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Yimin Daniel Zhang

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Yimin Daniel Zhang

  • College of Engineering

    • Electrical and Computer Engineering

      • Associate Professor

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 3522

Stochastic Processes in Signals and Systems

Undergraduate

ECE 4512

Analog and Digital Communications

Undergraduate

ECE 5512

Intro Digital Comm

Graduate

ECE 5562

Wireless Communications Engineering

Graduate

ECE 8110

Special Topic: Array Signal Processing

Graduate

ECE 8514

Applications in Digital Signal Processing

Graduate

Selected Publications

Recent

  • 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.

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

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

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

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

  • 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.

  • Ahmed, A., Zhang, S., Amin, V., & Zhang, Y. (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.

  • Ahmed, A., Zhang, Y., 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, 559-563. doi: 10.1109/IEEECONF44664.2019.9049009.

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

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

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

  • 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.

  • Liu, J., Wu, Q., & Zhang, Y. (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, 4998-5002. doi: 10.1109/ICASSP.2019.8682628.

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

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

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

  • 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.

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

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

  • 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.

  • Ahmed, A., Zhang, Y., & 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.

  • 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.

  • 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.

  • Chalise, B., Zhang, Y., & 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, 251-255. doi: 10.1109/GlobalSIP.2018.8646559.

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

  • 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.

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

  • Zhou, C., Gu, Y., Fan, X., Shi, Z., Mao, G., & Zhang, Y. (2018). Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation. IEEE Transactions on Signal Processing, 66(22), 5956-5971. doi: 10.1109/TSP.2018.2872012.

  • Ahmed, A., Zhang, Y., & Gu, Y. (2018). Dual-function radar-communications using QAM-based sidelobe modulation. Digital Signal Processing: a Review Journal, 82, 166-174. doi: 10.1016/j.dsp.2018.06.018.

  • Zhou, C., Gu, Y., Shi, Z., & Zhang, Y. (2018). Off-Grid Direction-of-Arrival Estimation Using Coprime Array Interpolation. IEEE Signal Processing Letters, 25(11), 1710-1714. doi: 10.1109/LSP.2018.2872400.

  • Liu, K. & Zhang, Y. (2018). Coprime array-based robust beamforming using covariance matrix reconstruction technique. IET Communications, 12(17), 2206-2212. doi: 10.1049/iet-com.2018.5307.

  • Gu, Y. & Zhang, Y. (2018). Pilot Design for Gaussian Mixture Channel Estimation in Massive MIMO. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2018-April, 3266-3270. doi: 10.1109/ICASSP.2018.8462013.

  • Zhou, C., Shi, Z., Gu, Y., & Zhang, Y. (2018). Coarray Interpolation-Based Coprime Array Doa Estimation Via Covariance Matrix Reconstruction. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2018-April, 3479-3483. doi: 10.1109/ICASSP.2018.8461721.

  • Liu, S., Jia, J., Zhang, Y., & Yang, Y. (2018). Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse Bayesian Learning. IEEE Transactions on Medical Imaging, 37(9), 2090-2102. doi: 10.1109/TMI.2018.2816739.

  • Zhang, S., Gu, Y., Won, C., & Zhang, Y. (2018). Dimension-reduced radio astronomical imaging based on sparse reconstruction. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018-July, 470-474. doi: 10.1109/SAM.2018.8448615.

  • Gu, Y. & Zhang, Y. (2018). Single-snapshot adaptive beamforming. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018-July, 129-133. doi: 10.1109/SAM.2018.8448680.

  • Guo, M., Zhang, Y., & Chen, T. (2018). Compressive measurements exploiting coprime frequencies for direction finding. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018-July, 26-30. doi: 10.1109/SAM.2018.8448576.

  • Ahmed, A., Gu, Y., Silage, D., & Zhang, Y. (2018). Power-Efficient Multi-User Dual-Function Radar-Communications. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2018-June. doi: 10.1109/SPAWC.2018.8445963.

  • Liu, K. & Zhang, Y. (2018). Coprime array-based DOA estimation in unknown nonuniform noise environment. Digital Signal Processing: a Review Journal, 79, 66-74. doi: 10.1016/j.dsp.2018.04.003.

  • Guo, M., Zhang, Y., & Chen, T. (2018). DOA estimation using compressed sparse array. IEEE Transactions on Signal Processing, 66(15), 4133-4146. doi: 10.1109/TSP.2018.2847645.

  • Ahmed, A., Zhang, Y., & Himed, B. (2018). Multi-user dual-function radar-communications exploiting sidelobe control and waveform diversity. 2018 IEEE Radar Conference, RadarConf 2018, 698-702. doi: 10.1109/RADAR.2018.8378644.

  • Zhang, Y. & Himed, B. (2018). Multipath Doppler difference estimation in over-the-horizon radar. 2018 IEEE Radar Conference, RadarConf 2018, 693-697. doi: 10.1109/RADAR.2018.8378643.

  • Guo, M., Zhang, Y., & Chen, T. (2018). Performance Analysis for Uniform Linear Arrays Exploiting Two Coprime Frequencies. IEEE Signal Processing Letters, 25(6), 838-842. doi: 10.1109/LSP.2018.2798587.

  • Liu, S., Zhang, Y., Shan, T., & Tao, R. (2018). Structure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation with Missing Observations. IEEE Transactions on Signal Processing, 66(8), 2153-2166. doi: 10.1109/TSP.2018.2806351.

  • Zhang, S., Gu, Y., Wang, B., & Zhang, Y. (2018). Robust astronomical imaging under coexistence with wireless communications. Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, 2017-October, 1301-1305. doi: 10.1109/ACSSC.2017.8335563.

  • Ahmed, A., Zhang, Y., & Himed, B. (2018). Cumulant-based direction-of-arrival estimation using multiple co-prime frequencies. Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, 2017-October, 1188-1192. doi: 10.1109/ACSSC.2017.8335539.

  • Subedi, S., Zhang, Y., Amin, M., & Himed, B. (2018). Cramer–Rao type bounds for sparsity-aware multi-sensor multi-target tracking. Signal Processing, 145, 68-77. doi: 10.1016/j.sigpro.2017.11.014.

  • Liu, S., Zhang, Y., & Shan, T. (2018). Detection of weak astronomical signals with frequency-hopping interference suppression. Digital Signal Processing: a Review Journal, 72, 1-8. doi: 10.1016/j.dsp.2017.09.003.

  • Djurović, I. & Zhang, Y. (2018). Accurate parameter estimation of over-the-horizon radar signals using RANSAC and MUSIC algorithms. Progress in Electromagnetics Research M, 67, 85-93. doi: 10.2528/PIERM18022004.

  • Zhang, S., Gu, Y., Barott, W., & Zhang, Y. (2018). Improved radio astronomical imaging based on sparse reconstruction. Proceedings of SPIE - The International Society for Optical Engineering, 10658. doi: 10.1117/12.2307643.

  • Amin, M., Borio, D., Zhang, Y., & Galleani, L. (2017). Time-Frequency Analysis for GNSSs: From interference mitigation to system monitoring. IEEE Signal Processing Magazine, 34(5), 85-95. doi: 10.1109/MSP.2017.2710235.

  • Zhou, C., Gu, Y., Zhang, Y., Shi, Z., Jin, T., & Wu, X. (2017). Compressive sensing-based coprime array direction-of-arrival estimation. IET Communications, 11(11), 1719-1724. doi: 10.1049/iet-com.2016.1048.

  • Wang, B., Zhang, Y., & Wang, W. (2017). Robust DOA estimation in the presence of miscalibrated sensors. IEEE Signal Processing Letters, 24(7), 1073-1077. doi: 10.1109/LSP.2017.2708659.

  • Liu, K. & Zhang, Y. (2017). Sparsity-based robust adaptive beamforming exploiting coprime array. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, 1-6. doi: 10.1109/SPMB.2017.8257021.

  • Wang, B., Qin, S., Zhang, Y., & Amin, M. (2017). Robust DOA estimation in the presence of mis-calibrated sensors. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3076-3080. doi: 10.1109/ICASSP.2017.7952722.

  • Gu, Y., Zhang, Y., & Goodman, N. (2017). Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3181-3185. doi: 10.1109/ICASSP.2017.7952743.

  • Ahmed, A., Zhang, Y., & Himed, B. (2017). Effective nested array design for fourth-order cumulant-based DOA estimation. 2017 IEEE Radar Conference, RadarConf 2017, 0998-1002. doi: 10.1109/RADAR.2017.7944349.

  • Zhang, Y. (2017). Resilient quadratic time-frequency distribution for FM signals with gapped missing data. 2017 IEEE Radar Conference, RadarConf 2017, 1765-1769. doi: 10.1109/RADAR.2017.7944493.

  • Subedi, S., Pauls, E., & Zhang, Y. (2017). Accurate Localization and Tracking of a Passive RFID Reader Based on RSSI Measurements. IEEE Journal of Radio Frequency Identification, 1(2), 144-154. doi: 10.1109/JRFID.2017.2765618.

  • Xi, F., Chen, S., Zhang, Y., & Liu, Z. (2017). Gridless quadrature compressive sampling with interpolated array technique. Signal Processing, 133, 1-12. doi: 10.1016/j.sigpro.2016.10.010.

  • Qin, S., Zhang, Y., Amin, M., & Gini, F. (2017). Frequency Diverse Coprime Arrays with Coprime Frequency Offsets for Multitarget Localization. IEEE Journal on Selected Topics in Signal Processing, 11(2), 321-335. doi: 10.1109/JSTSP.2016.2627184.

  • Erol, B., Amin, M., Boashash, B., Ahmad, F., & Zhang, Y. (2017). Wideband radar based fall motion detection for a generic elderly. Conference Record - Asilomar Conference on Signals, Systems and Computers, 1768-1772. doi: 10.1109/ACSSC.2016.7869686.

  • Wang, B., Zhang, Y., & Wang, W. (2017). Nonstationary jammer suppression based on parametric sparse reconstruction. Conference Record - Asilomar Conference on Signals, Systems and Computers, 657-661. doi: 10.1109/ACSSC.2016.7869125.

  • Qin, S., Zhang, Y., & Amin, M. (2017). DOA estimation of mixed coherent and uncorrelated targets exploiting coprime MIMO radar. Digital Signal Processing: a Review Journal, 61, 26-34. doi: 10.1016/j.dsp.2016.06.006.

  • Amin, M., Vaidyanathan, P., Zhang, Y., & Pal, P. (2017). Editorial for coprime special issue. Digital Signal Processing: a Review Journal, 61, 1-2. doi: 10.1016/j.dsp.2016.12.006.

  • Zhang, Y., Amin, M., & Himed, B. (2017). Structure-aware sparse reconstruction and applications to passive multistatic radar. IEEE Aerospace and Electronic Systems Magazine, 32(2), 68-78. doi: 10.1109/MAES.2017.160021.

  • Shen, Q., Cui, W., Liu, W., Wu, S., Zhang, Y., & Amin, M. (2017). Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept. Signal Processing, 130, 299-304. doi: 10.1016/j.sigpro.2016.07.022.

  • Qin, S., Zhang, Y., Amin, M., & Himed, B. (2017). DOA estimation exploiting a uniform linear array with multiple co-prime frequencies. Signal Processing, 130, 37-46. doi: 10.1016/j.sigpro.2016.06.008.

  • Qin, S., Zhang, Y., Amin, M., & Zoubir, A. (2017). Generalized Coprime Sampling of Toeplitz Matrices for Spectrum Estimation. IEEE Transactions on Signal Processing, 65(1), 81-94. doi: 10.1109/TSP.2016.2614799.

  • Zhang, Y. & Ho, D. (2017). Continuous-wave doppler radar for fall detection. In Radar for Indoor Monitoring: Detection, Classification, and Assessment (pp. 71-94). doi: 10.1201/9781315155340.

  • Ahmed, A., Zhang, Y.D., Himed, B., & IEEE (2022). Effective Nested Array Design for Fourth-Order Cumulant-Based DOA Estimation. 2017 IEEE RADAR CONFERENCE (RADARCONF), 998-1002. Retrieved from http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000405307600190&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=abcd71df5a6dac31fd219478b0a9c638.

  • Stanković, L., Stanković, S., Orović, I., & Zhang, Y. (2017). Time-frequency analysis of micro-doppler signals based on compressive sensing. In Compressive Sensing for Urban Radar (pp. 283-326). doi: 10.1201/b17252.

  • Zhang, Y. & Hunt, A. (2017). Image and localization of behindthe-wall targets using collocated and distributed apertures. In Through-the-Wall Radar Imaging (pp. 121-156). doi: 10.1201/9781315218144.

  • Shen, Q., Liu, W., Cui, W., Wu, S., Zhang, Y., & Amin, M. (2017). Focused compressive sensing for underdetermined wideband DOA estimation exploiting high-order difference coarrays. IEEE Signal Processing Letters, 24(1), 86-90. doi: 10.1109/LSP.2016.2638880.