Biography
Dr. Yimin D. Zhang is an Associate Professor at the Department of Electrical and Computer Engineering, and the director of the Advanced Signal Processing Lab. He earned his Ph.D. in Engineering from the University of Tsukuba, Japan. Prior to joining Temple University, he was a research professor at the Center for Advanced Communications, Villanova University, where he directed the Wireless Communications and Positioning Lab and the Radio Frequency Identification (RFID) Lab. His general research interests lie in the areas of statistical signal and array processing, time-frequency analysis, compressive sensing, and convex optimization for applications in wireless communications, radar, satellite navigation, and assisted living. Dr. Zhang has been a Principal Investigator and Co-Principal Investigator of more than $6M grants and contracts from the National Science Foundation (NSF), the Air Force Research Lab (AFRL), the Office of Naval Research (ONR), and the Defense Advanced Research Project Agency (DARPA). Dr. Zhang has authored and coauthored more than 300 journal and conference papers and 14 book chapters. He is an associate editor for the IEEE Transactions on Signal Processing, an editor for the Signal Processing journal, a member of both the Sensor Array and Multichannel Signal Processing (SAM) Technical Committee of the IEEE Signal Processing Society, and a member of the Signal Processing Theory and Methods (SPTM) Technical Committee of the IEEE Signal Processing Society. He is a Fellow of IEEE and a Senior Member of SPIE. He received the 2016 IET Radar, Sonar and Navigation Premium Award, the 2017 IEEE Aerospace and Electronic Systems Society Harry Rowe Mimno Award, and coauthored a paper that received the 2018 IEEE Signal Processing Society Young Author Best Paper Award.
Research Interests
- Statistical Signal and Array Processing
- Radar Signal Processing
- Wireless Communications
- Satellite Navigation
- Radio Frequency Identification (RFID)
- Target Localization and Tracking
- Adaptive and Robust Beamforming
- Convex Optimization
- Compressive Sensing
- Sparse Array
- Sparse Sampling.
Courses Taught
Number | Name | Level |
|---|---|---|
ECE 4512 | Analog and Digital Communications | Undergraduate |
ECE 4513 | Analog and Digital Communications Laboratory | Undergraduate |
ECE 4513 | Digital Communication Systems Laboratory | Undergraduate |
ENGR 2013 | Engineering Analysis and Applications Lab | Undergraduate |
ECE 5512 | Introduction to Digital Communications | Graduate |
ECE 5562 | Wireless Communications Engineering | Graduate |
ECE 9514 | Adaptive Signal Processing | Graduate |
Selected Publications
Recent
Bai, H., Hong, C., Li, S., Zhang, Y.D., & Li, X. (2022). Unit-norm tight frame-based sparse representation with application to speech inpainting. DIGITAL SIGNAL PROCESSING, 123. 10.1016/j.dsp.2022.103426
Zhang, S., Pavel, M., & Zhang, Y. (2022). Crossterm-free time-frequency representation exploiting deep convolutional neural network. Signal Processing, 192. doi: 10.1016/j.sigpro.2021.108372.
Zhang, Y.D., Ahmed, A., & Himed, B. (2022). Target Altitude Estimation in Over-the-Horizon Radar. IEEE ACCESS, 10, 11260-11273. 10.1109/ACCESS.2022.3145023
Mao, Z., Liu, S., Zhang, Y.D., Han, L., & Huang, Y. (2022). Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray. IEEE TRANSACTIONS on SIGNAL PROCESSING, 70, 2576-2592. 10.1109/TSP.2022.3173150
Ahmed, A., Zhang, Y., & Hassanien, A. (2021). Joint radar-communications exploiting optimized ofdm waveforms. Remote Sensing, 13(21). doi: 10.3390/rs13214376.
Liu, S., Mao, Z., Zhang, Y., & Huang, Y. (2021). Rank Minimization-Based Toeplitz Reconstruction for DoA Estimation Using Coprime Array. IEEE Communications Letters, 25(7), 2265-2269. doi: 10.1109/LCOMM.2021.3075227.
Sun, S. & Zhang, Y. (2021). 4D Automotive Radar Sensing for Autonomous Vehicles: A Sparsity-Oriented Approach. IEEE Journal on Selected Topics in Signal Processing, 15(4), 879-891. doi: 10.1109/JSTSP.2021.3079626.
Ahmed, A. & Zhang, Y. (2021). Generalized Non-Redundant Sparse Array Designs. IEEE Transactions on Signal Processing, 69, 4580-4594. doi: 10.1109/TSP.2021.3100977.
Zhang, S., Ahmed, A., Zhang, Y., & Sun, S. (2021). Enhanced DOA Estimation Exploiting Multi-Frequency Sparse Array. IEEE Transactions on Signal Processing, 69, 5935-5946. doi: 10.1109/TSP.2021.3122292.
Ahmed, A., Zhang, S., & Zhang, Y. (2020). Antenna selection strategy for transmit beamforming-based joint radar-communication system. Digital Signal Processing: a Review Journal, 105. doi: 10.1016/j.dsp.2020.102768.
Qin, S., Zhang, Y., & Amin, M. (2020). Improved two-dimensional DOA estimation using parallel coprime arrays. Signal Processing, 172. doi: 10.1016/j.sigpro.2019.107428.
Zhang, S. & Zhang, Y. (2020). Low-rank hankel matrix completion for robust time-frequency analysis. IEEE Transactions on Signal Processing, 68, 6171-6186. doi: 10.1109/TSP.2020.3032234.
Gu, Y. & Zhang, Y. (2019). Compressive sampling optimization for user signal parameter estimation in massive MIMO systems. Digital Signal Processing: a Review Journal, 94, 105-113. doi: 10.1016/j.dsp.2019.06.010.
Zhang, S. & Zhang, Y. (2019). Robust Time-Frequency Analysis of Multiple FM Signals with Burst Missing Samples. IEEE Signal Processing Letters, 26(8), 1172-1176. doi: 10.1109/LSP.2019.2922500.
Qin, G., Amin, M., & Zhang, Y. (2019). DOA estimation exploiting sparse array motions. IEEE Transactions on Signal Processing, 67(11), 3013-3027. doi: 10.1109/TSP.2019.2911261.
Gu, Y. & Zhang, Y. (2019). Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems. IEEE Transactions on Signal Processing, 67(9), 2334-2346. doi: 10.1109/TSP.2019.2904018.
Zheng, Z., Wang, W., Kong, Y., & Zhang, Y. (2019). MISC Array: A New Sparse Array Design Achieving Increased Degrees of Freedom and Reduced Mutual Coupling Effect. IEEE Transactions on Signal Processing, 67(7), 1728-1741. doi: 10.1109/TSP.2019.2897954.
Wang, M., Zhang, Y., & Cui, G. (2019). Human motion recognition exploiting radar with stacked recurrent neural network. Digital Signal Processing: a Review Journal, 87, 125-131. doi: 10.1016/j.dsp.2019.01.013.
Qin, G., Zhang, Y., & Amin, M. (2019). DOA estimation exploiting moving dilated nested arrays. IEEE Signal Processing Letters, 26(3), 490-494. doi: 10.1109/LSP.2019.2894467.
Zhang, S., Gu, Y., & Zhang, Y. (2019). Robust astronomical imaging in the presence of radio frequency interference. Journal of Astronomical Instrumentation, 8(1). doi: 10.1142/S2251171719400129.
Amin, V., Zhang, Y., & Himed, B. (2019). Sparsity-based time-frequency representation of FM signals with burst missing samples. Signal Processing, 155, 25-43. doi: 10.1016/j.sigpro.2018.09.028.