Index Modulation Recognition Based on Projection Residual Analysis

被引:3
作者
Zhang, Zixuan [1 ]
Liu, Fulai [2 ]
Sheng, Juan [3 ]
Huang, Caimei [2 ]
Shi, Baozhu [4 ]
机构
[1] Northeastern Univ Qinhuangdao, Sch Math & Stat, Qinhuangdao 066004, Hebei, Peoples R China
[2] Northeastern Univ Qinhuangdao, Sch Comp & Commun Engn, Qinhuangdao 066004, Hebei, Peoples R China
[3] Northeastern Univ Qinhuangdao, Comp Ctr, Qinhuangdao 066004, Hebei, Peoples R China
[4] Northeastern Univ, Comp Sci & Engn, Shenyang 110004, Peoples R China
基金
中国国家自然科学基金;
关键词
Modulation recognition; index modulation; projection residual; cognitive radio; SPATIAL MODULATION; AUTOMATIC MODULATION; OFDM; NETWORKS; SYSTEMS; SIGNALS;
D O I
10.1109/TCCN.2022.3173670
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Index modulation recognition (IMR) at secondary user (SU) receiver is a challenging topic for MIMO-OFDM cognitive radio network (MIMO-OFDM-CRN) with index modulation scheme, in order to make SU preferably adapt to the communication environment by adjusting own parameters. For index modulated signals, this paper proposes an effective IMR algorithm based on projection residual analysis (PRA). The proposed algorithm is suitable for various types of modulation such as spatial index modulation (SIM), frequency index modulation (FIM) and space-frequency index modulation (SFIM). Firstly the sparse structure of primary user (PU) signal is detected through removing the joint sparsity of signal matrix. Secondly, according to the detected sparse structure, the problem of whether the signal is index modulation (IM) or unindexed modulation (UIM) is addressed by projection residual analysis with z-test. The hypothesis test judges whether the projection residual power of the received signal is significant compared with that of the UIM case, where the projection residual is obtained through projecting the subcarrier signals in the current index modulation symbol into the subspace of those in the previous symbol. The distribution of the test statistic is derived theoretically under UIM case. Thirdly, combining the detected sparse structure and the results of z-test, the index modulation mode of PU signal is identified. Simulation results verify the performance of the proposed algorithm in terms of bit error rate (BER) and recognition rate, respectively.
引用
收藏
页码:1387 / 1398
页数:12
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