Compressive sensing based direction-of-arrival estimation using reweighted greedy block coordinate descent algorithm for ESPAR antennas

Yazdani, Hassan; Vosoughi, Azadeh; Rahnavard, Nazanin

doi:10.1109/milcom.2017.8170862

Cited by 10 publications

(8 citation statements)

References 16 publications

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“…The ESPAR antenna is a circular array, comprised of one active element and M parasitic elements symmetrically surrounding the active element, and the radius of the array is r < λ c /2, where λ c is the carrier wavelength [11]. Fig.…”

Section: A Background On Espar Antennasmentioning

confidence: 99%

“…ESPAR divides the angular domain into several sectors (beams) and switches between beampatterns of sectors in a time-division fashion (only one of M beams is active at a time). The ESPAR antenna relies on a single RF front end (an active element) coupled to several passive or parasitic elements (mutually coupled to the active one) to steer beams in prescribed directions [11], [12]. The active element is connected to the transmitter/receiver circuit and the parasitic elements are reactively loaded.…”

Section: Introduction a Overview And Backgroundmentioning

confidence: 99%

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Beam Selection and Discrete Power Allocation in Opportunistic Cognitive Radio Systems With Limited Feedback Using ESPAR Antennas

Yazdani

Vosoughi

Gong

2020

IEEE Trans. Cogn. Commun. Netw.

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We consider an opportunistic cognitive radio (CR) system consisting of a primary user (PU), secondary transmitter (SUtx), and secondary receiver (SUrx), where SUtx is equipped with an electrically steerable parasitic array radiator (ESPAR) antenna with beam steering capability for sensing and communication, and there is a limited feedback channel from SUrx to SUtx. Taking a holistic approach, we develop a framework for integrated sector-based spectrum sensing and sector-based data communication. Upon sensing the channel busy, SUtx determines the beam corresponding to PU's orientation. Upon sensing the channel idle, SUtx transmits data to SUrx, using the selected beam corresponding to the strongest channel between SUtx and SUrx. We formulate a constrained optimization problem, where SUtx-SUrx link ergodic capacity is maximized, subject to average transmit power and interference constraints, and the optimization variables are sensing duration, thresholds of channel quantizer at SUrx, and transmit power levels at SUtx. Since this problem is non-convex we develop a suboptimal computationally efficient iterative algorithm to find the solution. Our numerical results quantify the capacity improvement provided by the ESPAR antenna and demonstrate that our CR system yields lower outage and symbol error probabilities, compared with a CR system that its SUtx has an omni-directional antenna.Index Terms-Beam selection, cognitive radio, constrained ergodic capacity maximization, discrete power allocation, ESPAR antenna, imperfect channel sensing, error-free bandwidth limited feedback channel, reconfigurable antennas.

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Section: A Background On Espar Antennasmentioning

confidence: 99%

Section: Introduction a Overview And Backgroundmentioning

confidence: 99%

Beam Selection and Discrete Power Allocation in Opportunistic Cognitive Radio Systems With Limited Feedback Using ESPAR Antennas

Yazdani

Vosoughi

Gong

2020

IEEE Trans. Cogn. Commun. Netw.

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“…The boresight of SU tx and SU rx antennas in their local coordination are denoted by φ t and φ r , respectively. We assume θ p , θ and θ ′ p are known or can be estimated [14]. The antenna gain is given by A…”

Section: System Modelmentioning

confidence: 99%

On the combined effect of directional antennas and imperfect spectrum sensing upon ergodic capacity of cognitive radio systems

Yazdani

Vosoughi

2017

2017 51st Asilomar Conference on Signals, Systems, and Computers

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We consider a cognitive radio system, consisting of a primary transmitter (PUtx), a primary receiver (PUrx), a secondary transmitter (SUtx), and a secondary receiver (SUrx). The secondary users (SUs) are equipped with steerable directional antennas. We assume the SUs and primary users (PUs) coexist and the SUtx knows the geometry of network. We find the ergodic capacity of the channel between SUtx and SUrx, and study how spectrum sensing errors affect the capacity. In our system, the SUtx first senses the spectrum and then transmits data at two power levels, according to the result of sensing. The optimal SUtx transmit power levels and the optimal directions of SUtx transmit antenna and SUrx receive antenna are obtained by maximizing the ergodic capacity, subject to average transmit power and average interference power constraints. To study the effect of fading channel, we considered three scenarios: 1) when SUtx knows fading channels between SUtx and PUrx, PUtx and SUrx, SUtx and SUrx, 2) when SUtx knows only the channel between SUtx and SUrx, and statistics of the other two channels, and, 3) when SUtx only knows the statistics of these three fading channels. For each scenario, we explore the optimal SUtx transmit power levels and the optimal directions of SUtx and SUrx antennas, such that the ergodic capacity is maximized, while the power constraints are satisfied.

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“…The authors of [6] build on compact antenna structures with fast beamforming capabilities and, by combining them with a simple training procedure, enhance the average throughput of a multiuser system. The authors of [7] consider (DoA) estimation problem using electronically steerable parasitic array radiator (ESPAR) antenna based on compressive sensing. The authors of [8] propose a conformal circular beam-steering array with omnidirectional coverage and unidirectional beam.…”

Section: Introductionmentioning

confidence: 99%

Clustering-based Adaptive Beam Footprint Design for 5G Urban Macro-Cell

Honnaiah

Lagunas

Maturo

et al. 2021

2021 IEEE 4th 5G World Forum (5GWF)

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Compressive sensing based direction-of-arrival estimation using reweighted greedy block coordinate descent algorithm for ESPAR antennas

Cited by 10 publications

References 16 publications

Beam Selection and Discrete Power Allocation in Opportunistic Cognitive Radio Systems With Limited Feedback Using ESPAR Antennas

Beam Selection and Discrete Power Allocation in Opportunistic Cognitive Radio Systems With Limited Feedback Using ESPAR Antennas

On the combined effect of directional antennas and imperfect spectrum sensing upon ergodic capacity of cognitive radio systems

Clustering-based Adaptive Beam Footprint Design for 5G Urban Macro-Cell

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