Fast 2-D Doa and Polarization Estimation Using Arbitrary Conformal Antenna Array

Yang, Peng; Yang, Feng; Nie, Zaiping; Zhou, Hang; Li, Biao; Tang, Xianfa

doi:10.2528/pierc11070706

Cited by 4 publications

(6 citation statements)

References 21 publications

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“…The performances of these algorithms are presented through Monte Carlo simulations. (33) and (34). Their azimuth angles are 0 • , one signal's elevation angle is set to 0 • , and the other is modified.…”

Section: 2mentioning

confidence: 99%

“…But the algorithms mentioned in [29,30] assumed that 1 polarization parameter and 1 direction parameter are predetermined, which cannot be satisfied generally. In [31,32,33], the amount of calculation is reduced by dividing the process of estimation into two steps: one concerns with the polarization, and the other with the direction. The drawback of this method is that the second step in the algorithm depends on the success of previous step.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithms presented in [29][30][31][32][33] require no assistance of magnetic components. But the algorithms mentioned in [29,30] assumed that 1 polarization parameter and 1 direction parameter are predetermined, which cannot be satisfied generally.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Fast DOA Estimation Algorithm Based on Polarization MUSIC

Guo¹,

Mao²,

Li³

et al. 2015

RADIOENGINEERING

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Abstract.A fast DOA estimation algorithm developed from MUSIC, which also benefits from the processing of the signals' polarization information, is presented. Besides performance enhancement in precision and resolution, the proposed algorithm can be exerted on various forms of polarization sensitive arrays, without specific requirement on the array's pattern. Depending on the continuity property of the space spectrum, a huge amount of computation incurred in the calculation of 4-D space spectrum is averted. Performance and computation complexity analysis of the proposed algorithm is discussed and the simulation results are presented. Compared with conventional MUSIC, the proposed algorithm has considerable advantage in aspects of precision and resolution, with a low computation complexity proportional to a conventional 2-D MUSIC.

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Section: 2mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Fast DOA Estimation Algorithm Based on Polarization MUSIC

Guo¹,

Mao²,

Li³

et al. 2015

RADIOENGINEERING

View full text Add to dashboard Cite

show abstract

“…From (14), it can be seen that if θ, ϕ is the desired DOA, f θ, ϕ will be equivalent to zero. Given that f θ, ϕ is a periodic function in θ and ϕ with the period 2π, it can be expressed using the finite 2D Fourier series as [18] …”

Section: International Journal Of Antennas and Propagationmentioning

confidence: 99%

Two-Dimensional DOA Estimation Using Arbitrary Arrays for Massive MIMO Systems

Lonkeng

Zhuang

2017

International Journal of Antennas and Propagation

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With the quick advancement of wireless communication networks, the need for massive multiple-input-multiple-output (MIMO) to offer adequate network capacity has turned out to be apparent. As a portion of array signal processing, direction-of-arrival (DOA) estimation is of indispensable significance to acquire directional data of sources and to empower the 3D beamforming. In this paper, the performance of DOA estimation for massive MIMO systems is analyzed and compared using a low-complexity algorithm. To be exact, the 2D Fourier domain line search (FDLS) MUSIC algorithm is studied to mutually estimate elevation and azimuth angle, and arbitrary array geometry is utilized to represent massive MIMO systems. To avoid the computational burden in estimating the data covariance matrix and its eigenvalue decomposition (EVD) due to the large-scale sensors involved in massive MIMO systems, the reduced-dimension data matrix is applied on the signals received by the array. The performance is examined and contrasted with the 2D MUSIC algorithm for different types of antenna configuration. Finally, the array resolution is selected to investigate the performance of elevation and azimuth estimation. The effectiveness and advantage of the proposed technique have been proven by detailed simulations for different types of MIMO array configuration.

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“…Direction-Of-Arrival (DOA) estimation is one of the most important research problems in various applications such as radar [1][2][3], sonar [4], communications [5][6], etc.…”

Section: Introductionmentioning

confidence: 99%

A High Resolution Doa Estimating Method Without Estimating the Number of Sources

Zhou¹,

Gao²,

Wang³

2012

PIER C

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Abstract-The performance of high resolution subspace-based algorithms are particularly sensitive to the prior information of the source number, the Signal-to-Noise Ratio (SNR) and the snapshot. Although the existing direction-of-arrival (DOA) estimation methods without estimating the source number could eliminate the awful impact brought by incorrect source number estimation, yet its performance would get deteriorated by small snapshots and low SNR. Methods which exploit noise and signal subspaces information simultaneously, such as SSMUSIC, could provide a high resolution performance in such nonideal circumstances. However, its performance would degrade severely when the prior information of the source number is incorrect. To provide a DOA estimation method without estimating the number of source, which has a high resolution performance in small sample and low SNR scenario, using all information spreads in eigenvalues and eigenvectors, this paper reconstructs a new spatial spectrum which is very similar to the SSMUSIC algorithm. In order to enhance the robustness of the new method, we provide an empirical method to modify the eigenvalues to prohibit the spreading of noise eigenvalues caused by snapshot deficient and low SNR. To verify the validity of the new method, comparisons with other algorithms are made in computer simulations and the measured data test.

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Fast 2-D Doa and Polarization Estimation Using Arbitrary Conformal Antenna Array

Cited by 4 publications

References 21 publications

A Fast DOA Estimation Algorithm Based on Polarization MUSIC

A Fast DOA Estimation Algorithm Based on Polarization MUSIC

Two-Dimensional DOA Estimation Using Arbitrary Arrays for Massive MIMO Systems

A High Resolution Doa Estimating Method Without Estimating the Number of Sources

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