Extended reduced‐rank joint estimation of direction of arrival with mutual coupling for coherent signals

Thet, Nann Win Moe; Kachroo, Amit; Özdemir, Mehmet Kemal

doi:10.1002/ett.3620

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…1,2 It has numerous applications such as air traffic control (ATC), 3 automatic vehicle path tracking in the wireless sensor network (WSN) for the unattended ground sensors (UGS), 4 automatic camera steering in a conference room, 5 DoA trajectory estimation of incoming missiles in tactical defense operations 6 and DoA-based beamforming at the base station of multiuser massive MIMO systems. 7,8 In most of the above-mentioned applications, the time-varying DoA estimation problems have attracted the interest of many researchers in the past decades. Some common approaches are based on subspace fitting, [9][10][11][12] maximum likelihood (ML) method in a Kalman filtering framework, 13 adaptive beamforming, 14 and compressed sensing.…”

Section: Introductionmentioning

confidence: 99%

“…Multitarget direction of arrival (DoA) estimation and tracking in the presence of interference and noise is one of the important research areas of array signal processing 1,2 . It has numerous applications such as air traffic control (ATC), 3 automatic vehicle path tracking in the wireless sensor network (WSN) for the unattended ground sensors (UGS), 4 automatic camera steering in a conference room, 5 DoA trajectory estimation of incoming missiles in tactical defense operations 6 and DoA‐based beamforming at the base station of multiuser massive MIMO systems 7,8 …”

Section: Introductionmentioning

confidence: 99%

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Multitarget direction of arrival trajectory estimation using BiLSTM and sequential allocation

Banadkoki,

Ferdosizadeh Naeiny

2024

Trans Emerging Tel Tech

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The purpose of this study is multiple source direction of arrival (DoA) trajectory estimation using bidirectional long short‐term memory (BiLSTM) artificial neural network and sequential direction assignment. Conventional DoA tracking algorithms suffer from the necessity of accurate prior information and complex modeling. But in this article, the DoA trajectory estimation has been transformed into a mapping problem between a sequence of sample correlation matrices and a limited number of sampled directions from the corresponding trajectories. For this aim, several challenges must be resolved. One of these challenges is to define a hypothesis space of nonlinear and distinct trajectories, provided that they include most of the possible movement scenarios in the desired angular range. The second one is the lack of uniqueness between the sample correlation matrices and different permutations of DoAs. The last one is the assignment of the estimated DoAs to the corresponding trajectories. This article proposes polynomials for the path modeling of the moving sources. Then, directions and slopes of the paths at certain times are defined as the outputs of two separate BiLSTM networks. Finally, the directions and slopes of the paths are used for the sequential assignment of DoAs to the different trajectories. Simulation results indicate that the proposed method not only estimates the DoA trajectories of moving sources accurately, but also it significantly performs better than compressed sensing‐based and subspace‐based methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multitarget direction of arrival trajectory estimation using BiLSTM and sequential allocation

Banadkoki,

Ferdosizadeh Naeiny

2024

Trans Emerging Tel Tech

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Data driven 3D channel estimation for massive MIMO

Siyad

Tamilselvan

2021

Int. j. inf. tecnol.

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Impact of Mutual Coupling on Power-Domain Non-Orthogonal Multiple Access (NOMA)

et al. 2020

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This paper investigates the impact of mutual coupling (MC) on the achievable sum-rate of power-domain non-orthogonal multiple access (NOMA) system in both uplink (UL) and downlink (DL) transmissions. We assume a single-antenna user NOMA system with directional beamforming in the millimeter wave (mmW) channel. Due to the electromagnetic interaction between the antenna elements, called mutual coupling, at the base station (BS), the steering vector of the channel is affected. Consequently, this leads to distorted antenna pattern pointing towards different directions and reduction in channel gain, based on antenna array structure. In this paper, different antenna geometries and configurations, such as onedimensional (1D) uniform linear array (ULA), two-dimensional (2D), and three-dimensional (3D) uniform circular array (UCA), are implemented at the BS, where induced electromotive force (EMF) and method of moment (MOM) techniques are used to generate the MC coefficients. We first examine the antenna patterns affected by MC, followed by channel gains of user terminals (UT)s. Then sum-rate of the NOMA system is modified in the presence of MC. Furthermore, mutual coupling is compensated successfully for both UL and DL systems for the given antenna structures. Simulation results show that mutual coupling degrades the sum-rate performance of the NOMA system in all three array structures, especially in the UCA structure due to the smaller spacing of the array element in a circular shape, resulting in symmetric mutual coupling from both sides of the circle. On the other hand, it is also shown that compensating the mutual coupling effect by the MOM technique in the case of unknown MC or matrix inversion in the case of known MC significantly improves the system sum-rate in all scenarios. INDEX TERMS Non-orthogonal multiple access (NOMA), multiuser beamforming, millimeter wave, sum-rate, mutual coupling (MC), uniform linear array (ULA), uniform circular array (UCA), 3D UCA.

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Extended reduced‐rank joint estimation of direction of arrival with mutual coupling for coherent signals

Cited by 3 publications

References 36 publications

Multitarget direction of arrival trajectory estimation using BiLSTM and sequential allocation

Multitarget direction of arrival trajectory estimation using BiLSTM and sequential allocation

Data driven 3D channel estimation for massive MIMO

Impact of Mutual Coupling on Power-Domain Non-Orthogonal Multiple Access (NOMA)

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