国产亚洲AV自拍|av中文字幕一区|资源在线观看一区二区|亚洲影视久久亚洲特级性交|一级做一级a做片爱免费观看|欧美另类亚洲色婷婷精品无码|亚洲青青草免费一区|青青草免费成人网|91久久国内视频|五月天丁香久久

Call for Papers - Sensors - Recent Advances in Array Signal Processing and its Applications in IoT Security
來源: Chengwei Zhou/
浙江大學(xué)
2566
4
0
2017-01-19

Sensors雜志,SCI期刊,影響因子2.033,審稿時間短,可隨時投稿,收錄及時,歡迎各位同行踴躍投稿!

Special Issue:Recent Advances in Array Signal Processing and its Applications in IoT Security

詳情查看:http://www.mdpi.com/journal/sensors/special_issues/signal_processing_IoT


Special Issue Information

Dear Colleagues,

In past few years, there were several exciting breakthroughs in the field of array signal processing, which are promising to expand its applications in radar, sonar, wireless communications, acoustics, seismology, medical imaging, and radio astronomy. Specifically, nested array and coprime array provide a systematic framework for sparse sampling and array configuration with increased degrees-of-freedom (DOFs). The gridless sparse methods for direction-of-arrival (DOA) estimation stimulate the new research interests by solving an atomic/nuclear norm minimization problem. The adaptive beamformer can obtain the near optimal output performance by reconstructing the interference covariance matrix. Nevertheless, there are still many fundamental theoretical and technical challenges for the practical array application, such as (a) the upper bound of DOFs for any arbitrary number of sensors by optimizing the array geometry; (b) more robust and efficient array calibration methods which will achieve better final performance; (c) more computationally efficient gridless sparse methods for DOA estimation by exploiting the continuous compressive sensing. Hence, there is a pressing demand for developing innovative and efficacious signal processing algorithms for future array configuration and system implementation. In addition, the Internet of Things (IoT), as an emerging technique, has brought us many opportunities nowadays. However, more connected devices in IoT mean more attack vectors and more possibilities for adversaries to target us, IoT security challenges therefore cannot be ignored. Although many research efforts have been put on 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. Because array signal processing has its advantages in source detection and localization, it might be used for intrusion detection and location based IoT devices authentication. Therefore, there is a huge research potential of array signal processing in IoT security.

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

  • Coprime array signal processing

  • Sparse array design

  • Source enumeration and DOA estimation

  • MIMO array and massive array

  • Adaptive beamforming

  • Array calibration and decoupling

  • Space-time adaptive processing (STAP)

  • Tensor modeling and processing

  • Array applications to radar, sonar, microphone, wireless communications

  • Array applications in security detection in IoT

  • Array applications in location-based authentication in IoT

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



登錄用戶可以查看和發(fā)表評論, 請前往  登錄 或  注冊。
SCHOLAT.com 學(xué)者網(wǎng)
免責(zé)聲明 | 關(guān)于我們 | 聯(lián)系我們
聯(lián)系我們: