Emerging Trends, Issues and Challenges for Array Signal Processing and Its Applications in Smart City

Submission Deadline: 31 December 2018

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Emerging Trends, Issues and Challenges for Array Signal Processing and Its Applications in Smart City.

The array signal processing technique, including what is also known as direction-of-arrival (DOA) estimation, has been widely applied in radar, sonar, wireless communications and other traditional fields. The source detection and localization capability offered by array signal processing also makes it an invaluable tool in smart cities. As an emerging research area, smart city has brought up a unique set of challenges and opportunities for sensor array research. These include low signal-to-noise ratio (SNR), limited number of measurements, high interference from a multitude of sources, and the need for energy efficiency.

Traditionally, the challenge of sensor array signal processing arises from the fact that the observed snapshots are nonlinear functions of the directions of interest. The performance of traditional DOA estimation algorithms, such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance techniques (ESPRIT), may greatly degrade at a low SNR or with a small snapshot number. Recently, sparse representation (SR) based methods have been rapidly developed in order to deal with these problems. These methods have many advantages such as flexibility in incorporating different noise types and measurement schemes, high estimation accuracy and spatial resolution, as well as the ability to handle correlated sources. However, the disadvantages are obvious as well, particularly the model mismatch and the grid mismatch issues. As a solution, the gridless method based on atomic norm was developed as an alternative that addresses many of the issues. However, this approach suffers from high computational complexity.

This Special Section in IEEE Access is intended to encourage high-quality research in array signal processing and its applications in smart city. Authors are invited to submit articles presenting new research related to the theory or practice about array signal processing techniques, including algorithms, models, technology and applications. All submissions must describe original research, and not published or currently under review for another workshop, conference, or journal. The topics suggested can be discussed in terms of concepts, the state of the art, implementations, and running experiments or applications.

The topics of interest include, but are not limited to:

  • Compressed sensing based methods for DOA estimation
  • Low computational complexity gridless methods for DOA estimation
  • Application of machine learning for DOA estimation
  • DOA estimation for sparse arrays, super-resolution for MIMO radar and DOA and polarization estimation based on SR techniques
  • Robust DOA estimation in low SNR or with a small snapshot number
  • Array geometry optimization for high accuracy DOA estimation
  • Tensor based method for high dimensional parameter estimation
  • Performance analysis for different DOA estimation methods
  • Convex and nonconvex optimizations related to array signal processing
  • Hardware implementation for advanced array signal processing techniques
  • New technologies and research trends for array signal processing
  • Array signal processing in emergency medical system
  • Array signal processing for fault detection
  • Other emerging research field of smart city exploiting array signal processing techniques

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor:  Liangtian Wan, Dalian University of Technology, China

Guest Editors:

  1. Xianpeng Wang, Hainan University, Hainan, China
  2. Gongguo Tang, Colorado School of Mines, USA
  3. Wei Liu, University of Sheffield, UK
  4. Guoan Bi, Nanyang Technological University, Singapore

Relevant IEEE Access Special Sections:


  1. Green Signal Processing for Wireless Communications and Networking
  2. Underwater Wireless Communications and Networking
  3. GNSS, Localization, and Navigation Technologies

IEEE Access Editor-in-Chief:
Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: wan.liangtian.2015@ieee.org