Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer

Bagadi, Kala Praveen; Cv, Ravikumar; Sathish, K.; Alibakhshikenari, Mohammad; Virdee, Bal S.; Kouhalvandi, Lida; Olan-Nuñez, Karen N.; Pau, Giovanni; See, Chan Hwang; Dayoub, Iyad; Livreri, Patrizia; Aı̈ssa, Sonia; Falcone, Francisco; Limiti, Ernesto

doi:10.1109/access.2022.3211392

Cited by 17 publications

(11 citation statements)

References 30 publications

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“…The primary control is linked to the sensor via a sensor interface circuitry [11]. The CPU or control collects the sensor's data, stores them in memory, analyzes them, and then The main contribution of the manuscript is highlighted as follows: Firstly, the review of a UWSN system, including sensing capabilities, wireless conveyance of information to a distantly situated station on the ground, a visualization of measured data, and an alert system in the event of anomalies, was analyzed.…”

Section: Underwater Sensor's Internal Structurementioning

confidence: 99%

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Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Sathish

Venkata

Anbazhagan

et al. 2023

Telecom

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Oceanographic data collection, disaster prevention, aided navigation, critical observation sub-missions, contaminant screening, and seaward scanning are just a few of the submissions that use underwater sensor hubs. Unmanned submerged vehicles (USVs) or autonomous acoustic underwater vehicles (AUVs) through sensors would similarly be able to explore unique underwater resources and gather data when utilized in conjunction with integrated screen operations. The most advanced technological method of oceanic observation is wireless information routing beneath the ocean or generally underwater. Water bottoms are typically observed using oceanographic sensors that collect data at certain ocean zones. Most research on UWSNs focuses on physical levels, even though the localization level, such as guiding processes, is a more recent zone. Analyzing the presenting metrics of the current direction conventions for UWSNs is crucial for considering additional enhancements in a procedure employing underwater wireless sensor networks for locating sensors (UWSNs). Due to their severely constrained propagation, radio frequency (RF) transmissions are inappropriate for underwater environments. This makes it difficult to maintain network connectivity and localization. This provided a plan for employing adequate reliability and improved communication and is used to locate the node exactly using a variety of methods. In order to minimize inaccuracies, specific techniques are utilized to calculate the distance to the destination. It has a variety of qualities, such as limited bandwidth, high latency, low energy, and a high error probability. Both nodes enable technical professionals stationed on land to communicate data from the chosen oceanic zones rapidly. This study investigates the significance, uses, network architecture, requirements, and difficulties of undersea sensors.

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Section: Underwater Sensor's Internal Structurementioning

confidence: 99%

“…The primary control is linked to the sensor via a sensor interface circuitry [11]. The CPU or control collects the sensor's data, stores them in memory, analyzes them, and then sends them via an acoustic modem to other sensors is shown in the Figure 3.…”

Section: Underwater Sensor's Internal Structurementioning

confidence: 99%

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Sathish

Venkata

Anbazhagan

et al. 2023

Telecom

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“…Percentage of utilisation: Te proportion of packets that are successfully transferred from the transmitting node to the receiving node is known as the throughput of a communication channel [39].…”

Section: Performance Parametersmentioning

confidence: 99%

Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach

Sathish

Ravikumar

Srinivasulu

et al. 2022

Journal of Computer Networks and Communications

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The planet Earth is the most water-rich place because oceans cover more than 75% of its land area. Because of the extraordinary activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while also monitoring and recording the physical and environmental parameters of their surroundings. An underwater wireless sensor network (UWSN) is the name given to the network created by the collection of these underwater wireless sensors. This particular technology is the most efficient way to analyse performance parameters. A network path is chosen to send traffic by using the routing method, a process that is also known as a protocol. The routing protocols ad-hoc on-demand distance vector (AODV), dynamic source routing (DSR), dynamic manet on demand routing protocol (DYMO), location-aided routing 1 (LAR 1), optimized link state routing (OLSR), source-tree adaptive routing optimum routing approach (STAR-ORA), zone routing protocol (ZRP), and STAR-least overhead routing approach (STAR-LORA) are a few models of routing techniques. By changing the number of nodes in the model and the maximum speed of each node, performance parameters such as average transmission delay, average jitter, percentage of utilisation, and power used in transmit and receive modes are explored. The results obtained using QualNet 7.1 simulator suggest the suitability of routing protocols in the UWSN.

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“…Te main drawback of classical GM and PM from the Bode plot is that they do not provide the minimum phase and gain margins to analyze plant stability. Tis article introduces a novel approach to study the AVR loop stability called disk-based stability margin analysis [23][24][25]. Te disk-based stability approach gives a stronger assurance of system stability over the classical margin analysis.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Behavior and Stability Analysis of Automatic Voltage Regulator with Parameter Uncertainty

Gopi¹,

Varma

Kalyan³

et al. 2023

International Transactions on Electrical Energy Systems

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This research article describes a novel optimization technique called simulink design optimization (SDO) to compute the optimal PID coefficients for an automatic voltage regulator (AVR). The time-domain performance of the proposed controller was analyzed using MATLAB/Simulation, and its performance was compared with that of water cycle algorithm, genetic algorithm, and local unimodal sampling algorithm-based PID controllers. The robustness of the proposed controller was verified by applying the disturbances to the generator field voltage and the amplifier parameter uncertainty. The studies presented in literature were discussed the AVR loop stability using the Bode plot which will not give the minimum stability margins. This study proposes a novel stability analysis called disk-based stability analysis to authenticate the stability of the AVR loop which is obtained by the classical analysis. This stability was compared with the proposed stability analysis. The MATLAB results reveal that the SDO-PID controller regulates the terminal voltage of the generator precisely, is more robust to parameter uncertainty, and is more stable than the other controllers. The maximum allowable parameter uncertainty of the amplifier model was identified as 102% of its nominal parameters. The stability margins are recognized as DGM = 10.40 dB and DPM = 56.50° for the AVR stability.

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Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer

Cited by 17 publications

References 30 publications

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach

Dynamic Behavior and Stability Analysis of Automatic Voltage Regulator with Parameter Uncertainty

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