戚晨皓

时间:2018-04-23浏览:8201

职称:副教授、博导

办公室:南京市玄武区四牌楼二号东南大学健雄院217

办公电话:025-83792443

Emailqch@seu.edu.cn

学习经历:

20009-20046月,东南大学,强化班(现吴健雄学院),信息工程专业,本科

20049-20106月,东南大学,信号与信息处理专业,博士(硕博连读)

20089-20101月,美国哥伦比亚大学,电子工程专业,国家留学基金委联合培养博士生

工作经历:

20108-20143月,东南大学,信息科学与工程学院,讲师

20144-至今,东南大学,信息科学与工程学院,副教授

教授课程:

04020204,数字信号处理(秋季,本科生专业主干课,48学时,3学分)

04030614,国外电子信息工程专业基础(全英文)(春季,本科生通选课,32学时,2学分)

B004102,通信中的联合信息处理(春季,博士生课程,36学时,2学分)

S004216,通信信号处理(春季,研究生课程,36学时,2学分)

研究方向:

5G/B5G无线通信、人工智能、机器学习、卫星通信、水声通信、雷达信号处理、稀疏信号处理

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获奖情况:

1、IEEE   Communications Letters Exemplary Editor

2、IEEE   Access Outstanding Associate Editor

3、教育部高等学校科学研究技术发明奖,二等奖

4、IEEE   Communications Letters Exemplary Reviewer

5、南京市第十二届自然科学优秀学术论文奖,二等奖

6、中国轻工业联合会科学技术进步奖,二等奖

7、江苏军民结合科技创新奖,三等奖

8、南京市科学技术进步奖,二等奖

9、江苏省轻工业技术进步奖,三等奖

论文著作:

已发表学术论文80余篇,特别是5G无线信道估计方面的工作受到知名SCI期刊Electronics Letters的人物专访报道。担任国际权威SCI期刊IEEE Communications   LettersIEEE Access编委。

期刊论文:

[1]Kangjian Chen, Chenhao Qi and Geoffrey Ye Li, Two-Step Codeword Design for   Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters, IEEE Transactions on Signal Processing,   2019.

[2]Xuyao Sun, Chenhao   Qi and Geoffrey Ye Li, Beam Training and Allocation for Multiuser   Millimeter Wave Massive MIMO Systems, IEEE   Transactions on Wireless Communications, Vol.18, No.2, pp.1041-1053, Feb.   2019.

[3]Xuyao Sun and Chenhao Qi, Codeword Selection and Hybrid Precoding for Multiuser   Millimeter Wave Massive MIMO Systems, IEEE   Communications Letters, Vol.23, No.2, pp.386-389, Feb. 2019.

[4]Jun Tao, Chenhao   Qi and Yongming Huang, Regularized Multipath Matching Pursuit for Sparse   Channel Estimation in Millimeter Wave Massive MIMO System, IEEE Wireless Communications Letters,   Vol.8, No.1, pp.169-172, Feb. 2019.

[5]Kangjian Chen and Chenhao Qi, Beam Training based on Dynamic Hierarchical Codebook   for Millimeter Wave Massive MIMO, IEEE   Communications Letters, Vol.23, No.1, pp.132-135, Jan. 2019.

[6]Shiwen He, Chenhao   Qi, Yongming Huang, Qi Hou and Arumugam Nallanathan, Two-level   Transmission Scheme for Cache-enabled Fog Radio Access Networks, IEEE Transactions on Communications,   Vol.67, No.1, pp.445-456, Jan. 2019.

[7]Miao Pu, Bingcheng Zhu, Chenhao Qi, Yi Jin and Chong Lin A Model-Driven Deep Learning   Method for LED Nonlinearity Mitigation in OFDM-based Optical Communications, IEEE Access, Vol.7, No.1,   pp.71436-71446, Dec.2019.

[8]Wenyan Ma and Chenhao Qi, Beamspace Channel Estimation for Millimeter Wave   Massive MIMO System with Hybrid Precoding and Combining, IEEE Transactions on Signal Processing, Vol.66, No.18,   pp.4839-4853, Sep. 2018.

[9]Peng Chen, Chenhao   Qi, Lenan Wu and Xianbin Wang, Waveform Design for Kalman Filter-Based   Target Scattering Coefficient Estimation in Adaptive Radar System, IEEE Transactions on Vehicular Technology,   Vol.67, No.12, pp.11805-11817, Dec. 2018.

[10]Chenhao   Qi and Wang Xin,   Precoding Design for Energy Efficiency of Multibeam Satellite Communications,   IEEE Communications Letters,   Vol.22, No.9, pp.1826-1829, Sep. 2018.

[11]Pu Miao, Chenhao   Qi, Lanting Fang, Kang Song and Qingkai Bu, Deep clipping noise   mitigation using ISTA with the specified observations for LED-based DCO-OFDM   system, IET Communications, Vol.12,   No.20, pp.2582-2591, Nov. 2018.

[12]Wenyan Ma and Chenhao Qi, Channel Estimation for 3-D Lens Millimeter Wave   Massive MIMO System, IEEE   Communications Letters, Vol.21, No.9, pp.2045-2048, Sep. 2017.

[13]Yuhan Sun, and Chenhao Qi. Weighted Sum-Rate Maximization for Analog Beamforming   and Combining in Millimeter Wave Massive MIMO Communications, IEEE Communications Letters, Vol.21,   No.8, pp.1883-1886, Aug. 2017.

[14]Peng Chen, Chenhao   Qi and Lenan Wu, Antenna Placement Optimization for Compressed   Sensing-Based Distributed MIMO Radar, IET   Radar, Sonar & Navigation, Vol.11, No.2, pp.285-293, Apr. 2017.

[15]Peng Chen, Chenhao   Qi, Lenan Wu and Xianbin Wang, Estimation of Extended Targets Based on   Compressed Sensing in Cognitive Radar System, IEEE Transactions on Vehicular Technology, Vol.66, No.2,   pp.941-951, Feb. 2017.

[16]Zhen Gao, Linglong Dai, Chenhao Qi, Chau Yuen, and Zhaocheng Wang. Near-Optimal Signal   Detector Based on Structured Compressive Sensing for Massive SM-MIMO, IEEE Transactions on Vehicular Technology,   Vol.66, No.2, pp.1860-1865, Feb. 2017.

[17]Shiwen He, Chenhao   Qi, Yongpeng Wu and Yongming Huang, Energy-Efficient Transceiver Design   for Hybrid Sub-Array Architecture MIMO Systems, IEEE Access, Vol.4, pp.9895-9905, Jan. 2017.

[18]Shiwen He, Yongming Huang, Yanru Shi, Chenhao Qi, Shi Jin, and Luxi Yang,   Coordinated Multicell Beamforming for Massive MIMO Systems Based on   Uplink-Downlink Duality, IET   Communications, Vol.10, No.17, pp.2380-2390, Nov. 2016.

[19]Shiwen He, Yongming Huang, Ying Lu, Chenhao Qi, and Luxi Yang. Resource   Efficiency: A New Beamforming Design for Multicell Multiuser Systems, IEEE Transactions on Vehicular Technology,   Vol.65, No.8, pp.6063-6074, Aug. 2016.

[20]Peng Chen, Lenan Wu, and Chenhao Qi. Waveform Optimization for Target Scattering   Coefficients Estimation under Detection and Peak-to-Average Power Ratio   Constraints in Cognitive Radar, Circuits,   Systems and Signal Processing, Vol.35, No.1, pp.163-184, Jan. 2016.

[21]Chenhao   Qi, Lenan Wu, Yongming   Huang, and A. Nallanathan. Joint Design of Pilot Power and Pilot Pattern for   Sparse Cognitive Radio Systems, IEEE   Transactions on Vehicular Technology, Vol.64, No.11, pp.5384-5390, Nov.   2015.

[22]Chenhao   Qi, Arumugam Nallanathan,   and Lenan Wu. Joint Optimization of Secret Key Capacity and Sparse Channel   Estimation based on Pilot Power Allocation,   Electronics Letters, Vol.51, No.13, pp.1033-1035, June 2015.

[23]Chenhao   Qi, Yongming Huang, and   Shi Jin. An Overview of Massive MIMO System, Journal of Data Acquisition and Processing (in Chinese), Vol.30,   No.3, pp.544-551, May 2015.(Invited)

[24]Chenhao   Qi, Guosen Yue, Lenan Wu,   Yongming Huang and A. Nallanathan. Pilot Design Schemes for Sparse Channel   Estimation in OFDM Systems, IEEE   Transactions on Vehicular Technology, Vol.64, No.4, pp.1493-1505, Apr.   2015.

[25]Chenhao   Qi and Lenan Wu. Uplink   Channel Estimation for Massive MIMO Systems Exploring Joint Channel Sparsity.   Electronics Letters, Vol.50, No.   23, pp.1770-1772, Nov. 2014.

[26]Chenhao   Qi. Interview:“By   exploring the joint sparsity of the uplink channel, the pilot overhead can be   substantially reduced”, Electronics   Letters, Vol.50, No. 23, pp.1650, Nov. 2014.

[27]Chenhao   Qi, Lenan Wu, and   Pengcheng Zhu. Sparse Channel Estimation and Pilot Optimization for Cognitive   Radio. Journal of Electronics &   Information Technology (in Chinese), Vol. 36, No.4, pp. 763-768, Apr.   2014.

[28]Chenhao   Qi, Guosen Yue, Lenan Wu   and A. Nallanathan. Pilot Design for Sparse Channel Estimation in OFDM-Based   Cognitive Radio Systems, IEEE   Transactions on Vehicular Technology, Vol.63, No.2, pp.982-987, Feb.   2014.

[29]Chenhao   Qi and Lenan Wu. Sparse   Channel Estimation for Wavelet-based Underwater Acoustic Communications. Transactions on Emerging   Telecommunications Technologies, Vol.23, No.8, pp.764-776, Dec. 2012.

[30]Geng Wei, Lenan Wu, Shuihua Wang, and Chenhao Qi. Fast Mode Selection for   H.264 Video Coding Standard based on Motion Region Classification. Multimedia Tools and Applications,   Vol.58, No.3, pp.453-466, June 2012.

[31]Chenhao   Qi and Lenan Wu. A Study   of Deterministic Pilot Allocation for Sparse Channel Estimation in OFDM   Systems. IEEE Communications Letters,   Vol.16, No.5, pp.742-744, May 2012.

[32]Wei Ke, Lenan Wu, and Chenhao Qi. Spring-Model-Based Wireless Localization in   Cooperative User Environments. IEICE   Transactions on Communications, Vol.E95-B, No.5, pp.1860-1863, May 2012.

[33]Chenhao   Qi and Lenan Wu.   Tree-based backward pilot generation for sparse channel estimation. Electronics Letters, Vol.48, No.9,   pp.501-503, Apr. 2012.

[34]Chenhao   Qi and Lenan Wu.   Optimized pilot placement for sparse channel estimation in OFDM systems. IEEE Signal Processing Letters.   Vol.18, No.12, pp.749-752, Dec. 2011.

[35]Chenhao   Qi, Xiaodong Wang and   Lenan Wu. Underwater Acoustic Channel Estimation based on Sparse Recovery   Algorithms. IET Signal Processing.   Vol.5, No.8, pp.739-747, Dec. 2011.

[36]Chenhao   Qi and Lenan Wu.   Application of Compressive Projection Principal Component Analysis to MIMO   Channel Feedback Scheme. IEICE   Transactions on Fundamentals. Vol.E93-A, No.11, pp.2193-2195, Nov. 2010.

[37]Chenhao   Qi and Lenan Wu. Digital   broadcast channel estimation with compressive sensing. Journal of Southeast University (English Edition).Vol.26, No.3,   pp.389-393, Sep. 2010.

[38]Chenhao   Qi and Lenan Wu. Sparse   Recovery Algorithms for Pilot Assisted MIMO OFDM Channel Estimation. IEICE Transactions on Communications.   Vol.E93-B, No.5, pp.1313-1316, May 2010.

[39]Chenhao   Qi, Guoqiang Chen, and   Lenan Wu. Phase Error Analysis on EBPSK Carrier Synchronization. Journal of Electronics & Information   Technology (in Chinese). Vol. 31, No.9, pp.2166-2170, Sep. 2009.

[40]Chenhao   Qi and Lenan Wu. PLL   Demodulation Technique for M-ary Position Phase Shift Keying. Journal of Electronics China. Vol.26,   no.3, pp. 289-295, May 2009.

[41]Chenhao   Qi, Guoqiang Chen, and   Lenan Wu. EBPSK Demodulation Analysis Based on Second-order Phase Locked   Loop. Journal of Electronics &   Information Technology (in Chinese). Vol. 31, No.2, pp.418-421, Feb.   2009.

[42]Chenhao   Qi and Lenan Wu. Comments   on “On the Combining of the Amplitude and Phase Modulation in the Same   Signal”. IEEE Transactions on   Broadcasting. Vol.54, No.3, pp.489, Sep. 2008.

[43]Chenhao   Qi and Lenan Wu. PSD   Optimization for Orthogonal UBSK Modulated Signal. Chinese Journal of Radio Science (in Chinese). Vol.23, No.5,   pp.965-970, May 2008.

[44]Chenhao   Qi and Lenan Wu. Power   Spectrum Density Analysis on AM Broadcasting Using Hybrid Modulation. Journal of Applied Science (in Chinese).   Vol.25, No.6, pp.583-588, June 2007.

[45]Chenhao   Qi, Lenan Wu, and Shiyuan   Zhang. AM Broadcasting Scheme Based on Compound Modulation. Journal of Applied Science (in Chinese).   Vol.25, No.5, pp.451-455, May 2007.

[46]Chenhao   Qi, Liang Chen, and Lenan   Wu. Progress and Key Techniques in Digital Mobile Multimedia Broadcasting. Video Engineering (in Chinese).Vol.31,   No.6, pp.30-33, June 2007.

会议论文:

[1]Kangjian Chen, Chenhao Qi,Multiuser Beam Training using Adaptive   Hierarchical Codebook for mmWave Massive MIMO, 2019 IEEE Global Communications Conference (GlobeCOM), Waikoloa,   Hawaii, USA, Dec. 2019.

[2]Wenyan Ma and Chenhao Qi, ESPRIT-based Channel Estimation for   Frequency-Selective Millimeter Wave Massive MIMO System, 2019 IEEE International Conference on   Communications (ICC), Shanghai, China, May 2019, pp.1-6.

[3]Xuyao Sun and Chenhao Qi, Multiuser Beam Allocation for Millimeter Wave Massive   MIMO Systems, 2019 IEEE International   Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6.

[4]Huajian Chen and Chenhao Qi, User Grouping for Sum-rate Maximization in Multiuser   Multibeam Satellite Communications, 2019 IEEE   International Conference on Communications (ICC), Shanghai, China, May   2019, pp.1-6.

[5]Kangjian Chen and Chenhao Qi, Beam Design with Quantized Phase Shifters for   Millimeter Wave Massive MIMO, 2018 IEEE   Global Communications Conference (GlobeCOM), Abu Dhabi, UAE, Dec. 2018,   pp.1-6.

[6]Zhikang Xia, Chenhao Qi and Tengxiang Zhang, Model based Beamspace Channel   Estimation for Millimeter Wave Massive MIMO System, The Tenth International Conference on Wireless Communications and   Signal Processing (WCSP), Hangzhou, China, Oct. 2018, pp.1-6.

[7]Wenyan Ma, Chenhao   Qi, Over-sampled Beamspace Channel Estimation for Millimeter Wave Massive   MIMO, 2018 IEEE International   Conference on Communications (ICC), Kansas City, USA, May 2018, pp.1-6.

[8]Yuhan Sun, Chenhao   Qi. Analog Beamforming and Combining Based on Codebook in Millimeter Wave   Massive MIMO Communications, 2017 IEEE   Global Communications Conference (GlobeCOM), Singapore, Dec. 2017,   pp.1-6.

[9]Huajian Chen, Chenhao Qi. Group Bayesian Sparse Channel Estimation for Massive   MIMO Systems, 2017 IEEE Global   Communications Conference (GlobeCOM), Singapore, Dec. 2017, pp.1-6.

[10]Huajian Chen, Chenhao Qi. Underwater Acoustic Channel Estimation via Fast   Bayesian Matching Pursuit, The Ninth   International Conference on Wireless Communications and Signal Processing   (WCSP), Nanjing, China, Oct. 2017, pp.1-6.

[11]Xin Wang, Chenhao   Qi. Algorithm for Modeling Dual-Polarized MIMO Channel in Land Mobile   Satellite Communications, The Ninth   International Conference on Wireless Communications and Signal Processing   (WCSP), Nanjing, China, Oct. 2017.

[12]Pu Miao, Chenhao   Qi, Lenan Wu, Bingcheng Zhu, Kangjian Chen. Compressed Sensing for   Clipping Noise Cancellation in DCO-OFDM Systems Based on Observation   Interference Mitigation, The Ninth   International Conference on Wireless Communications and Signal Processing   (WCSP), Nanjing, China, Oct. 2017.

[13]Chenhao   Qi, Xin Wang, Yongming   Huang. Selection of Nonzero Taps for Sparse Linear Equalizer. IEEE 83rd Vehicular Technology Conference   (VTC-Spring 2016), pp.1-5, Nanjing, China, May 2016.

[14]Chenhao   Qi, Yongming Huang, Shi   Jin and Lenan Wu. Sparse Channel Estimation Based on Compressed Sensing for   Massive MIMO Systems. IEEE   International Conference on Communications (ICC 2015), pp.4558-4563,   London, June 2015.

[15]Chenhao   Qi and Lenan Wu.   Comparisons of Channel Estimation for OFDM-based and Wavelet-based Underwater   Acoustic Communications. IEEE Wireless   Communications and Networking Conference (WCNC 2013), pp.2920-2925,   Shanghai, Apr. 2013.

[16]Chenhao   Qi, Lenan Wu and Xiaodong   Wang. Underwater Acoustic Channel Estimation via Complex Homotopy. IEEE International Conference on   Communications (ICC 2012), pp. 3821-3825, Ottawa, June 2012.

[17]Chenhao   Qi and Lenan Wu. A hybrid   compressed sensing algorithm for sparse channel estimation in MIMO OFDM   systems. IEEE 36th International   Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011),   pp.3488-3491, Prague, May 2011.

[18]Chenhao   Qi and Lenan Wu.   Application of Compressed Sensing to DRM Channel Estimation. IEEE 73rd Vehicular Technology Conference   (VTC-Spring 2011), pp.1-5, Budapest, May 2011.

[19]Chenhao   Qi and Lenan Wu. Hybrid   Modulation for AM Broadcasting. The   Third International Conference on Natural Computation (ICNC 2007), Vol.2,   pp.436-440, Aug. 2007.

[20]Chenhao   Qi, Man Feng, and Lenan   Wu. Analysis of Transmission System Based on Phase Locked Loop. The Third International Conference on   Natural Computation (ICNC 2007), Vol.2, pp.415-419, August 2007.

科研项目:

项目名称

项目类别

项目时间

工作类别

项目金额

大规模MIMO系统中信道估计与导频设计研究

国家自然科学基金项目

2014.01-2016.12

应用基础研究

XX

多用户毫米波大规模MIMO系统的波束训练与混合波束成形

国家自然科学基金项目

2019.1-2019.12

应用基础研究

XX

卫星XX理论与技术研究

国防预研基金(国家级)

2015.8-2017.8

前沿技术研究

XX

XX系统技术

国防预研项目(国家级)

2016.12-2020.9

应用基础研究

XX

FDD   LTE-Advanced系统试验设备开发

国家科技重大专项

2012.1-2013.12

应用基础研究

XX

5G热点高容量场景组网技术与试验系统研发

国家科技重大专项

2016.1.1-2017.12.31.

应用基础研究

XX

基于压缩感知的OFDM信道估计理论与关键技术研究

教育部博士点基金

2013.1-2015.12

应用基础研究

XX

水声通信中的稀疏信号处理理论与技术研究

江苏省自然科学基金(面上项目)

2016.7-2019.6

应用基础研究

XX

压缩感知算法及其在无线信道估计中的应用研究

华为创新研究计划(HIRP

2012.1-2013.12

产学研

XX

毫米波MIMO通信物理层技术研究

中兴通讯产学研合作项目

2019.8-2020.8

产学研

XX

卫星XXX

上海航天科技创新基金项目

2016.7-2018.7

应用基础研究

XX

星载XXX

中国空间技术研究院创新基金

2010.12-2011.12.

应用基础研究

XX

大数据传输中的稀疏性研究

厅局级项目

2016.1-2017.12.

应用基础研究

XX

通过调幅广播发送的农情信息服务系统

横向项目

2012.11-2013.11.

产学研

XX

深度学习关键技术及应用研究

横向项目

2019.1-2020.12

应用基础研究

XX

专利:

专利号

专利

专利类型

ZL   201610592999.2

可生成导频的交织单元及无线通信数据发送、接收装置

发明专利授权

ZL 201610322009.3

一种多小区大规模MIMO系统导频分配方法

发明专利授权

ZL   201410282949.5

一种联合稀疏信道估计方法、装置及系统

发明专利授权

ZL   201310687413.7

一种导频排布确定方法及基站

发明专利授权

ZL   201210352607.7

认知无线电中基于稀疏信道估计的导频设计方法

发明专利授权

ZL   201210350713.1

稀疏信道的导频优化方法、装置和信道估计方法

发明专利授权

US20160294525A1

Method   for determining pilot arrangement and base station

美国专利授权

EP3068065

Pilot   frequency arrangement determination method and base station

欧洲专利授权

WO2015196384A1

Joint   sparse channel estimation method, device and system

PCT国际专利

WO2014044042A1

Pilot   frequency optimizing method, apparatus and channel estimating method for   sparse channel,

PCT国际专利

WO2015085820A1

Pilot   frequency arrangement determination method and base station

PCT国际专利

201910609278.1

一种基于深度学习的毫米波信道波束训练方法

发明专利申请

201910477000.3

一种毫米波通信的混合预编码结构、混合合并结构及方法

发明专利申请

201811569312.9

一种多波束卫星通信系统用户分组的方法及其装置

发明专利申请

201811553452.7

一种毫米波通信码本设计方法

发明专利申请

201811324848.4

一种毫米波通信多径信道动态波束训练方法

发明专利申请

201710413002.7

毫米波通信的十字形信道估计方法、装置及系统

发明专利申请

201710717443.6

多用户毫米波通信系统的波束分配方法及其装置和系统

发明专利申请