Adaptive Beam Former Design Using RLS Algorithm for Smart Antenna System

Zalawadia, Khyati R.; Doshi, Twinkle V.; Dalal, Upena D.

doi:10.1109/cicn.2011.20

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Smart antenna has two objective DOA (direction of arrival estimation) and beamforming [1]. The process of adding the sensors signal and then update the radiation pattern in a desired called as digital beamforming [2][3][4]. Most advanced type of smart antenna is "adaptive beamforming".…”

Section: Smart Antennamentioning

confidence: 99%

HW-CMA and HW-LS-CMA Blind Learning Method for Intelligent Antenna System

Pandhare

Zalawadia

2021

Advances in Intelligent Systems and Computing

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The trend in the conception of future satellite system and modern communication systems are undoubtedly in the direction of the use of digital beamformer. These systems will include many digital links. These beamformer needs to control their weights adaptively for build intelligent systems. For controlling these weights, various blind and nonblind algorithm apply as per applications. Blind learning process is based on constant modulus algorithm (CMA) and least square CMA (LS-CMA) analyses. Also, to improve converge area and side lob level reduction, modified Hamming window-based algorithm to constant modulus algorithm and least square simulate using MATLAB. These algorithms are validated for linear, circular and planar antenna array geometry.

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Section: Smart Antennamentioning

confidence: 99%

HW-CMA and HW-LS-CMA Blind Learning Method for Intelligent Antenna System

Pandhare

Zalawadia

2021

Advances in Intelligent Systems and Computing

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“…Additionally, the proposed linear arrays should be equipped with beam-forming capabilities in order to be compliant with the IEEE802.15.3c protocol for indoor use in 60GHz as described in [9]. There are several beam-forming algorithms presented in literature such as the Constant Modulus Algorithm (CMA) [10], the Recursive Least Square (RLS) [11] and the Least Mean Square algorithm (LMS) [12]. These algorithms are based on an iterative process where Figure 10: Optical beam-forming setup a weight equation is updated to produce an optimal radiation pattern according to the specified criteria.…”

Section: Potential Linear Array Optical Beam-forming Applicationsmentioning

confidence: 99%

Novel 60 GHz CPW array antennas with beam-forming features for indoor wireless over fiber networks

et al. 2013

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In this study two types of coplanar waveguide (CPW) array antennas are designed and analyzed for use in a 60GHz Radio over Fiber indoor network. The first one is based on high permittivity Rogers 6010 and Indium Phosphide (InP) substrates incorporating slots as radiating elements. The second one utilizes stacked geometry based on the above substrates. Both arrays present more 1 GHz bandwidth and 10dBi gain. Furthermore they can provide beam-forming operation by properly adjusting the signal's amplitude and phase. A Least Mean Square (LMS) algorithm is generated for this purpose and the radiation pattern is steered accordingly. At last, a photodiode is simulated using equivalent circuit and is adopted with the proposed arrays, and an optical beam forming scenario is discussed.

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Design of iRLS Algorithm With/Without Pre-Filter for Antenna Beam Forming Technique

Hirikude

Patil²

2021

Wireless Pers Commun

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Adaptive Beam Former Design Using RLS Algorithm for Smart Antenna System

Cited by 5 publications

References 7 publications

HW-CMA and HW-LS-CMA Blind Learning Method for Intelligent Antenna System

HW-CMA and HW-LS-CMA Blind Learning Method for Intelligent Antenna System

Novel 60 GHz CPW array antennas with beam-forming features for indoor wireless over fiber networks

Design of iRLS Algorithm With/Without Pre-Filter for Antenna Beam Forming Technique

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