Implementation and validation of an Angle of Arrival (AOA) determination system

Arenas, Mikel; Podhorski, Adam; Arrizabalaga, Saioa; Goya, Jon; Sedano, B.; Mendizábal, Jaizki

doi:10.1109/dcis.2015.7388579

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…There is plenty of research available on the implementation of the MUSIC algorithm on FPGA. The algorithm has been studied extensively for different array structures, input data type/length, accuracy, SNR and number of snapshots [18] - [22]. Variants of the MUSIC algorithm like root-MUSIC algorithm [23], improved MUSIC algorithm [24] or modified MUSIC algorithm [25] have been proposed to reduce the algorithm complexity.…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, the algebraic method [16] is followed with a few modifications, for determining the eigenvalues of the normalized covariance matrix. The mathematical model presented in (equations ( 4) to (18) )is used to perform eigenvalue decomposition. Fig.…”

Section: ) Eigenvalue Decomposition (Evd)mentioning

confidence: 99%

“…Keeping this in mind, equations (8) to (18) are modified for implementation of a further optimized design referred as Design Approach II. The modified mathematical model is as follows:…”

Section: B Optimized Music Algorithm With Modified Evd Blockmentioning

confidence: 99%

See 2 more Smart Citations

Towards Low Latency and Resource-Efficient FPGA Implementations of the MUSIC Algorithm for Direction of Arrival Estimation

Butt

Khan

Ullah

et al. 2021

IEEE Trans. Circuits Syst. I

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The estimation of the Direction of Arrival (DoA) is one of the most critical parameters for target recognition, identification and classification. MUltiple SIgnal Classification (MUSIC) is a powerful technique for DoA estimation. The algorithm requires complex mathematical operations like the computation of the covariance matrix for the input signals, eigenvalue decomposition and signal peak search. All these signal processing operations make real-time and resource-efficient implementation of the MUSIC algorithm on Field Programmable Gate Arrays (FPGAs) a challenge.In this paper, a novel design approach is proposed for the FPGAimplementation of the MUSIC algorithm. This approach enables a significant reduction in both FPGA resources and latency. In more detail, the proposed design enables the estimation of DoA in real-time scenarios in 2µsec with 30% to 50% fewer resources as compared to existing techniques.

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Section: Related Workmentioning

confidence: 99%

Section: ) Eigenvalue Decomposition (Evd)mentioning

confidence: 99%

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Towards Low Latency and Resource-Efficient FPGA Implementations of the MUSIC Algorithm for Direction of Arrival Estimation

Butt

Khan

Ullah

et al. 2021

IEEE Trans. Circuits Syst. I

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“…Several papers have addressed real‐time implementation of DOA estimation using FPGAs; examples of which are Bartlett DOA algorithm [6], MUSIC algorithm [7, 8], and ESPRIT algorithm [9]. This paper, on the other hand, focuses on FPGA implementation of a recently published DOA algorithm presented in [10].…”

Section: Introductionmentioning

confidence: 99%

FPGA‐based real‐time implementation for direction‐of‐arrival estimation

Alhamed

Tayem

Alshawi

et al. 2017

J. eng.

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“…MU-MIMO requires channel state information of all users at transmitter to properly serve the spatially multiplexed users. Several papers have addressed implementation of DOA estimation using FPGAs; examples of which are Bartlett algorithm [7], ESPRIT algorithm [8] and MUSIC algorithm [9]. This paper, on the other hand, focuses on implementation of a Bartlett algorithm on the host in MU-MIMO scenario and channel state information estimation implemented on the FPGA.…”

mentioning

confidence: 99%

MIMO OFDM DOA Estimation Algorithm Implementation and Validation Using SDR Platform

Martin

Arshak

2019

JCOMSS

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The work is devoted to research in Mobile Station (MS) positioning techniques having opportunity and perspective of using in the next generation communication networks, particularly in cellular networks. Direction of Arrival (DOA) estimation is necessary in many positioning applications and has been well studied by academy and by industry. The main contribution of this work is to design and implement a computationally light direction of arrival estimator on a Multiple Input Multiple Output (MIMO) Software Defined Radio (SDR) platform. Implemented direction of arrival estimator is tested and validated in real conditions and experimental measurements show, that the implemented algorithm can accurately estimate the directions of arrived signals. Used algorithm, estimates direction of arrivals by processing received data of 16-element two dimensional planar antenna array. The algorithm uses initial data received from channel estimators and further process it to obtain direction information. The hardware implementation has been thoroughly analyzed and experimentally validated and open source host code is available on Github.

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Implementation and validation of an Angle of Arrival (AOA) determination system

Cited by 6 publications

References 8 publications

Towards Low Latency and Resource-Efficient FPGA Implementations of the MUSIC Algorithm for Direction of Arrival Estimation

Towards Low Latency and Resource-Efficient FPGA Implementations of the MUSIC Algorithm for Direction of Arrival Estimation

FPGA‐based real‐time implementation for direction‐of‐arrival estimation

MIMO OFDM DOA Estimation Algorithm Implementation and Validation Using SDR Platform

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