Smart Antenna System for DOA Estimation using Single Snapshot

Dakulagi, Veerendra; Bakhar, Mohammed

doi:10.1007/s11277-019-06241-0

Cited by 13 publications

(4 citation statements)

References 12 publications

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“…This algorithm has better performance as compared to standard LMS algorithm in terms of convergence speed. In most of the above methods [21][22][23][24][25][26][27], less importance is given to avoid the interferences, which is one of the most important requirements of practical applications. Hence in this work, a novel 2D-ULA which consists of horizontal-vertical ULA configuration is deployed for LMS and NLMS algorithm and proposed VSSNLMS to mitigate the effect of interferences.…”

Section: Normalized Lms (Nlms) Algorithmmentioning

confidence: 99%

Adaptive beamformers using 2D-novel ULA for cellular communication

Dakulagi

Alagirisamy

2019

SN Appl. Sci.

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This paper presents the use of a novel two dimensional (2D) uniform linear array for adaptive beamforming algorithms. We used this novel antenna configuration to study the popular adaptive beamforming algorithms, namely, least mean square algorithm (LMS) and least normalized mean square algorithm (NLMS) and also proposed a variable step-size NLMS (VSSNLMS) algorithm. These beamformers are named as 2D-LMS, 2D-NLMS and 2D-VSSNLMS algorithms respectively. These algorithms not only improve the convergence rate but also mitigates the effect of interference by producing deep nulls in the interference directions. These algorithms are suitable for low-power, low-cost, anti-interference MIMO-WLAN, WiMAX, 4G LTE and other advanced communication systems. systems in [7], mobile communication systems in [8] and satellite-to-satellite systems in [9].

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Section: Normalized Lms (Nlms) Algorithmmentioning

confidence: 99%

Adaptive beamformers using 2D-novel ULA for cellular communication

Dakulagi

Alagirisamy

2019

SN Appl. Sci.

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“…The transformation procedure also exploited for two-dimensional DOA (2D-DOA) estimation algorithms with relatively low computational requirement including UCA-RB-MUSIC [22], UCA-ESPRIT [23], UCA rank reduction [24], and root-MUSIC approach [25]. Beside these deterministic techniques for 1D and 2D DOA estimation, the stochastic procedures are also adopted for these global search based optimization problems [26][27][28][29]. All the existing procedures adopted for system identification of DOA models motivate authors to investigate stochastic optimization mechanism by exploitation of evolutionary heuristics for joint estimation of two-dimensional DOA parameters impinging on circular structural array of far field sources.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Heuristic Computing Paradigm for 2D-DOA Estimation along Circular Array

Shah

Raja

Al‐Turjman³

et al. 2022

Wireless Communications and Mobile Computing

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Direction of arrival (DOA) estimation problem has growing interest for the researcher investigating in system identification models arising in the field of digital signal processing, mobile communication, controls, and beamforming. In the presented work, evolutionary heuristic computing paradigm is presented for 2D-DOA estimation of plane waves impinging on uniform circular array. Performance metric of mean squared error is utilized as construction of a fitness function for the system, and the optimization strength of three methodologies, genetic algorithms (GAs), Pattern Search (PS), and integration of GAs with PS (GA-PS) is exploited for 2D-DOA estimation based on elevation as well as azimuth angles. Consistent precision, convergence, stability, and robustness of integrated heuristics of GA-PS are endorsed through outcomes of statistical observations.

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“…Wireless networks faced ever-changing needs over their spectrum resources, such as increasing the users in the network, capacity-intensive applications. The constant increase in global wireless subscribers becomes a challenge for the wireless providers to discover a practical path To reduce wireless congestion in a single network [1], [2].To increase the users' capacity and reduce the interference, a device that transmits a low capacity must be used, and that deals with the same frequencies within the same network. Consequently, it is necessary to keep up with the latest technologies that provide the system with higher capacity and data rate.…”

Section: Introductionmentioning

confidence: 99%

Comparative and analysis of evaluation of several direction of arrival estimation methods

2021

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Modern-day, global, and clever array systems have several distinguished approaches with regard to a wireless device. In this paper, a comparative analysis has been carried out amongst nine direction of arrival (DOA) algorithms: Capon, multiple signal classification (MUSIC), Bartlett, Pisarenko, linear prediction, maximum entropies, and min-norm, root-MUSIC, and estimation of signal parameters via rotational invariance technique (ESPRIT). in this paper reduces the number of antennas and snaps necessary to observe six target swithout interference for several DOA estimation methods. After comparing and analyzing all the algorithms, it has been shown that the music algorithm is the best algorithm that reduces interference and detects the desired sources. MATLAB R2019b was used in the simulation process.

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Smart Antenna System for DOA Estimation using Single Snapshot

Cited by 13 publications

References 12 publications

Adaptive beamformers using 2D-novel ULA for cellular communication

Adaptive beamformers using 2D-novel ULA for cellular communication

Evolutionary Heuristic Computing Paradigm for 2D-DOA Estimation along Circular Array

Comparative and analysis of evaluation of several direction of arrival estimation methods

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