电子工程系

Department of Electronic Engineering 

 

Huadong MENG, Ph.D., Associate Professor

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Tel: +86-10-62773837

Fax: +86-10-62773837

Email: menghd[at]tsinghua.edu.cn

Lab Homepage: http://isl.ee.tsinghua.edu.cn

 

 

Education background

09/1999 – 07/2004Ph.D., Information and Communication and Engineering, Tsinghua University, Beijing, China.

09/1994 - 07/1999Bachelor of Engineering, Electronic Engineering, Tsinghua University, Beijing, China

 

 

 

Experience

12/2008 - present Associate Professor, Dept. of Electronic Engineering, Tsinghua Univ.

08/2004 - 12/2008Assistant Professor, Dept. of Electronic Engineering, Tsinghua Univ.

 

Concurrent Academic

Spring 2013 Fundamentals of Statistical Signal Processing, Undergraduate Course

2005 - 2012 Statistical Signal Processing, Graduate Course

2005 - 2007 Mathematical Application in Engineering, Undergraduate Course

 

 

 

Social service

IEEE Member.

TPC Member of IET International Radar Conference, April 2013.

Reviewer of IEEE Transactions on SP/IP/AES, IET Signal Processing, IET RSN, etc.

Reviewer of Chinese Journal of Electronics, Tsinghua Science and Technology.

 

Areas of Research Interests/ Research Projects

1. Statistical Signal Processing

(1) Signal processing for remote sensing

(2) Random Finite Set multi-target tracking

(3) Robust regression methods

2. Compressive Sensing and Sparse Recovery

(1) Sparse recovery for microwave imaging

(2) Adaptive Compressive Sensing

3. Wireless Localization and Navigation

(1) Theoretical accuracy bounds for localization and tracking

(2) Wireless positioning by Signals of Opportunity

 

Research Status

01/2010 – 12/2014 

Principal Investigator of Sub-project, National Basic Research Program of China (973 Program), “Fundamental Theory Research on Sparse Recovery-Based Microwave Imaging”.

The objective of the project is to establish the theory basis of a novel methodology of radar imaging. By exploiting the sparsity of signal and data, this kind of methods can achieve almost the same performance with the traditional method by using much less sampling data, memory volume and transmission energy.

01/2010 - 12/2012

Principle Investigator, National Natural Science Foundation of China, “Adaptive Waveform Design of Cognitive Radar for Optimal Target Detection and Estimation”.

In the basic issues of cognitive radar, adaptive waveform design is one of the most important and fundamental problems. This program plans to study on the fundamental theories and methods, and the corresponding radar system architecture and signal processing algorithms, aiming to the performance of target estimation and detection in unknown clutter. Also the constraints of practical systems are considered in this research for future applications.

01/2007 – 12/2008

Investigator, National High Technology Research and Development Program of China (863 Program), “Fusion System of Microwave Sensor and Camera for Traffic Flow Detection and Classification”.

Several sets of traffic flow sensors were developed, including microwave speed measuring system, video-based vehicle classification system, and their fusion system. By investigating the system which combines the advantages of both kinds of sensors, we exploit the scientific issues in multi-sensors data fusion and information fusion.

07/2010 – 07/2011

Principle Investigator, Agilent Core Technology – University Relationship Program, “Compressive Sensing Theory with Application to Space Time Adaptive Processing”.

By exploiting the intrinsic sparsity of the clutter distribution in the angle-Doppler domain, some new STAP algorithms based on sparse recovery (SR-STAP) is proposed to obtain super-resolution space-time spectrum with much less IID samples. In this project, we plan to simulate the processes of SR-STAP on the Systemvue platform, verify the whole method by simulation processes.

 

Honors And Awards

07/2013  Beijing Outstanding Young Scholars Program

07/2007  Tsinghua outstanding faculty member award

07/2004  Tsinghua excellent doctoral graduates (2/80)

10/1998  Tsinghua top grade scholarship (5/5000)

Academic Achievement

Publications – Journals

【Compressive Sensing and Sparse Recovery】

[1] T. Huang, Y. Liu, H. Meng, X. Wang, "Cognitive Random Stepped Frequency Radar with Sparse Recovery," IEEE Tran. on AES , to appear in April 2014.

[2] T. Huang, Y. Liu, H. Meng, X. Wang, "Adaptive Compressed Sensing via Minimizing Cramer-Rao Bound," IEEE Signal Processing Letters, vol.21, no.3, pp.270-274, 2014.

[3] C. Hu, Y. Liu, H.Meng, X.Wang, "Randomized Switched Antenna Array FMCW Radar for Automotive Applications", IEEE Trans. on VT, to appear. .

[4] X. Wang, J. Liu, H. Meng, Y. Liu, “Novel atomic decomposition algorithm for parameter estimation of multiple superimposed Gaussian chirplets,” IET RSN, vol.5, no.8, pp.854-861, Oct. 2011.

[5] K. Sun, H. Meng, F. Lapierre and X. Wang, “Registration-based compensation using sparse representation in conformal-array STAP,” Signal Processing, vol.91, no.10, pp.2268-2276, 2011.

[6] K. Sun, H. Meng, Y. Wang and X. Wang, “Direct data domain STAP using sparse representation of clutter spectrum,” Signal Processing, vol.91, no.9, pp.2222-2236, 2011.

[7] K. Sun, Y. Liu, H. Meng and X. Wang, “Adaptive Sparse Representation for Source Localization with Gain/Phase Errors,” Sensors, vol.11 , no.5 , pp.4780-4793, 2011.

[8] Wang Xi-Qin, Liu Jing-Yao, Meng Hua-Dong, Liu Yi-Min, “A method for radar emitter signal recognition based on time-frequency atom features,” J.Infrared Millim. Waves, vol.30, no.6, pp.566-570, 2011.

【Statistical Performance Bound of Estimation and Tracking】

[9] H. Meng, Z. Zhong, X. Wang, “Performance bounds of extended target tracking in cluttered environments,” Science China-Information Science, Vol. 56, No. 7, JUL 2013.

[10] H. Tong, H. Zhang, H. Meng, X. Wang, “The recursive form of error bounds for RFS state and observation with Pd<1.” IEEE Transaction on Signal Processing, Vol. 61, No. 10, Page(s): 2632 – 2646, 2013.

[11] H. Tong, H. Zhang, H. Meng and X. Wang, "A Comparison of Error Bounds for a Nonlinear Tracking System with Detection Probability Pd < 1." Sensors, vol.12, no.12, pp. 17390-17413, 2012.

[12] Z. Zhong, H. Meng, and X. Wang, “A comparison of posterior Cramer-Rao lower bounds for point and extended target tracking”, IEEE Signal Processing Letters, 2010, 17(10), 819-822.

[13] Z. Zhong, H. Meng, H. Zhang, and X. Wang, “Performance Bounds for Extended Target Tracking Using High Resolution Sensors”, Sensors, 2010, 10(12), 11618-11632.

[14] H. Meng, M. L. Hernandez, Y. Liu, and X. Wang, “Computationally Efficient PCRLB for Tracking in Cluttered Environments: Measurement Existence Conditioning Approach,” IET Signal Processing, vol. 3, no. 2, pp. 133-149, March 2009.

[15] H. Meng, X. Wang, H. Zhang, and Y. Peng, “An Approach Based on Influence Function to Evaluate Robustness and Detection Performance of CFAR Detectors,” in Proc. ICASSP, May 2004, vol. 2, pp. II1053-II1056.

【Statistical Signal Processing】

[16] H. Tong, H. Zhang, H. Meng, X. Wang, “A shrinkage probability hypothesis density filter for multi-target tracking,” EURASIP Journal on Advances in Signal Processing 2011, 2011:116.

[17] L. Wang, H. Zhang, H. Meng and X. Wang, “The Influence of Individual Driver Characteristics on Congestion Formation”, International Journal of Modern Physics C, Vol. 22, No. 3, pp.305-318, 2011.

[18] J. Liu, H. Meng, Y. Liu, and X. Wang, “Deinterleaving pulse trains in unconventional circumstances using multiple hypothesis tracking algorithm,” Signal Processing, vol. 90, no. 8, pp. 2581-2593, 2010.

[19] Y. M. Liu, H. D. Meng, H. Zhang, and X. Q. Wang, “Eliminating ghost images in high range resolution profiles for stepped-frequency train of LFM pulses,” IET RSN, vol. 3, no. 5, pp. 512-520, Oct. 2009.

[20] Y. Liu, H. Meng, G. Li, X. Wang, “Range-velocity estimation of multiple targets in randomised stepped-frequency radar,” Electronics Letters, pp1032-1034, 2008.

[21] G. Li, H. Meng, X. G. Xia, and Y. N. Peng, “Range and velocity estimation of moving targets using multiple stepped-frequency pulse trains,” Sensors, vol. 8, no. 2, pp. 1343-1350, 2008.

[22] L. Wang, H. Zhang, H. Meng, and X. Wang, “A model based on TTC to describe how drivers control their vehicles,” European Physical Journal B, vol. 66, no. 1, pp. 149-153, 2008.

[23] Y. J. Liu, H. D. Meng, D. S. Wang, and X. Q. Wang, “Adaptive staggering time estimation for target tracking in periodic nonuniform sampling system,” Electronics Letters, vol. 43, no. 24, pp. 1385-1387, Nov. 2007.

【Waveform Optimization】

[24] H. Meng, Y. Wei, X. Gong, Y. Liu, and X. Wang, “Radar Waveform Design for Extended Target Recognition under Detection Constraints,” Mathematical Problems in Engineering, vol. 2012, Article ID 289819, 15 pages, 2012.

[25] X. Gong, H. Meng, Y. Wei, and X. Wang, “Phase-modulated Waveform Design Using Maximum Mutual Information Criterion,” Chinese Journal of Electronics, vol. 21, no. 1, pp. 190-194, 2012.

[26] X. Gong, H. Meng, Y. Wei, and X. Wang, “Phase-Modulated Waveform Design for Extended Target Detection in the Presence of Clutter,” Sensors, vol. 11, no. 7, pp. 7162-7177, 2011.

[27] Y. Wei, H. Meng, Y. Liu and X. Wang, “Extended target recognition in cognitive radar networks,” Sensors, vol. 10, no. 11, pp. 10181-10197, Nov. 2010.