北京航空航天大学学报 ›› 2021, Vol. 47 ›› Issue (8): 1524-1532.doi: 10.13700/j.bh.1001-5965.2020.0262

• 论文 • 上一篇    下一篇

基于特征序列的时域STBC-OFDM盲识别算法

于柯远1, 张立民1, 闫文君1, 金堃2   

  1. 1. 海军航空大学 信息融合研究所, 烟台 264001;
    2. 海军航空大学 航空基础学院, 烟台 264001
  • 收稿日期:2020-06-15 发布日期:2021-09-06
  • 通讯作者: 张立民 E-mail:gfsskfqp@163.com
  • 基金资助:
    国家自然基金重大研究计划(91538201);“泰山学者”建设工程专项(201511020)

Blind identification algorithm of time-domain STBC-OFDM based on feature sequence

YU Keyuan1, ZHANG Limin1, YAN Wenjun1, JIN Kun2   

  1. 1. Information Fusion Institute, Naval Aviation University, Yantai 264001, China;
    2. School of Basis of Aviation, Naval Aviation University, Yantai 264001, China
  • Received:2020-06-15 Published:2021-09-06
  • Supported by:
    National Natural Science Foundtion Monumental Projects of China(91538201); Taishan Scholar Special Foundation(201511020)

摘要: 为有效解决STBC-OFDM信号盲识别过程中存在的低信噪比适应能力弱等问题,在OFDM块大小已知的前提下,提出了一种在时域上构造特征序列的识别算法。该算法推导了空时分组码接收信号的时域特性,以及四阶特征向量,并构造特征序列,通过检测特征序列达到识别4种STBC-OFDM信号的目的。推导和仿真结果表明:所提算法无需信道、噪声、调制方式和OFDM块起始位置等先验信息,在较低信噪比条件下也具有良好的识别性能,且对频偏、多普勒频移和时延的鲁棒性能好,计算量较低,具有较高的实用价值。

关键词: 信号与信息处理, 信号盲识别, 空时分组码(STBC), 四阶特征向量, 时域特征序列

Abstract: In order to effectively solve the problem of low SNR adaptability in the blind identification process of STBC-OFDM signals, an identification algorithm for constructing feature sequences in time domain is proposed under the premise of known OFDM block size. This algorithm deduces the time-domain features and the fourth-order eigenvectors of the STBC received signals and constructs the feature sequences. By detecting the feature sequences, the four STBC-OFDM signals are identified. The derivation and simulation results show that this algorithm does not need priori information such as channel, noise, modulation mode and starting position of OFDM block, and has good recognition performance under low SNR conditions. It has good robustness to frequency offset, Doppler frequency shift and time delay, requires low calculation amount, and thus has high practical value.

Key words: signal and information processing, blind signal identification, Space Time Block Codes (STBC), fourth-order eigenvector, time-domain characteristic sequence

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