Correlation Property and Low Bound of Time-Hopping Codes for UWB Communications

Liu, Gang; Xuan, Gui Xin; Zhang, Xia

doi:10.4028/www.scientific.net/amm.743.545

AMM

2015

DOI: 10.4028/www.scientific.net/amm.743.545

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Correlation Property and Low Bound of Time-Hopping Codes for UWB Communications

Gang Liu¹,

Gui Xin Xuan²,

Xia Zhang³

Abstract: In this paper, we analyze correlation property of time-hopping (TH) codes for time-hopping spread spectrum ultra wideband (THSS-UWB) communication systems. Several different definitions of TH periodic correlation function are compared and discussed. Based on the comparison, the relation between TH codes and frequency-hopping (FH) codes is obtained. Also, the averages of TH periodic correlation function values are investigated, and the relations between averages and four parameters of TH codes are introduced. B… Show more

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Cited by 2 publications

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“…In [3], Gao and Chang presented a new upper bound for (m, k, 1)impulse radio sequence (IRS), which based on the knowledge of the relationship between IRSs and optical orthogonal codes (or cyclic packings). In [8], Liu, Xuan and Zhang analyzed the relation between THSs and frequency-hopping sequences (FHSs), and gave a low bound of THSs relates sequence period, the number of time slots, THSs family size and maximal correlation function values. In [16], Singh and Jassal investigated the similarity between correlation properties of FHSs and THSs, the lower bounds of THSs have been derived, which are higher than those for FHSs.…”

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New classes of nearly optimal time-hopping sequence sets for UWB systems

Li¹,

Zheng²,

Fan³

2024

AMC

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In time-hopping multiple access ultra wide band (THMA-UWB) systems, time-hopping sequences (THSs) are crucial in determining the system's anti-jamming performance. We discuss the property of periodic cross correlation of THSs, which can be used to analytically evaluate the properties of THSs in codeword synchronism and codeword asynchronism but chip synchronism. Then we also construct several classes of nearly optimal or optimal THS sets with respect to the lower bound on the maximal cross correlation, which have longer sequence periods and more flexible family sizes than known ones. These THS sets may be more applicable for UWB systems. In particular, some proposed THSs are nearly optimal with respect to the Johnson bound on the maximal possible number of THSs. Introduction.With the development of wireless communication technology, a variety of wireless communication systems have emerged, making available spectrum resources increasingly saturated. However, people's demands for wireless communication systems continue to grow, and it is expected to provide higher data transmission rate, lower cost and lower power consumption. In this context, the ultra wide band (UWB) technology [19], a wireless technology that transmits data at a high speed in a short distance with very low power, has attracted the attention of scholars, and has become a hot topic in the research and development of wireless communication field. It is also regarded as one of the key technologies of the next generation wireless communication, and is widely used in high-speed, short-range wireless communication systems, such as wireless local area networks, intelligent transportation, radar imaging and biological recognition.The design of time-hopping sequences (THSs) is the key technology in timehopping multiple access ultra wide band (THMA-UWB) system [13]. It is necessary to find THSs with good correlation performance to minimize the collision of time slots, so as to achieve multiple access networking communication. In fact, the number of THSs determines the number of users that the system can accommodate, and

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confidence: 99%

New classes of nearly optimal time-hopping sequence sets for UWB systems

Li¹,

Zheng²,

Fan³

2024

AMC

View full text Add to dashboard Cite

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Classification of the Type of Harmonic Source Based on Image-Matrix Transformation and Deep Convolutional Neural Network

Mei

Sha

2019

IEEE Access

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The classification of harmonic source types is a necessary step to alleviate harmonic pollution. This study proposes a method for the harmonic source classification based on 2-D image-matrix transformation (IMT) and deep convolutional neural network (CNN). The method firstly converts the V-I waveforms of different harmonic source types into a matrix by IMT, which was then applied to express the V-I waveform of each harmonic source as an input CNN model. Thereafter, features were extracted automatically from the harmonic source IMT matrix by the CNN model. Finally, favorable results are achieved after identifying the type of harmonic source via a classifier. In case study, a number of verifications were performed on the proposed method. Moreover, compared with existing harmonic source classification methods, the proposed strategy in this study not only avoids extracting features through expert knowledge, but also reduces the amount of data required for the harmonic source classification, and achieves higher accuracy than other methods. INDEX TERMS IMT, CNN, type of harmonic source, classification.

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Correlation Property and Low Bound of Time-Hopping Codes for UWB Communications

Cited by 2 publications

References 19 publications

New classes of nearly optimal time-hopping sequence sets for UWB systems

New classes of nearly optimal time-hopping sequence sets for UWB systems

Classification of the Type of Harmonic Source Based on Image-Matrix Transformation and Deep Convolutional Neural Network

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