Signal Detection and Identification in an Optical Camera Communication System in Moving State

Liu, Yuanqin; He, Weisong

doi:10.1088/1742-6596/1873/1/012015

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…At present, for the purpose of implementing accurate identification of communication radiation source signals, generally selected communication signal bispectral features should comply with the features of the time shift without changes, the size without changes, and the phase without changes. In the signal bispectrum analysis, based on compliance with the aforesaid conditions while also needing to maintain high noise immunity, it is widely applied in different industrial fields [ 3 , 4 ]. As the bispectrum analysis process is relatively simple and the workload of operations is relatively small, it can maintain a high level of higher-order spectral analysis features.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model

Chen

Zhu

Guo

et al. 2022

Computational Intelligence and Neuroscience

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In response to the problems in the signal identification of radiation sources during the communication process, the bispectral quadratic feature model is applied to the identification algorithm for communication signals. According to the signal eigenvalues obtained from the bispectrum of the diagonal slices in the radiation source signals, the eigenvalues of the bispectrum diagonal slices can be extended from the frequency domain to the complex plane through the chirp-z operation in this paper, and the relevant data are obtained based on the bispectrum quadratic feature model of the signals by using the separation rules corresponding to the extended Babbitt distance. The bispectral quadratic feature model method is used to establish a sparse observation model, and the communication signal processing problem can be transformed into an estimation problem of signal motion parameters through the construction of a parametric database. At the same time, the high-resolution distance of communication signals is tested, and the communication signals are estimated by using the variational inference method. Finally, practical cases are analyzed, and the results indicate that the algorithm proposed in this paper can be used to identify different types of communication signals in accordance with simulated and measured data in the processing of communication signals in various environments, which has the certain anti-interference capacity to noise, can improve the identification rate of communication signals, and has verified the effectiveness and practicality of the algorithm proposed in this paper.

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Section: Introductionmentioning

confidence: 99%

High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model

Chen

Zhu

Guo

et al. 2022

Computational Intelligence and Neuroscience

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“…Hadamard matrix was chosen in LED detection for recovering the bit from image processing. The authors in [ 130 ] presented a VLC MIMO study by OCC using an adaptive target detection algorithm at the receiver end. The number of LEDs in the transmitter is considered

, and the number of photodiodes in the receiver is 8.…”

Section: Mimo Communication Study Categoriesmentioning

confidence: 99%

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Sejan

Rahman

Aziz

et al. 2023

Sensors

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Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.

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“…At this level, considering IEEE 8-CSK as an example, we calculated the upper bounds of SER for each constellation point using (24) and obtained the overall performance using (25). In addition, compared with the upper bounds, numerical simulations on SER were performed for IEEE 4-, 8-, and 16-CSK by generating a large number of random CSK symbols with interference by noise light with a random color.…”

Section: A Pixel Levelmentioning

confidence: 99%

“…10. Moreover, the overall SER performance was determined using (25) under the equiprobable assumption.…”

Section: ) Upper Bound Of Sermentioning

confidence: 99%

“…Then, the effective color vector P is generated by combining the colors of these pixels in the subset using different combining techniques such as equal gain combination (EGC), MRC, and SC. However, beyond the scope of this paper, more than one target area can be detected simultaneously by image detection, which is useful in multiple-in multiple-out processing, particularly for vehicular VLC systems using a pair of headlights or taillights as the transmitter [25][26] [30]. The image detector model is described in detail in Section IV.…”

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confidence: 99%

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Camera-Based Channel Modeling and Symbol Error Rate Analysis of CSK Modulation for Outdoor OCC Systems

Dong

2022

IEEE Access

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A camera with an image sensor is an important alternative device to a photodiode-based receiver of visible-light communication in outdoor scenarios. The intrinsic color separation capability of a camera qualifies color shift keying (CSK) modulation as an intuitive solution to enhance the achievable data rate. The symbol error rate (SER) of CSK modulation is considerably important to system design and performance evaluation, and has not been extensively investigated for outdoor optical camera communication systems from the viewpoint of camera-based channel and image processing-based demodulation. In this study, a two-level channel model is proposed to characterize CSK transmission in a single pixel and in the entire image. A general framework of SER analysis for arbitrary CSK constellations was proposed by directly calculating the upper bounds from the empirical distribution of the noise light in the CIE 1931 color space. Through numerical simulations, the influence of the image detector on CSK demodulation was evaluated. The results indicated that an accurate target region is important for maintaining the SER, and an enlarged target region is beneficial when the maximum ratio combination and selective combination algorithms are used in pixel combination.

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Signal Detection and Identification in an Optical Camera Communication System in Moving State

Cited by 7 publications

References 3 publications

High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model

High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Camera-Based Channel Modeling and Symbol Error Rate Analysis of CSK Modulation for Outdoor OCC Systems

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