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Code index modulation method with multidimensional invisible data mapping
Author(s) -
Liu Fang,
Zheng Yuanfang,
Lu Hongyang,
Feng Yongxin
Publication year - 2022
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/sil2.12159
Subject(s) - direct sequence spread spectrum , computer science , bottleneck , data transmission , transmission (telecommunications) , modulation (music) , code (set theory) , spread spectrum , offset (computer science) , bit error rate , algorithm , real time computing , set (abstract data type) , telecommunications , computer hardware , embedded system , decoding methods , channel (broadcasting) , philosophy , programming language , aesthetics
With the continuous improvement of the application requirements of Direct Sequence Spread Spectrum (DSSS), especially the high requirements of data transmission rate, the advantages of traditional DSSS system are limited, so the index modulation DSSS technology appears. However, at present, there are still some key problems such as high‐order data rate, high bit error rate and high synchronisation complexity. Therefore, in view of the above bottleneck problems, the code index modulation method with multidimensional invisible data (MID‐CIM) is proposed. On the basis of deeply mining the hidden features of DSSS communication mechanism, the index order and shift order are established, and the two‐dimensional invisible data index transmission rules are established using a bit reversed and pseudo code (PN) set mapping mechanism, and then the three‐dimensional invisible data index transmission rules are established by using the cyclic displacement and pseudo code offset mechanism. The MID‐CIM method not only ensures the effective transmission of one‐dimensional data, but also uses the transmission of low‐speed one‐dimensional data to index transmit high‐speed two‐dimensional and three‐dimensional invisible data. This research can provide the technical basis for the efficient application of DSSS system, and also provide theoretical support and technical support for the new development and application of a communication system based on the spread spectrum system.

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