2017 年 4 月 Journal on Communications April 2017
2017082-1
第 38 卷第 4 期 通 信 学 报 Vol.38
No.4
基于改进 K-S 检测的 STBC-OFDM 信号盲识别算法研究
凌青，张立民，闫文君
（海军航空工程学院信息融合所，山东 烟台 264001）
摘 要：针对多输入单输出（MISO, multiple input single output）通信系统的 STBC-OFDM 信号盲识别问题，提出
基于 OFDM 块的改进 Kolmogorov-Smirnov (K-S)检测方法。该方法首先对 MISO 通信系统的 STBC-OFDM 信号建
模；然后利用 STBC-OFDM 信号编码矩阵的相关性，构造不同时延向量下 STBC-OFDM 接收信号 OFDM 块的经
验函数作为特征函数；最后通过改进 K-S 检测方法检验经验分布函数之间的距离盲识别 STBC-OFDM 信号。该方
法不需要噪声信息、调制信息和信道系数，适合非合作通信场合。理论分析和实验验证了该方法的可行性。
关键词：MISO 通信系统；STBC-OFDM 信号；改进 K-S 检测；经验分布函数
中图分类号：TN911.7 文献标识码：A
Blind recognition of STBC-OFDM signals based on modified K-S test
LING Qing, ZHANG Li-min, YAN Wen-jun
(Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China)
Abstract: Aiming at the problem that existed blind classification of STBC-OFDM in multiple input single output (MISO)
communication system, an efficient method for blind classification of space-time block coded orthogonal frequency-division
multiplexing (STBC-OFDM) signals based on modified Kolmogorov-Smirnov (K-S) test was proposed, when a single re-
ceiver antenna was employed at the receiver. Firstly, the model of received STBC-OFDM signals in MISO systems was giv-
en. Secondly, with the correlation of the coding matrix of STBC-OFDM signals, and the discrimination features function
provided by the empirical cumulative distribution (CDFs) of the received OFDM blocks was constructed. Finally, the dis-
tance between CDFs was tested by the two-sample K-S test, which could blindly classify the STBC-OFDM signals. The
proposed algorithm didn't need the estimation of channel, noise statistics and modulation type, and consequently, was well
suited for non-cooperative communication context. Theoretical analysis and experimental verify its validity.
Key words: MISO communication system, STBC-OFDM signal, modified K-S test, cumulative distribution function
1 引言
近几年，通信信号自动识别已经延伸到军事通
信和民用通信领域，如频谱监测、电子战、软件无
线电和认知无线电等。通信信号自动识别要求在无
任何发射端的先验信息和前端处理的前提下，能够
在较低的信噪比（SNR, signal noise ratio）条件下识
别接收端信号参数。因此通信信号自动识别一直是
非合作通信研究的热点和难点。
传统通信信号自动识别主要是针对单输入单
输出（SISO, single input single output）通信系统，
如调制识别、单载波与多载波的传输识别、不同
的多载波传输识别和信道编码。目前通信信号自
动识别已经延伸到多输入多输出（MIMO, multiple
input multiple output）通信系统，以适应无线通信
标准，如 IEEE 802.11n、IEEE 802.16e 和 3GPP
LTE。只有少数文献针对 MIMO 通信系统通信信
号自动识别问题的研究。文献[1]估计了 MIMO 通
收稿日期：2016-05-05；修回日期：2016-07-19
通信作者：张立民，iamzlm@163.com
基金项目：泰山学者工程专项基金资助项目（No.Ts201511020）；国家自然科学基金重大研究计划基金资助项目（No.91538201）
Foundation Items: The Project Supported by Taishan Scholar Foundation (No. Ts201511020), The Major Research Plan of the Na-
tional Natural Science Foundation of China (No.91538201)
doi:10.11959/j.issn.1000-436x.2017082
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