Beam Forming in Smart Antenna with Precise Direction of Arrival Estimation Using Improved MUSIC

Basha, T. S. Ghouse; Sridevi, P. V.; Prasad, M. N. Giri

doi:10.1007/s11277-012-0879-9

Cited by 15 publications

(18 citation statements)

References 7 publications

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“…As higher the signal impairments in wireless communication occur, the smarter antenna solutions are needed [1,16,17]. Spectral/user density enhancement can be achieved through the technology of smart antenna [5,8].…”

Section: Introductionmentioning

confidence: 99%

“…In the Industrial Scientific and Medical (ISM) band frequencies of 2.4 GHz, applied tapered beam antennas are be able to deliver 9 dB of gain, and decrease interference to additional communication bustle off the sidelobes of the antenna beam patterns [1,3,8]. With the purpose of improving the performance of smart antenna process, effective design of beam formation pattern is vital depending on the subjected antenna considerations [16,[20][21][22][23][24][25][26][27]. They offer an extensive range of methods to increase wireless system performance [28].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Features and Futures of Smart Antennas for Wireless Communications: A Technical Review

Oluwole¹,

Srivastava²

2018

JESTR

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Smart antenna is one of the most proficient and dominant technological innovations for maximizing capacity, improve quality, and coverage in wireless communications system. This work presents relevant comprehensive technical review of research work, unanswered questions, and untried methods on smart antennas technology for wireless communication systems. This also examines most of the significant improvements in the field of smart antennas technologies and the related fields in wireless communication systems. An evaluation of the analytical techniques for the theoretical analysis of adaptive beamforming algorithm, level of the system performance optimization approaches has been highlighted. Performance realistic evaluation and implementation cogent parameters areas for the deployment of smart antennas on the performance system in wireless communication systems have been also examined.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Features and Futures of Smart Antennas for Wireless Communications: A Technical Review

Oluwole¹,

Srivastava²

2018

JESTR

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“…Then using beamforming algorithm, antenna beam is generated toward the desired direction and null is generated toward the direction of interferer. There are various types of algorithms for beamforming, having their advantages and disadvantages [3][4][5][6][7][8]. In addition to various methods of DoA estimations, many iterative schemes applicable to adaptive beamforming have been described in [3].…”

Section: Introductionmentioning

confidence: 99%

“…A sequential quadratic programming based algorithm is used for multi-lobe pattern and for adaptive nulling of the pattern in [5]. A beamforming technique, for precise DoA estimation, based on hybridization of soft-computing methods is reported in [7]. Recently, a complex quaternion LMS algorithm is used [8] for beamforming of polarization-sensitive electromagnetic vectorsensor.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Adaptive Beamforming Techniques in Smart Antenna Using LMS Algorithm and Its Variants

Senapati

Ghatak

Roy

2015

2015 International Conference on Computational Intelligence and Networks

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This paper presents a comparative study of beamforming techniques using least mean square (LMS) algorithm and its variants, like, normalized least mean square (NLMS) algorithm and sign least mean square (SLMS) algorithm. The accuracy of beam generation toward the direction of arrival (DoA) and null generation toward the interferer, depends on the value of step size parameter used in the algorithm. Beamwidth and side lobe levels (SLL) are also compared for these three algorithms.

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“…Studies regarding smart antenna modeling, adaptive beam forming, and DOA estimation are based on the neural network solution [7][8][9][10][11][12][13][14]. Access control mechanism in femtocell is an application of MAC layer.…”

Section: Introductionmentioning

confidence: 99%

Cognitive closed access femtocell application using multi-element antenna

Islam

Ahmed

Singh

et al. 2015

J Wireless Com Network

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In this paper, a cognitive closed access multi-element antenna-specific femtocell protocol is presented. Femtocell is considered as the preeminent solution for indoor coverage in long-term evaluation (LTE) and LTE-advanced networks. The protocol is verified using a patch antenna for LTE network. In a vast deployment of this mini base station, unwanted handover event is considered as the major obstacle. Access control mechanism with coverage-optimized antenna pattern is one of the most promising solution to resolve this obstacle. A previously proposed microstrip four-element femtocell configuration is used to analyze the performance in user categorizing technique for closed access femtocell network. The categorization is performed using multi-layer feed forward network in neural network.The performance of the technique shows an inherent relationship between completeness of training data and error percentage. Sufficiently low error rates can be achieved by presenting about 15 training samples.

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Beam Forming in Smart Antenna with Precise Direction of Arrival Estimation Using Improved MUSIC

Cited by 15 publications

References 7 publications

Features and Futures of Smart Antennas for Wireless Communications: A Technical Review

Features and Futures of Smart Antennas for Wireless Communications: A Technical Review

A Comparative Study of Adaptive Beamforming Techniques in Smart Antenna Using LMS Algorithm and Its Variants

Cognitive closed access femtocell application using multi-element antenna

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