戚晨皓

发布者:蔡媛媛发布时间:2018-04-23浏览次数:1116

职称:副教授

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

详见

获奖情况:

1、IEEE   Communications Letters Exemplary Reviewer

2、南京自然科学优秀学术论文奖,二等奖

3、江苏军民结合科技创新奖,三等奖

4、南京市科学技术进步奖,二等奖

5、中国轻工业联合会科学技术进步奖,二等奖

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]Wenyan Ma, and Chenhao Qi, Beamspace Channel Estimation for Millimeter Wave   Massive MIMO System with Hybrid Precoding and Combining, IEEE Transactions on Signal Processing, 2018.

[2]Chenhao Qi, and Wang   Xin, Precoding Design for Energy Efficiency of Multibeam Satellite   Communications, IEEE Communications   Letters, 2018.

[3]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.

[4]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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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.

[13]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)

[14]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.

[15]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.

[16]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.

[17]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.

[18]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.

[19]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.

[20]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.

[21]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.

[22]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.

[23]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.

[24]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.

[25]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.

[26]Man Feng, Lenan Wu, Jiajia Ding and Chenhao Qi. BER Analysis and   Verification of EBPSK System in AWGN channel. IEICE Transactions on Communications. Vol.E94-B, No.3, pp.806-809,   March 2011.

[27]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.

[28]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.

[29]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.

[30]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.

[31]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.

[32]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.

[33]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.

[34]Man Feng, Chenhao Qi, and Lenan Wu. Analysis and Optimization of Power   Spectrum on EBPSK Modulation in Throughput-efficient Wireless System. Journal of Southeast University (English   Edition). Vol.24, No.2, pp.143-148, June 2008.

[35]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.

[36]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.

[37]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.

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

[2]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.

[3]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.

[4]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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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.

[13]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.

[14]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

24

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

20

XX系统技术

国防预研项目(国家级)

2016.12-2020.9

应用基础研究

240

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

80

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

45

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

4

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

10

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

20

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

10

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

5

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

5

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

3

专利:

专利号

专利名称

专利类型

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 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

美国专利申请

EP3068065

Pilot frequency   arrangement determination method and base station

欧洲专利申请

WO2015196384A1

Joint sparse channel   estimation method, device and system

PCT国际专利申请

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

发明专利申请

201610322009.3

一种多小区大规模MIMO系统导频分配方法

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