Yimin D. Zhang

Yimin D. Zhang

  • College of Engineering

    Electrical and Computer Engineering

    Associate Professor

Office Location

Engineering 720

Phone

215-204-7212

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.

Labs: Advanced Signal Processing (ASP) Lab

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

Digital Communication Systems Laboratory

Undergraduate

ECE 4513

Analog and Digital Communications Laboratory

Undergraduate

ECE 5512

Introduction to Digital Communications

Graduate

ECE 5562

Wireless Communications Engineering

Graduate

ECE 9514

Adaptive Signal Processing

Graduate

ENGR 2013

Engineering Analysis and Applications Lab

Undergraduate

Selected Publications

  • 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. doi: 10.1016/j.dsp.2022.103426

  • Zhang, S., Pavel, M., & Zhang, Y.D. (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, pp. 11260-11273. doi: 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, pp. 2576-2592. doi: 10.1109/TSP.2022.3173150

  • Ahmed, A., Zhang, Y.D., & Hassanien, A. (2021). Joint radar-communications exploiting optimized ofdm waveforms. Remote Sensing, 13(21). doi: 10.3390/rs13214376

  • Liu, S., Mao, Z., Zhang, Y.D., & Huang, Y. (2021). Rank Minimization-Based Toeplitz Reconstruction for DoA Estimation Using Coprime Array. IEEE Communications Letters, 25(7), pp. 2265-2269. doi: 10.1109/LCOMM.2021.3075227

  • Sun, S. & Zhang, Y.D. (2021). 4D Automotive Radar Sensing for Autonomous Vehicles: A Sparsity-Oriented Approach. IEEE Journal on Selected Topics in Signal Processing, 15(4), pp. 879-891. doi: 10.1109/JSTSP.2021.3079626

  • Zhang, Y.D., Xiang, X., Li, Y., & Chen, G. (2021). Enhanced Micro-Doppler Feature Analysis for Drone Detection. IEEE National Radar Conference - Proceedings, 2021-May. doi: 10.1109/RadarConf2147009.2021.9455228

  • Sun, S. & Zhang, Y.D. (2021). Four-dimensional high-resolution automotive radar imaging exploiting joint sparse-frequency and sparse-array design. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2021-June, pp. 8413-8417. doi: 10.1109/ICASSP39728.2021.9413875

  • Ahmed, A. & Zhang, Y.D. (2021). Generalized Non-Redundant Sparse Array Designs. IEEE Transactions on Signal Processing, 69, pp. 4580-4594. doi: 10.1109/TSP.2021.3100977

  • Zhang, S., Ahmed, A., Zhang, Y.D., & Sun, S. (2021). Enhanced DOA Estimation Exploiting Multi-Frequency Sparse Array. IEEE Transactions on Signal Processing, 69, pp. 5935-5946. doi: 10.1109/TSP.2021.3122292

  • Ahmed, A. & Zhang, Y.D. (2020). Radar-based Dataset Development for Human Activity Recognition. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353619

  • Zhang, S., Pavel, S., & Zhang, Y. (2020). Crossterm-Free Time-Frequency Analyses Exploiting Deep Neural Networks. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353639

  • Ahmed, A. & Zhang, Y.D. (2020). Non-Redundant Sparse Array with Flexible Aperture. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2020-November, pp. 225-229. doi: 10.1109/IEEECONF51394.2020.9443458

  • Zhang, Y.D. & Pham, K.D. (2020). Joint Precoding and Scheduling Optimization in Downlink Multicell Satellite Communications. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2020-November, pp. 480-484. doi: 10.1109/IEEECONF51394.2020.9443436

  • Ahmed, A., Zhang, S., & Zhang, Y.D. (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

  • Ahmed, A., Zhang, Y.D., & Himed, B. (2020). Doppler Signature Separation of Mixed O/X-Mode Over-The-Horizon Radar Signals. IEEE National Radar Conference - Proceedings, 2020-September. doi: 10.1109/RadarConf2043947.2020.9266392

  • Amin, V.S., Zhang, Y.D., & Himed, B. (2020). Improved if Estimation of Multi-Component FM Signals through Iterative Adaptive Missing Data Recovery. IEEE National Radar Conference - Proceedings, 2020-September. doi: 10.1109/RadarConf2043947.2020.9266471

  • Qin, S., Zhang, Y.D., & Amin, M.G. (2020). Improved two-dimensional DOA estimation using parallel coprime arrays. Signal Processing, 172. doi: 10.1016/j.sigpro.2019.107428

  • Ahmed, A., Zhang, S., & Zhang, Y.D. (2020). Optimized Sensor Selection for Joint Radar-communication Systems. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020-May, pp. 4682-4686. doi: 10.1109/ICASSP40776.2020.9053368

  • Amin, V.S., Zhang, Y.D., & Himed, B. (2020). Group sparsity-based local multipath Doppler difference estimation in over-the-horizon radar. 2020 IEEE International Radar Conference, RADAR 2020, pp. 436-441. doi: 10.1109/RADAR42522.2020.9114721

  • Ahmed, A., Zhang, Y.D., & Himed, B. (2020). Doppler signature analysis of mixed O/X-mode signals in over-the-horizon radar. 2020 IEEE International Radar Conference, RADAR 2020, pp. 430-435. doi: 10.1109/RADAR42522.2020.9114582

  • Zhang, S., Ahmed, A., & Zhang, Y.D. (2020). Sparsity-based time-frequency analysis for automatic radar waveform recognition. 2020 IEEE International Radar Conference, RADAR 2020, pp. 548-553. doi: 10.1109/RADAR42522.2020.9114872

  • Sun, S. & Zhang, Y.D. (2020). Multi-Frequency Sparse Array-Based Massive MIMO Radar for Autonomous Driving. 2020 54TH ASILOMAR CONFERENCE on SIGNALS, SYSTEMS, and COMPUTERS, pp. 1167-1171. doi: 10.1109/IEEECONF51394.2020.9443455

  • Zhang, S. & Zhang, Y.D. (2020). Low-rank hankel matrix completion for robust time-frequency analysis. IEEE Transactions on Signal Processing, 68, pp. 6171-6186. doi: 10.1109/TSP.2020.3032234

  • Ahmed, A., Zhang, S., Amin, V.S., & Zhang, Y.D. (2019). Spectrum Sharing Strategy for Radio Frequency-Based Medical Services. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037847

  • Zhang, S., Ahmed, A., & Zhang, Y.D. (2019). Robust Source Localization Exploiting Collaborative UAV Network. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, pp. 1437-1441. doi: 10.1109/IEEECONF44664.2019.9049002

  • Gu, Y. & Zhang, Y.D. (2019). Adaptive Beamforming Based on Interference Covariance Matrix Estimation. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, pp. 619-623. doi: 10.1109/IEEECONF44664.2019.9048699

  • Amin, V.S., Zhang, Y.D., & Himed, B. (2019). Sequential Time-Frequency Signature Estimation of Multi-Component FM Signals. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, pp. 1901-1905. doi: 10.1109/IEEECONF44664.2019.9048988

  • Ahmed, A., Zhang, Y.D., Hassanien, A., & Himed, B. (2019). OFDM-based Joint Radar-Communication System: Optimal Sub-carrier Allocation and Power Distribution by Exploiting Mutual Information. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2019-November, pp. 559-563. doi: 10.1109/IEEECONF44664.2019.9049009

  • Gu, Y. & Zhang, Y.D. (2019). Compressive sampling optimization for user signal parameter estimation in massive MIMO systems. Digital Signal Processing: a Review Journal, 94, pp. 105-113. doi: 10.1016/j.dsp.2019.06.010

  • Zhang, S. & Zhang, Y.D. (2019). Robust Time-Frequency Analysis of Multiple FM Signals with Burst Missing Samples. IEEE Signal Processing Letters, 26(8), pp. 1172-1176. doi: 10.1109/LSP.2019.2922500

  • Qin, G., Amin, M.G., & Zhang, Y.D. (2019). DOA estimation exploiting sparse array motions. IEEE Transactions on Signal Processing, 67(11), pp. 3013-3027. doi: 10.1109/TSP.2019.2911261

  • Liu, J., Wu, Q., & Zhang, Y.D. (2019). Multi-task Adaptive Matching Pursuit for Sparse Signal Recovery Exploiting Signal Structures. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, pp. 4998-5002. doi: 10.1109/ICASSP.2019.8682628

  • Ahmed, A., Zhang, S., & Zhang, Y.D. (2019). Multi-target Motion Parameter Estimation Exploiting Collaborative UAV Network. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, pp. 4459-4463. doi: 10.1109/ICASSP.2019.8682406

  • Ahmed, A., Zhang, Y.D., & Zhang, J.K. (2019). Coprime Array Design with Minimum Lag Redundancy. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, pp. 4125-4129. doi: 10.1109/ICASSP.2019.8683315

  • Qin, G., Amin, M.G., & Zhang, Y.D. (2019). Analysis of Coprime Arrays on Moving Platform. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, pp. 4205-4209. doi: 10.1109/ICASSP.2019.8682851

  • Gu, Y. & Zhang, Y.D. (2019). Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems. IEEE Transactions on Signal Processing, 67(9), pp. 2334-2346. doi: 10.1109/TSP.2019.2904018

  • Wang, M., Zhang, Y.D., & Cui, G. (2019). Human motion recognition exploiting radar with stacked recurrent neural network. Digital Signal Processing: a Review Journal, 87, pp. 125-131. doi: 10.1016/j.dsp.2019.01.013

  • Ahmed, A., Zhang, Y.D., & Himed, B. (2019). Distributed dual-function radar-communication MIMO system with optimized resource allocation. 2019 IEEE Radar Conference, RadarConf 2019. doi: 10.1109/RADAR.2019.8835674

  • Li, H., Zhang, Y.D., & Himed, B. (2019). Signal processing for passive radar. 2019 IEEE Radar Conference, RadarConf 2019. doi: 10.1109/RADAR.2019.8835736

  • Amin, V.S., Zhang, Y.D., & Himed, B. (2019). Improved instantaneous frequency estimation of multi-component FM signals. 2019 IEEE Radar Conference, RadarConf 2019. doi: 10.1109/RADAR.2019.8835839

  • Zheng, Z., Wang, W.Q., Kong, Y., & Zhang, Y.D. (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), pp. 1728-1741. doi: 10.1109/TSP.2019.2897954

  • Zhang, S., Gu, Y., & Zhang, Y.D. (2019). Robust astronomical imaging in the presence of radio frequency interference. Journal of Astronomical Instrumentation, 8(1). doi: 10.1142/S2251171719400129

  • Qin, G., Zhang, Y.D., & Amin, M.G. (2019). DOA estimation exploiting moving dilated nested arrays. IEEE Signal Processing Letters, 26(3), pp. 490-494. doi: 10.1109/LSP.2019.2894467

  • Chalise, B.K., Zhang, Y.D., & Himed, B. (2019). Compressed sensing based joint DoA and polarization angle estimation for sparse arrays with dual-polarized antennas. 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, pp. 251-255. doi: 10.1109/GlobalSIP.2018.8646559

  • Gu, Y. & Zhang, Y.D. (2019). Atomic Decomposition-based Sparse Recovery for Space-Time Adaptive Processing. Conference Record - Asilomar Conference on Signals, Systems and Computers, 2018-October, pp. 1116-1120. doi: 10.1109/ACSSC.2018.8645270

  • Amin, V.S., Zhang, Y.D., & Himed, B. (2019). Sparsity-based time-frequency representation of FM signals with burst missing samples. Signal Processing, 155, pp. 25-43. doi: 10.1016/j.sigpro.2018.09.028

  • Zhang, S., Ahmed, A., & Zhang, Y.D. (2019). Sparsity-based collaborative sensing in a scalable wireless network. Proceedings of SPIE - the International Society for Optical Engineering, 10989. doi: 10.1117/12.2521243