Recent Advances in Sensor Array and Multichannel Signal Processing with Its Applications to IoT Security

Dear Colleagues,

In the past few years, there have been several exciting breakthroughs in the field of sensor array and multichannel signal processing, which are promising to expand its applications in radar, sonar, acoustics, speech, radio astronomy, wireless communications, etc. Specifically, the sparse arrays promote the performance of resolution, degrees-of-freedom, and efficiency for both direction-of-arrival (DOA) estimation and adaptive beamforming. The new insights into tensors and matrices create novel algebra techniques to pursuit super-resolution and its explicit performance guarantee. The emerging data-driven approaches on array signal processing forms a revolutionary upgradation from sensors to information. Nevertheless, there are still many fundamental theoretical and technical challenges for the practical sensor array applications, such as (a) the relations and substantial distinctions of the algorithm design on DOA estimation and adaptive beamforming under the sparse array signal processing circumstances, as well as the optimized array configuration and output performance; (b) the robust and efficient tensor-based and matrix-based signal processing techniques which will achieve better final performance; (c) the realistic implementation of machine learning to the fundamental problems in array signal processing, and the optimized training model design. Therefore, there is a pressing demand for developing innovative and efficacious array signal processing theories and techniques for future system implementation.

On the other hand, the Internet of Things (IoT), as an emerging technique, has brought us many opportunities today. However, more connected devices in IoT mean more attack vectors and more possibilities for adversaries to target us, and the IoT security challenges therefore cannot be ignored. Although many research efforts have been put into IoT security today, existing traditional security techniques, e.g., cryptographic encryption and authentication, are insufficient to solve all IoT security challenges, as IoT devices in unattended scenarios are easily compromised. Since array signal processing techniques owe their advantages to source detection, localization, and tracking, they can be utilized to provide intrusion detection and location-based IoT devices authentication. Therefore, the incorporation of sensor array and multichannel signal processing in IoT security contains huge research potential.

The goal of the Special Issue is to publish the most recent research results in sensor array and multichannel signal processing with its applications to IoT security. Review papers on this topic are also welcome. Topics of interest in this Special Issue include but are not limited to:

• Adaptive beamforming;
• Direction-of-Arrival estimation;
• Space–time adaptive processing;
• Tensor modeling and processing;
• Sparse array, MIMO array, and massive array;
• Compressive sensing and sparsity approaches;
• Off-grid and gridless solutions to super-resolution;
• Machine learning and data analytics for array signal processing;
• Array applications to radar, acoustics, wireless communications, industrial IoT;
• Array applications in security detection in IoT;
• Array applications in location-based authentication in IoT.

Dr. Rongxing Lu
Dr. Chengwei Zhou
Dr. Zhiguo Shi
Dr. Yujie Gu
Guest Editors

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