Hybrid method for enhanced detection of coherent signals using circular antenna arrays

AlHajri, Mohamed I.; Shubair, Raed M.; Weruaga, Luis; Kulaib, A. R.; Goian, A.; Darweesh, Muna; AlMemari, R.

doi:10.1109/aps.2015.7305294

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…The independence, in these measurements, allows creating an estimator with a better performance. On other contrary, there is high complexity in terms of time and computation [29,40,41,53,96].…”

Section: Hybrid Techniquesmentioning

confidence: 99%

Accurate and Robust Localization Techniques for Wireless Sensor Networks

AlHajri,

Goian,

Darweesh

et al. 2018

Preprint

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The concept of wireless sensor network revolves around a group of sensor nodes that utilize the radio signals in order to communicate among each other. These nodes are typically made, of sensors, a memory, a multi-controller, a transceiver, and a power source to supply the energy to these components. There are many factors that restrict the design of wireless sensor network such as the size, cost, and functionality. The field of wireless sensor network, witnessed a remarkable revolution special after the environmental awakening in the last two decades. Its importance emanates from its capability to monitor physical and environmental conditions (such as sound, temperature, and pressure) with minimal power consumption. The principle of passing data cooperatively though a network to a main location played a vital role in the success of the methodology of WSN.This report explores the concept of wireless sensor network and how it is been made viable through the convergence of wireless communications and micro-electro-mechanical systems (MEMS) technology together digital electronics. The report addresses some of the factors that have to be considered when choosing the localization algorithm. It is very important to choose properly since the localization process may involves intensive computational load, based on many different criteria, as well as analysis method. The report also views the advantages and disadvantages of localization techniques. Nevertheless, it investigates the challenges associated with the Wireless Sensor Networks. The report categorizes the algorithms, depending on where the computational effort is carried out, into centralized and distributed algorithms. With minimal computational complexity and signaling overhead, the project aims to develop algorithms that can accurately localize sensor nodes in real-time with low computational requirements, and robustly adapt to channel and network dynamics. The report focuses on three areas in particular: the first is the Received Signal Strength indicator technique, Direction of Arrival technique, and the integration of two algorithms, RSS and DOA, in order to build a hybrid, more robust algorithms.In the Received Signal Strength (RSS), the unknown node location is estimated using trilateration. This report examines the performance of different estimators such as Least Square, Weighted Least Square, and Huber robustness in order to obtain the most robust performance. In the direction of arrival (DOA) method, the estimation is carried out using Multiple Signal Classification (MUSIC), Root-MUSIC, and Estimation of Signal Parameters Via Rotational Invariance Technique (ESPRIT) algorithms. We investigate multiple signal scenarios utilizing various antenna geometries, which includes uniform linear array (ULA) and uniform circular array (UCA). Specific attention is given for multipath scenarios in which signals become spatially correlated (or coherent). This required the use of pre-processing techniques, which include phase mode excitation (PME), spatial smoothing ...

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Section: Hybrid Techniquesmentioning

confidence: 99%

Accurate and Robust Localization Techniques for Wireless Sensor Networks

AlHajri,

Goian,

Darweesh

et al. 2018

Preprint

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“…New services that might be provided by a sixth generation system include (i) massive interfaces between human-machine infrastructure [39][40][41][42][43], (ii) ubiquitous computing between local devices and cloud computing [44][45][46][47][48][49], (iii) multi-data fusion to create multi-verse maps along with mixed realities [50][51][52][53][54], and (iv) sensing and control accuracy [55][56][57][58][59][60]. To meet the 6G aim and overcome the limitations of 5G, B5G wireless networks must be constructed with unique and appealing features [61][62][63].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Uplink SINR of an IRS-Aided 6G Network

Mahbub,

Shubair

2024

Preprint

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The investigation's principal purpose is to expand coverage, i.e., enable superior transmission, by utilizing IRS inside micro cellular transmission across a two-tier 6G infrastructure constituted by one micro cellular tier running within a macro cell-based tier. As a consequence, the paper investigated and contrasted the performance of regular micro cellular connectivity to IRS-enhanced micro cellular networking in terms of upstream received power utilizing simulation-based measuring approaches. According to the research, implementing IRS enhances coverage, i.e., transmission effectiveness, for 6G services significantly.

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“…The last three decades have witnessed an exponential growth and tremendous developments in wireless technologies and techniques, and their associated applications. These include indoor localization techniques and related aspects [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], terahertz communications and signal processing applications [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], and antenna design and propagation characteristics .…”

Section: Introductionmentioning

confidence: 99%