An improved MMUSIC algorithm of direction of arrival estimation

Li, Bo

doi:10.1002/dac.1372

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…In Section 3.2, we proposed a modified method to improve the accuracy of DOA estimation and verify the consistency of the modified method. Kundu [38,39] proposes a method to obtain the more accurate DOA estimation by using conjugate matrix. It performs better than the previously existing methods.…”

Section: Resultsmentioning

confidence: 99%

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A Robust Direction of Arrival Estimation Method for Uniform Circular Array

et al. 2019

Sensors

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Estimating the Direction of Arrival (DOA) is a basic and crucial problem in array signal processing. The existing DOA methods fail to obtain reliable and accurate results when noise and reverberation occur in real applications. In this paper, an accurate and robust estimation method for estimating the DOA of sources signal is proposed. Incorporating the Estimating Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm with the RANdom SAmple Consensus (RANSAC) algorithm gives rise to the RAN-ESPRIT method, which removes outliers automatically in noise-corrupted environments. In this work, a uniform circular array (UCA) is converted into a virtual uniform linear array (ULA) to begin with. Then, the covariance matrix of the received signals of the virtual linear array is reconstructed, and the ESPRIT algorithm is deployed to estimate initial DOA of the source signal. Finally, the modified RANSAC method with automatically selected thresholds is used to fit the source signal to obtain accurate DOA. The proposed method can remove the unreliable DOA feature data and leads to more accuracy of DOA estimation of source signals in reverberation environments. Experimental results demonstrate that the proposed method is more robust and efficient compared to the traditional methods (i.e., ESPRIT, TLS-ESPRIT).

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Section: Resultsmentioning

confidence: 99%

“…To improve DOA estimations of source signals at low SNR, the idea of the combination of the ordinary and the conjugate data [39,40] is borrowed to obtain more accurate DOA estimations.…”

Section: Proposed Doa Estimation Methodsmentioning

confidence: 99%

A Robust Direction of Arrival Estimation Method for Uniform Circular Array

et al. 2019

Sensors

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“…They are (a) switchedbeam systems and (b) adaptive array system. Smart antenna array processing [6,41,42,[71][72][73][74][75] is based on the configuration of the spatial correlation matrix at the antenna array. In the design of smart antenna [43,44,76] techniques, system architecture, implementation and complexity limitations need to be considered.…”

Section: Types Of Smart Antennas With Their Principles and Configuratmentioning

confidence: 99%

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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“…In a wireless cellular communications system, wireless location has received considerable attention in the last decade because of the wide range of potential applications using location-based information. The common approaches involve the measurement of the time of arrival (TOA) [1][2][3], signal strength [4], time difference of arrival [5], and angle of arrival (AOA) [6] of radio signal transmitted by the mobile station (MS) and received at a number of base stations (BSs). The main challenge for accurate MS position estimation is the non-line-of-sight (NLOS) propagation, which results in large measurement errors because of single bounce or multiple bounce scenarios.…”

Section: Introductionmentioning

confidence: 99%

Two base station location techniques with adjusted measurements in circular scattering environments

Tan

et al. 2015

Int J Communication

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Summary In circular scattering environments, novel location techniques with only two base stations (BSs) are proposed in this paper. The proposed techniques estimate the true or line‐of‐sight ranges and angle based on non‐line‐of‐sight range and angle measurements. Three new variables are introduced when range measurements and angle measurement are available from two BSs and the serving BS, respectively. Bounds and relationships between the three variables are extracted from the geometry of the cell layout with the unknown and known scattering radius conditions, respectively. Our aim is to obtain the estimation of three new variables and then the hybrid line of position technique with the adjusted ranges, and angle is utilized to obtain the position estimation of a mobile station. In order to obtain the estimation of three new variables, a new nonlinear objective function is built to form the constrained nonlinear optimization and solved by the existing optimization algorithms. However, because of the nonconvex objective function, the optimization algorithm may converge to the local optimum and lead to bad performance. Thus, a heuristic search algorithm is proposed by averaging all the potential point. Simulation results show that the proposed techniques outperform conventional hybrid techniques. Copyright © 2015 John Wiley & Sons, Ltd.

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An improved MMUSIC algorithm of direction of arrival estimation

Cited by 3 publications

References 10 publications

A Robust Direction of Arrival Estimation Method for Uniform Circular Array

A Robust Direction of Arrival Estimation Method for Uniform Circular Array

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

Two base station location techniques with adjusted measurements in circular scattering environments

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