Real-valued DOA estimation for a mixture of uncorrelated and coherent sources via unitary transformation

Si, Weijian; Zhao, Pinjiao; Qu, Zhiyu; Wang, Yan

doi:10.1016/j.dsp.2016.07.024

Cited by 12 publications

(9 citation statements)

References 28 publications

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“…To solve the problems in the existing methods, a new beamformer for multipath signal reception based on high order angle constraint is proposed in this paper. In general, it is more difficult and computationally expensive to estimate the incident directions of coherent signals than the uncorrelated signals which can be realized by conventional methods [17]. So in this technique the DOAs of the interferences are assumed to be obtained in advance.…”

Section: Introductionmentioning

confidence: 99%

New Robust Adaptive Beamforming Method for Multipath Coherent Signal Reception

Tang¹,

Qian²,

Liu³

et al. 2019

PIER M

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In this paper a novel robust beamforming method is devised to receive multipath signals effectively. The new algorithm constructs a transformation matrix derived through high-order angle constraint to suppress the interferences with the directions of arrival (DOA) of interference signals. Using the transformed data, the composite steering vector of the multipath signals is estimated as the principal eigenvector of the signal subspace, and then is utilized in minimum variance distortionless response (MVDR) beamforming to compute the optimal weight vector. The new algorithm is improved in robustness to DOA error by forming wide nulls in incident directions of the interferences, and keeps effective in the presence of coherent interferences. Simulations analyses are provided to illustrate the robustness and effectiveness of the new beamformer.

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Section: Introductionmentioning

confidence: 99%

New Robust Adaptive Beamforming Method for Multipath Coherent Signal Reception

Tang¹,

Qian²,

Liu³

et al. 2019

PIER M

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“…But different to [35][36][37][38][39][40], the proposed AOP-DOA has no limitation on antenna array geometry since the OP technique is differently used. Herein, AOP-DOA employs OP technique to alternately separate each of the received signals from array measurements.…”

Section: Introductionmentioning

confidence: 99%

“…Then the DOAs of coherent signals are estimated by the algorithm of spatial smoothing, redundancy averaging, etc.. But confined to the decorrelation algorithms, [35][36][37][38][39][40] were only researched with certain regular arrays (e.g., uniform linear array).…”

Section: Introductionmentioning

confidence: 99%

“…However, both are not applicable for coherent signals, since they aim at improving the performance of MUSIC for noncoherent signals. In [35][36][37][38][39][40], for DOA estimation of mixed coherent and noncoherent signals, the OP technique was utilized to eliminate the contributions of noncoherent signals from the data covariance matrix so that only those of coherent signals remain. Then the DOAs of coherent signals are estimated by the algorithm of spatial smoothing, redundancy averaging, etc..…”

Section: Introductionmentioning

confidence: 99%

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DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection

Hou¹,

Mao²

2017

RADIOENGINEERING

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“…Direction of arrival (DOA) estimation has been a crucial issue in various application areas involving radar, wireless communication, and navigation [1][2][3]. Multiple signal classification (MUSIC) [4] and estimation of signal parameter via rotational invariance technique (ESPRIT) [5], known as the two most classical subspace-based DOA estimation algorithms, have been proposed to resolve uncorrelated sources.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi² Prior

Zhao

et al. 2018

International Journal of Antennas and Propagation

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Direction of arrival (DOA) estimation algorithms based on sparse Bayesian inference (SBI) can effectively estimate coherent sources without recurring to extra decorrelation techniques, and their estimation performance is highly dependent on the selection of sparse prior. Specifically, the specified sparse prior is expected to concentrate its mass on the zero and distribute with heavy tails; otherwise, these algorithms may suffer from performance degradation. In this paper, we introduce a new sparse-encouraging prior, referred to as "Gauss-Exp-Chi 2 " prior, and develop an efficient DOA estimation algorithm for a mixture of uncorrelated and coherent sources under a hierarchical SBI framework. The Gauss-Exp-Chi 2 prior distribution exhibits a sharp peak at the origin and heavy tails, and this property makes it an appropriate prior to encourage sparse solutions. A three-layer hierarchical sparse Bayesian model is established. Then, by exploiting variational Bayesian approximation, the model parameters are estimated by alternately updating until Kullback-Leibler (KL) divergence between the true posterior and the variational approximation becomes zero. By constructing the source power spectra with the estimated model parameters, the number and locations of the highest peaks are extracted to obtain source number and DOA estimates. In addition, some implementation details for algorithm optimization are discussed and the Cramér-Rao bound (CRB) of DOA estimation is derived. Simulation results demonstrate the effectiveness and favorable performance of the proposed algorithm as compared with the state-of-the-art sparse Bayesian algorithms.

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Real-valued DOA estimation for a mixture of uncorrelated and coherent sources via unitary transformation

Cited by 12 publications

References 28 publications

New Robust Adaptive Beamforming Method for Multipath Coherent Signal Reception

New Robust Adaptive Beamforming Method for Multipath Coherent Signal Reception

DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection

DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi² Prior

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Real-valued DOA estimation for a mixture of uncorrelated and coherent sources via unitary transformation

Cited by 12 publications

References 28 publications

New Robust Adaptive Beamforming Method for Multipath Coherent Signal Reception

New Robust Adaptive Beamforming Method for Multipath Coherent Signal Reception

DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection

DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi2 Prior

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DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi² Prior