Regression forest for interference assessment in real ultra short-wave communication jamming system

Zhang, Lei; Xiao, Tinghan; Jia, Hao; Xiang, Xuezhi

doi:10.1109/wcica.2016.7578358

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…The performance of any single objective assessment on proposed features (MFCC, Mel, LPC, LPCC, Wavelet, ENR, formant peak) is poor. As shown in [11], Wavelet and formant peak are with better performance. Fig.…”

Section: B Analysis On Objective Assessmentmentioning

confidence: 92%

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Assessment of Extreme Communication Environment With Ultralow SNR: A Benchmark

Zhang

Zhao

2021

IEEE Access

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Section: B Analysis On Objective Assessmentmentioning

confidence: 92%

“…We hope to consider much more objective measurements from different aspects and build the relations to subjective IDL by random forests. As introduced in [11], random forests undergoes learning and predicting stages as shown in Fig. 4, and it can select and fuse the most representative features closely related to subjective measurement.…”

mentioning

confidence: 99%

Assessment of Extreme Communication Environment With Ultralow SNR: A Benchmark

Zhang

Zhao

2021

IEEE Access

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“…Due to the invulnerability of the ionosphere, high frequency (HF) communication techniques have drawn intensive interest in the development of reliable high-speed data communication systems [23], [24]. In this paper, we conceive a DFH based secure wireless system, which has the structure as depicted in Fig.…”

Section: A System Model and Main Assumptionsmentioning

confidence: 99%

High-Security Sequence Design for Differential Frequency Hopping Systems

Chen¹,

Shi²,

Yang³

et al. 2021

IEEE Systems Journal

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Differential frequency hopping (DFH) technique is widely used in wireless communications by exploiting its capabilities of mitigating tracking interference and confidentiality. However, electronic attacks in wireless systems become more and more rigorous, which imposes a lot of challenges on the DFH sequences designed based on the linear congruence theory, fuzzy and chaotic theory, etc. In this paper, we investigate the sequence design in DFH systems by exploiting the equivalence principle between the G-function algorithm and the encryption algorithm, in order to achieve high security. In more details, first, the novel G-function is proposed with the aid of the Government Standard (GOST) algorithm and the Rivest-Shamir-Adleman (RSA) algorithm. Then, two sequence design algorithms are proposed, namely, the G-function assisted sequence generation (GF-SG) algorithm, which takes the full advantages of the symmetric and asymmetric encryption algorithms, and the high order Gfunction aided sequence generation (HGF-SG) algorithm, which is capable of enhancing the correlation of the elements in a DFH sequence. Moreover, the security and ergodicity performance of the proposed algorithms are analyzed. Our studies and results show that the DFH sequences generated by the proposed algorithms significantly outperform the sequences generated by the reversible hash algorithm and affine transformation in terms of the uniformity, randomness, complexity and the security.

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The Evaluation Method of Speech Interference Effect Based on Deep Learning

Wang

2020

2020 7th International Conference on Dependable Systems and Their Applications (DSA)

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Regression forest for interference assessment in real ultra short-wave communication jamming system

Cited by 4 publications

References 6 publications

Assessment of Extreme Communication Environment With Ultralow SNR: A Benchmark

Assessment of Extreme Communication Environment With Ultralow SNR: A Benchmark

High-Security Sequence Design for Differential Frequency Hopping Systems

The Evaluation Method of Speech Interference Effect Based on Deep Learning

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