Adaptive Beamformer based Left-Right Ambiguity Resolution Using Twin array

Nair, Baiju M; Rubin, Jonathan; Kumar, Arun; Bahl, Rajendar

doi:10.1109/oceanschennai45887.2022.9775347

Cited by 4 publications

(5 citation statements)

References 15 publications

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“…where L BR denotes the number of paths between the BS and RIS, variables 3 , and [ρ BR ] l BR ∈ C denote the angle-of-departure (AoD), AoA, and propagation path gain of 3 In this paper, we assume that the left-right ambiguity issue of the ULA can be resolved through array signal processing approaches [21], [22] and thus the azimuths are assumed within a half angular space.…”

Section: B Channel Modelmentioning

confidence: 99%

“…which is non-convex and NP-hard. In fact, (21) is the convex relaxation of (22). To further promote sparsity, we propose to approximately solve (22) via solving a set of SDP problems (see [31], [32] for details).…”

Section: Reweighted Pdanm Algorithmmentioning

confidence: 99%

“…In fact, (21) is the convex relaxation of (22). To further promote sparsity, we propose to approximately solve (22) via solving a set of SDP problems (see [31], [32] for details). The proposed algorithm is named RPDANM since the problem solved in each iteration is a weighted PDANM (WPDANM) problem with varying weighting matrices and functions, as will be detailed below.…”

Section: Reweighted Pdanm Algorithmmentioning

confidence: 99%

“…Then, we update the weighting matrices as (28) and solve (27) again to update {t * , T * , Ĥ}, where ϵ > 0 is a regularization parameter that guarantees the invertibility of matrices. To gradually approach a solution to (22), ϵ is halved after each iteration [31], [32]. This step is repeated until the difference between two adjacent Ĥ is smaller than a given threshold or the maximum number of iterations is reached.…”

Section: Reweighted Pdanm Algorithmmentioning

confidence: 99%

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Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization

Wymeersch

Juntti

2021

IEEE Trans. Wireless Commun.

224

147

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Channel estimation (CE) plays a key role in reconfigurable intelligent surface (RIS)-aided multipleinput multiple-output (MIMO) communication systems, while it poses a challenging task due to the passive nature of RIS and the cascaded channel structures. In this paper, a partially decoupled atomic norm minimization (PDANM) framework is proposed for CE of RIS-aided MIMO systems, which exploits the three-dimensional angular sparsity of the channel. In particular, PDANM partially decouples the differential angles at the RIS from other angles at the base station and user equipment, reducing the computational complexity compared with existing methods. A reweighted PDANM (RPDANM) algorithm is proposed to further improve CE accuracy, which iteratively refines CE through a specifically designed reweighing strategy. Building upon RPDANM, we propose an iterative approach named RPDANM with adaptive phase control (RPDANM-APC), which adaptively adjusts the RIS phases based on previously estimated channel parameters to facilitate CE, achieving superior CE accuracy while reducing training overhead. Numerical simulations demonstrate the superiority of our proposed approaches in terms of running time, CE accuracy, and training overhead. In particular, the RPDANM-APC approach can achieve higher CE accuracy than existing methods within less than 40 percent training overhead while reducing the running time by tens of times.

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Section: B Channel Modelmentioning

confidence: 99%

Section: Reweighted Pdanm Algorithmmentioning

confidence: 99%

Section: Reweighted Pdanm Algorithmmentioning

confidence: 99%

Section: Reweighted Pdanm Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization

Wymeersch

Juntti

2021

IEEE Trans. Wireless Commun.

224

147

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show abstract

“…This is a crude method and it may not be applicable for a maneuvering target as target's position changes with time. Another way is to use twin arrays instead of using a single array [11], [12]. It demands one more extra array arrangement which is generally not preferred by the users.…”

Section: Introductionmentioning

confidence: 99%

Resolving Left-Right Ambiguity During Bearing Only Tracking of an Underwater Target Using Towed Array

Das¹,

Tiwari²,

Bhaumik³

2023

Preprint

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In bearing only tracking using a towed array, the array can sense the bearing angle of the target but is unable to differentiate whether the target is on the left or the right side of the array. Thus, the traditional tracking algorithm generates tracks in both the sides of the array which create difficulties when interception is required. In this paper, we propose a method based on likelihood of measurement which along with the estimators can resolve left-right ambiguity and track the target. A case study has been presented where the target moves (a) in a straight line with a near constant velocity, (b) maneuvers with a turn, and observer takes a 'U'-like maneuver. The method along with the various estimators has been applied which successfully resolves the ambiguity and tracks the target. Further, the tracking results are compared in terms of the root mean square error in position and velocity, bias norm, % of track loss and the relative execution time.

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