An efficient 2-D DOA estimation algorithm for coherent signals

Tian, Z.; Tang, Jiashan

doi:10.1109/icuwb.2016.7790605

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The problem of two‐dimensional (2D) direction‐of‐arrivals (DOAs) estimation of a mixture of noncoherent and coherent narrowband signals has attracted a lot of interest in many practical application scenarios such as radar, sonar, and wireless communication. Compared with the maximum likelihood (ML) method in the works of Sheinvald et al and Stoica and Nehorai, the subspace‐based algorithms (eg, other works) can offer a good trade‐off between the performance and computational complexity and have attained considerable attentions.…”

Section: Introductionmentioning

confidence: 99%

Two‐dimensional DOA estimation for noncoherent and coherent signals using subspace approach

Shahimaeen

Dehghani

Dodangeh

2019

Trans Emerging Tel Tech

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This paper focuses on the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation for a mixture of noncoherent and coherent signals impinging on two parallel uniform linear arrays. It adopts the principal-eigenvector utilization for modal analysis (PUMA)-based algorithm. The algorithm offers a closed-form solution for updating the 2D DOA estimation and pairs the estimated angles automatically as well as has mild computational complexity. Finally, simulation results confirm that our PUMA-based algorithm has good performance in handling 2D DOA estimation even in the presence of coherent signals.Trans Emerging Tel Tech. 2019;30:e3752.wileyonlinelibrary.com/journal/ett

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Section: Introductionmentioning

confidence: 99%

Two‐dimensional DOA estimation for noncoherent and coherent signals using subspace approach

Shahimaeen

Dehghani

Dodangeh

2019

Trans Emerging Tel Tech

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“…Direction of arrival (DOA) estimation of coherent signals has many applications in wireless communication and military scenarios, where coherent signals result from multipath propagation and smart jammers.…”

Section: Introductionmentioning

confidence: 99%

Two‐dimensional DOA estimation for coherent signals using a novel covariance‐like matrix

Shahimaeen

Dehghani

2019

Trans Emerging Tel Tech

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This paper addresses a two‐dimensional (2‐D) direction of arrival (DOA) estimation of coherent signals problem. To do so, we first reconstruct a covariance‐like matrix, and then apply forward and backward spatial smoothing (FBSS) method as a preprocessor to remedy the rank deficiency problem. By utilizing the covariance‐like matrix instead of outputs sensors in the FBSS method, the noise and small fading factor influences are reduced in the DOA estimation problem. Afterward, two matrix pencil pairs are exploited to extract 2‐D DOA of impinging signals. This two matrix pencil pairs method can estimate 2‐D DOA with repeated eigenvalues efficiently and also pair the estimated parameters automatically. The proposed algorithm not only has all the privileges of the estimation of signal parameters via rotational invariant techniques (ESPRIT)‐like algorithm but also increases the array aperture. By mathematical tractability, we derive Cramer‐Rao bounds for azimuth and elevation angles for coherent signals received by uniform rectangular array to compare the performance of the estimation algorithms with a lower bound. Simulation results show that the proposed algorithm outperforms the symmetric configuration of uniform rectangular array (SC‐URA), the FBSS–multiple‐signal classification (FBSS‐MUSIC) and the ESPRIT‐like algorithms in terms of root mean squared error (RMSE).

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Long-Term Channel Estimation for mm-Wave Hybrid Beamforming Systems of Coherent Signals Based on 2-D MUSIC Algorithm

Wei

et al. 2018

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

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An efficient 2-D DOA estimation algorithm for coherent signals

Cited by 3 publications

References 8 publications

Two‐dimensional DOA estimation for noncoherent and coherent signals using subspace approach

Two‐dimensional DOA estimation for noncoherent and coherent signals using subspace approach

Two‐dimensional DOA estimation for coherent signals using a novel covariance‐like matrix

Long-Term Channel Estimation for mm-Wave Hybrid Beamforming Systems of Coherent Signals Based on 2-D MUSIC Algorithm

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