High-resolution and anti-jamming chaotic guided radar prototype for perimeter intrusion detection

Qiao, Jianmin; Xu, Hang; Jian-guo, Zhang; Wang, Bingjie

doi:10.1080/09205071.2019.1590247

Cited by 5 publications

(8 citation statements)

References 6 publications

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“…It means that the chaos should be generated consistently for a wide range of parameter values. In the ongoing literature, the reported autonomous Boolean networks only show chaos in certain ranges of the feedback delays [10,30,31,[35][36][37][38][39], as was discussed in the Introduction section. At the experimental level, those approaches incorporate an even number of logic NOT gates in the link to act as a time-delay buffer to add extra signal propagation times.…”

Section: Boolean Chaos Robust To Different Incommensurate Time-delaysmentioning

confidence: 91%

“…Such interest relies mainly on its extreme sensitivity to the initial conditions. From a real-world application point of view, the random-like patterns generated by chaotic oscillators are currently pointed out as the core for obtaining significant engineering applications, for instance, secure-communications schemes [1][2][3][4][5][6][7]; radars [8][9][10]; sonars [11,12]; liquid mixing [13,14]; adaptive logic gates [15,16]; true random number generators (TRNGs) [17,18]; collective phenomena in physics and biology [19,20]; navigation and control of autonomous mobile robots [21][22][23]; Internet of Things [24][25][26][27][28][29]; and so forth. Thereupon, the cutting edge chaos-based applications may need reliable, robust, compact, and faster chaos oscillators.…”

Section: Introductionmentioning

confidence: 99%

“…In the context of ABNs, deterministic chaos, also known as Boolean chaos, was initially demonstrated by using Boolean functions implemented with electronic logic circuits (logic gates and field-programmable gate arrays FPGAs) [10,[35][36][37][38]. At circuit level, the basic principle for obtaining Boolean chaos depends on three main characteristics; the asymmetry between the logic states, the short-pulse rejection phenomenon, and, most importantly, the degradation effect [30,31].…”

Section: Introductionmentioning

confidence: 99%

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Two New Asymmetric Boolean Chaos Oscillators with No Dependence on Incommensurate Time-Delays and Their Circuit Implementation

et al. 2020

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This manuscript introduces two new chaotic oscillators based on autonomous Boolean networks (ABN), preserving asymmetrical logic functions. That means that the ABNs require a combination of XOR-XNOR logic functions. We demonstrate analytically that the two ABNs do not have fixed points, and therefore, can evolve to Boolean chaos. Using the Lyapunov exponent’s method, we also prove the chaotic behavior, generated by the proposed chaotic oscillators, is insensitive to incommensurate time-delays paths. As a result, they can be implemented using distinct electronic circuits. More specifically, logic-gates–, GAL–, and FPGA–based implementations verify the theoretical findings. An integrated circuit using a CMOS 180nm fabrication technology is also presented to get a compact chaos oscillator with relatively high-frequency. Dynamical behaviors of those implementations are analyzed using time-series, time-lag embedded attractors, frequency spectra, Poincaré maps, and Lyapunov exponents.

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Section: Boolean Chaos Robust To Different Incommensurate Time-delaysmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Two New Asymmetric Boolean Chaos Oscillators with No Dependence on Incommensurate Time-Delays and Their Circuit Implementation

et al. 2020

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“…Compared with conventional monopole antennas, LCX can detect the location of the terminal in its wireless coverage area. Researches in [18]- [25] show several methods of position detection for LCX systems such as pulse signal technique and the method based on time of arrival (TOA). Reference [18] proposed a method for 1-D position detection with the TOA of the direct wave and the reflected wave from the end of LCX.…”

Section: Introductionmentioning

confidence: 99%

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

et al. 2021

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Leaky coaxial (LCX) cable has been employed as antennas for wireless traffic over many linear-cell scenarios such as railway station, tunnels and shopping malls. In addition, LCX can be used for user localization and wireless power transfer (WPT). Compared with the equal power allocation method, the power allocation method for LCX system using positional information (PI) can improve its capacity with the same level of computational complexity. In this paper, we will investigate the level of capacity loss on the 2.4 GHz and 5 GHz band for the conventional equal power (EP) allocation method, the water-filling (WF) based power allocation, and our proposed low-complexity power allocation method for LCX system with PI. The results show that LCX system with our proposed method using PI can reduce the capacity loss due to localization error than that of others.

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“…From that, a method based on TDoA using the time difference between the signal arrival at different ends of the LCX to detect the user location has been proposed in [26,27]. Other positioning methods such as designed pulse signal method are studied in [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

A study for 2-D indoor localization using multiple leaky coaxial cables

Zhu

Hou

et al. 2020

SIP

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Indoor localization technology, which can provide the location information of the target object or stochastic things, is becoming essential requirement for many applications and services such as Internet-of-Things (IoT), real-time control in the development of Fifth-generation (5G) technology. Leaky coaxial cable which can be used as antennas is able to detect the location of the user in a simple way due to its potential property. In this paper, we proposes a simple method to improve the localization accuracy of 2-D indoor localization using multiple LCX cables. In addition, we also evaluate the channel capacity loss due to the localization error of the LCX-MIMO using our proposed method.

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High-resolution and anti-jamming chaotic guided radar prototype for perimeter intrusion detection

Cited by 5 publications

References 6 publications

Two New Asymmetric Boolean Chaos Oscillators with No Dependence on Incommensurate Time-Delays and Their Circuit Implementation

Two New Asymmetric Boolean Chaos Oscillators with No Dependence on Incommensurate Time-Delays and Their Circuit Implementation

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

A study for 2-D indoor localization using multiple leaky coaxial cables

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