-04-26
  • Supported by:
    The National Natural Science Foundation of China

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。

关键词: CPFSK, 非相干多符号检测, 判决反馈, 平均匹配滤波

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.

Key words: CPFSK, noncoherent multiple symbol detection, decision feedback, average matched filter

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