International Journal of Antennas and Propagation

Advances in DOA Estimation and Source Localization


Status
Published

1University of New South Wales, Sydney, Australia

2Villanova University, Villanova, USA

3Carleton University, Ottawa, Canada

4American University of Beirut, Beirut, Lebanon

5Aalto University, Espoo, Finland


Advances in DOA Estimation and Source Localization

Description

Direction of Arrival (DOA) estimation is a hot research topic in various areas including radar and communications. DOA estimation is often implemented using either antenna arrays or multiple antennas working cooperatively. As radar and communications services proliferate, the need for novel, fast, and accurate DOA estimation techniques has become more pertinent. In automotive radar, for instance, antenna arrays are being deployed to enable applications such as emergency braking. In communications, the quality of wireless services can be greatly enhanced if the user information is known. In navigation, DOA estimation and interference localization permit interferers to be disabled, which is essential in safety critical applications such as air travel.

High-resolution methods (such as subspace based techniques) can achieve very good resolution and accuracy but at the expense of high computational cost. They also cannot be applied in the single snapshot case unless spatial smoothing is employed, which compromises both the resolution and accuracy. Discrete Fourier Transform (DFT) methods, on the other hand, are computationally much simpler and suitable for the single snapshot case but have traditionally only been able to deal with one single source at a time. In the multiple sources case, these methods suffer from low resolution and degradation due to leakage effects.

The aim of this special issue is to publish original research as well as review articles on recent advances in technologies and techniques for enhanced DOA estimation and its applications in radar, sonar, wireless communications, and other fields.

Potential topics include but are not limited to the following:

  • Array design for enhanced DOA estimation
  • Array thinning for DOA estimation
  • Reconfigurable arrays for DOA estimation
  • Single and multisource localization
  • Single snapshot DOA estimation algorithms
  • Multiple snapshot DOA estimation algorithms
  • DOA estimation for sparse and coprime arrays
  • DOA estimation for Minimum Redundancy Arrays
  • Advances in DOA estimation in partly calibrated arrays
  • Array processing using two-dimensional and higher-dimensional arrays
  • Advances in 2D DOA estimation using electromagnetic vector sensors
  • DOA estimation performance bounds
  • Advances in DOA estimation for automotive radar
  • Advances in DOA estimation for MIMO radar
  • Advances in DOA estimation for OFDM
  • Antennas design for DOA estimation

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 1352598
  • - Editorial

Advances in DOA Estimation and Source Localization

Elias Aboutanios | Aboulnasr Hassanien | ... | Sergiy A. Vorobyov
  • Special Issue
  • - Volume 2017
  • - Article ID 1613638
  • - Research Article

Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas

Henna Paaso | Aki Hakkarainen | ... | Aarne Mämmelä
  • Special Issue
  • - Volume 2017
  • - Article ID 9038341
  • - Research Article

Robust Cyclic MUSIC Algorithm for Finding Directions in Impulsive Noise Environment

Sen Li | Xiaojing Chen | Rongxi He
  • Special Issue
  • - Volume 2017
  • - Article ID 6425067
  • - Research Article

Direction-of-Arrival Estimation for Coprime Array Using Compressive Sensing Based Array Interpolation

Aihua Liu | Qiang Yang | ... | Weibo Deng
  • Special Issue
  • - Volume 2017
  • - Article ID 1615962
  • - Research Article

Tensor-Based Methods for Blind Spatial Signature Estimation in Multidimensional Sensor Arrays

Paulo R. B. Gomes | André L. F. de Almeida | ... | Giovanni Del Galdo
  • Special Issue
  • - Volume 2017
  • - Article ID 6926825
  • - Research Article

Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA

Yun-Seong Cho | Jeong-Min Seo | Joon-Ho Lee
  • Special Issue
  • - Volume 2016
  • - Article ID 5063450
  • - Research Article

Azimuth/Elevation Directional Finding with Automatic Pair Matching

Nizar Tayem
  • Special Issue
  • - Volume 2016
  • - Article ID 1343194
  • - Research Article

Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil

Qing Xie | Dan Liu | ... | Fangcheng Lü
  • Special Issue
  • - Volume 2016
  • - Article ID 7832475
  • - Research Article

DOA Estimation of Cylindrical Conformal Array Based on Geometric Algebra

Minjie Wu | Xiaofa Zhang | ... | Naichang Yuan
  • Special Issue
  • - Volume 2016
  • - Article ID 4926496
  • - Research Article

Efficient AM Algorithms for Stochastic ML Estimation of DOA

Haihua Chen | Shibao Li | ... | Masakiyo Suzuki
International Journal of Antennas and Propagation
 Journal metrics
Acceptance rate35%
Submission to final decision72 days
Acceptance to publication30 days
CiteScore1.190
Impact Factor1.347
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