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空天论坛(2019):单载波线性调制信号在平坦衰落信道上的BMC


浏览: 发布时间:2019-12-03 23:35:45 作者: 来源:万象城娱乐

主讲人 Sudhan Majhi 题目 The BMC for linearly modulated signals of single-carrier systems over a flat fading channel

本次空天论坛邀请Indian Institute of Technology PatnaSudhan Majhi副教授,与我校师生共同探讨单载波线性调制信号在平坦衰落信道上的BMC。具体安排如下,欢迎感兴趣的师生参加。

   一、主 题:The BMC for linearly modulated signals of single-carrier systems over a flat fading channel

   二、主讲人:新加坡南洋理工大学  Sudhan Majhi副教授

   三、时 间:2019925日(周三)9:00-11:00

   四、地 点:清水河校区研究院大楼202

   五、主持人:万象城娱乐 阎啸 副教授

   六、内容简介:

        Dr. Sudhan Majhi will introduce his research on the BMC for linearly modulated signals of single-carrier systems over a flat fading channel. A six-class of modulation classification problem including binary phase-shift keying (BPSK), quadrature PSK (QPSK), offset-QPSK (OQPSK), pi/4-QPSK, minimum shift keying (MSK), and 16-quadrature amplitude modulation (16-QAM) will be presented. The proposed BMC method is based on the combination of cumulant and cyclic cumulant. The cumulant is used to decide whether the constellations are from real, circular or rectangular class, which is referred to as macro classifier. The cyclic cumulant is used to classify modulation within a subclass, which is referred to as micro classifier.  In the second problem, a tree-based BMC algorithm for multiple-input multiple-output (MIMO) systems over frequency-selective fading channels will be presented which classifies many of the linearly modulated signals, such as BPSK, QPSK, OQPSK, pi/4-QPSK, 8-PSK, MSK, and 16-QAM modulation formats. Classification is performed by utilizing the combined properties of the correlation functions, cyclic cumulant, and cumulant. In the last, a BMC algorithm for linearly modulated signals of OFDM systems will be presented. The performance of the proposed BMC algorithms are analyzed and compared with existing methods via Monte Carlo simulations. Finally, all the work are validated by providing an experimental setup on NI hardware for an indoor propagation environment.

   七、主讲人简介:

          Dr. Sudhan Majhi is presently working as an Associate Professor in the Department of Electrical Engineering. He has obtained his PhD in wireless communications from the school of computer engineering, Nanyang Technological University (NTU), Singapore. He has also obtained M.Tech. in computer science and data processing(CSDP) from Indian Institute of Technology, Kharagpur (IIT-KGP), India. He has completed his BSc and MSc in Mathematics from Vidyasagar University, India. He was a postdoctoral research fellow in University of Michigan, Dearborn, USA.He did his second postdoctoral from Institute of Electronics and Telecommunications, Rennes, France. He did his third postdoctoral from Electrical and Electronic Engineering, NTU, Singapore. He is a fellow of Sir Visvesvaraya Young Faculty Research. He is an Editor of IEEE Transactions on Vehicular Technology Journal and a senior editor of IEEE Communications Letters. He was a visiting guest faculty of the University of Melbourne, Australia. He was also short term visiting researcher of University of Michigan Dearborn, SUTD, NTU. He is a keynote speaker of several conferences and an invited speaker of several universities in India and abroad. His research interest includes signal processing for wireless communication which includes blind synchronization and parameter estimation, modulation classification, cooperative communications, physical layer security, cognitive radio, NOMA, mmWAVE, D2D, V2V, and M2M communication, sequence design and coding technique, OFDM, MIMO, SC-FDMA, and MIMO-OFDM.

 

 

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