物理层网络编码中连续相位调制信号的非相干多符号检测

党小宇; 刘兆彤; 李宝龙; 李强

doi:10.11999/JEIT150671

物理层网络编码中连续相位调制信号的非相干多符号检测

doi: 10.11999/JEIT150671

1.
(南京航空航天大学电子信息工程学院南京 210016) ②(东南大学信息科学与工程学院南京 210096)

基金项目:

国家自然科学基金(61172078, 61201208)，教育部留学回国人员科研启动基金，中央高校基本科研业务费(NS2014038)，南京航空航天大学研究生创新基地开放基金(kfjj20150404)

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出版历程
- 收稿日期: 2015-06-04
- 修回日期: 2015-11-25
- 刊出日期: 2016-04-19

Noncoherent Multiple Symbol Detection for Continuous Phase Modulation in Physical-layer Network Coding

1.
(College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
2.
(College of Information Science and Engineering, Southeast University, Nanjing 210096, China)

Funds:

The National Natural Science Foundation of China (61172078, 61201208), The State Education Ministry Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, The Fundamental Research Funds for the Central Universities (NS2014038), The Foundation of Graduate Innovation Center in NUAA (kfjj20150404)

摘要

摘要: 基于连续相位调制(CPM)的物理层网络编码(PNC)由于其高效的吞吐率和频谱利用率特性引起了越来越多的关注。现有关于CPM-PNC检测的研究大多建立在到达中继端的两节点信号载波相位完全同步或相位差已知的基础上。实际应用中，这一载波相位差不可避免，也很难准确估计。针对这一问题，该文提出一种中继端存在未知载波相位差条件下的CPM-PNC非相干多符号检测算法。该算法根据最大似然检测原理，通过观察多个码元来实现中间码元的检测，充分利用了CPM信号的相位记忆特性。仿真结果表明，该文所提出的CPM-PNC非相干多符号检测算法性能优越。而且随着观察窗口长度的增大，其性能显著提高并逐渐趋近最优相干检测性能。在误码率(BER)为10-4 时，相比于非相干单符号检测，观察窗口长度为5个码元时的CPM-PNC非相干多符号检测有6.7 dB的性能增益。
- 物理层网络编码 /
- 连续相位调制 /
- 非相干多符号检测
Abstract: Physical-layer Network Coding (PNC) with Continuous Phase Modulation (CPM) attractes much attention due to its high efficiency in the throughput and the spectrum. Most present research on the detection of CPM-PNC signals is based on the assumption that signals transmitted from the two nodes arrivd at the relay haue perfect carrier synchronization or the carrier-phase offset is known. In practical applications, however, the carrier-phase offset is unavoidable and hard to estimate accurately. In this paper, a noncoherent multiple symbol detection algorithm for CPM-PNC signals is proposed to solve this problem. The proposed algorithm, which is based on the maximum likelihood principle, fully exploits the inherit memory of CPM signal and makes decision on the middle symbol by observing a group of symbols. Simulation results show that the performance of the proposed CPM-PNC noncoherent multiple symbol detection algorithm is superior. In addition, as the observation length gets larger, the performance of the proposed algorithm increases significantly and approaches that of CPM-PNC optimal coherent detection. When BER is10-4, compared with observation length of 1 symbol, the algorithm with observation length of 5 symbols achieves 6.7 dB performance gain.
- Physical-layer Network Coding (PNC) /
- Continuous Phase Modulation (CPM) /
- Noncoherent multiple symbol detection

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