Open AccessProbabilistic frequency‐hopping sequence with low probability of detection based on spectrum sensing
Author(s) -
Ning Ben,
Li Zan,
Guan Lei,
Zhou Fuhui
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0072
Subject(s) - probabilistic logic , computer science , sequence (biology) , noise (video) , bit error rate , frequency hopping spread spectrum , wireless , transmission (telecommunications) , algorithm , constraint (computer aided design) , spread spectrum , covert , telecommunications , mathematics , decoding methods , artificial intelligence , channel (broadcasting) , linguistics , genetics , geometry , philosophy , image (mathematics) , biology
Due to the broadcast nature of the radio propagation, requirements of high data rates and low probability of detection (LPD) form a well‐known trade‐off problem in covert wireless communication. Frequency hopping (FH) is a communication technology that is able to efficiently solve this problem by randomly switching its transmission channels. However, it is extremely complex to design an FH sequence (FHS) in a coloured noise scenario where different channels have different noise levels. To address this issue, in this paper, we propose a novel probabilistic FHS based on spectrum sensing. The FHS achieves the LPD among typical FHS under the constraint on a prescribed bit error rate. The authors present two algorithms that are used to generate the FHS and we analyse their computational complexity. To evaluate the performance of the sequence, we derive an expression for the probability of detection (PD). Simulation results show that the system bit error rate and the PD of the proposed FHS are low, and can be flexibly adjusted according to various practical requirements.