Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks

Zhang, Shuang; Liu, Feng; Huang, Yuang; Meng, Xuedong

doi:10.3390/s21072538

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…LoRa communication technology is a long-range wireless communication technology that uses a direct-sequence spread spectrum [13] and it has started to flourish in recent years. It possesses strong antiinterference and high reception sensitivity [14]. It is an ideal technology for long-range, low-power, large-scale network communication.…”

Section: Introductionmentioning

confidence: 99%

Research on an Online Monitoring System for Efficient and Accurate Monitoring of Mine Water

et al. 2022

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Our goal is to solve the complexity of laying down wiring for traditional monitoring systems for mine water, while taking into account the poor timeliness of sampling and continuous monitoring, based on the processing and reuse of mine water. In this article, we focus on the theory of multi-sensor networks to estimate mine water quality, quantity monitoring equipment, and mine water Internet of Things (hereafter denoted "IoT") communication systems. We designed a mine water IoT monitoring system for the wireless monitoring of water quantity and quality, developed an experimental platform for the wireless monitoring of mine water. This platform has the advantages of simple wiring and strong expandability. Finally, we tested and analyzed the system operation effects. To solve the problem of partial data abnormalities caused by problems of sensing equipment, we propose a data abnormality detection method based on an isolated forest that combines the characteristics of the sufficient timeliness of mine water monitoring data, and we offer experimental verification and analysis. The experimental results show that the system can realize the real-time wireless monitoring of mine water quality and quantity information with stable and fast data transmission capability. Furthermore, the system can quickly discover, analyze, and process abnormal data, has sufficient timeliness while guaranteeing the validity of the data output from the monitoring platform.

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Section: Introductionmentioning

confidence: 99%

Research on an Online Monitoring System for Efficient and Accurate Monitoring of Mine Water

et al. 2022

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“…The second category is the numerical parameter‐based compressive signal detection method. The most representative method is the compressive signal detection method that was proposed by Davenport [9, 10]. The method extracts statistics from a small number of random projections without reconstructing signals.…”

Section: Introductionmentioning

confidence: 99%

Compressive narrowband interference detection and parameter estimation in direct sequence spread spectrum communication

Shi

Zhang

Qian

et al. 2021

IET Signal Processing

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The Shannon-Nyquist sampling theorem that is based on narrowband interference (NBI) detection and parameter estimation methods in direct sequence spread spectrum (DSSS) communication is limited by the high sampling rate. Compressive sensing (CS) is adopted to address the problem. But it will change the signal nature, which leads to the unavailability of Shannon-Nyquist sampling theorem-based interference detection and parameter estimation methods. According to the different posterior probability distribution features of NBI, DSSS signal, and noise in compressed domain, a posterior probability model of whether NBI exists in the received signal is constructed by using the compressed measurements. The posterior probability that whether NBI exists in the received signal is employed as the feature parameters of NBI detection and parameter estimation. With the feature parameters detected, NBI detection can be achieved and the edge location of NBI components can be located. The relationship between the edge location of NBI components and the edge frequency of NBI is constructed, which will contribute to estimate the NBI edge frequency. The numerical simulation results demonstrate that the proposed method can effectively achieve NBI detection and parameter estimation in the compressed domain and it performs significantly better than the other existing methods.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks

Cited by 2 publications

References 33 publications

Research on an Online Monitoring System for Efficient and Accurate Monitoring of Mine Water

Research on an Online Monitoring System for Efficient and Accurate Monitoring of Mine Water

Compressive narrowband interference detection and parameter estimation in direct sequence spread spectrum communication

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