Full-Time
 
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Po-Chih Chen
Po-Chih Chen
Assistant Professor
Group:
Wireless Communications
Office:
Phone:
E-mail:
pochih@nycu.edu.tw
Website:
http://systems.caltech.edu/dsp/students/pcchen/
Research:
Wireless Communication Technology, Intelligent Signal Processing, Wireless Sensing Technology, Smart Networks
  • Biography

  • Experience, Honors and Awards
    NA

  • Research Highlights
    o Array signal processing
    o Signal processing for communications
    o Digital signal processing
    o Distributed algorithms

  • Journals
    1. P.-C. Chen and P. P. Vaidyanathan, “Hybrid Beamspace DOA Estimation for RF-Chain-Limited mmWave Passive Array,” IEEE Access, vol. 12, pp. 129087-129102,  2024.
    2. P.-C. Chen and P. P. Vaidyanathan, “Channel estimation for mmWave using the convolutional beamspace approach,” IEEE Trans. Signal Process., vol. 72, pp. 2921-2938,  2024.
    3. P.-C. Chen and P. P. Vaidyanathan, “Distributed algorithms for array signal processing,” IEEE Trans. Signal Process., vol. 69, pp. 4607-4622,  2021.
    4. P.-C. Chen and P. P. Vaidyanathan, “Convolutional beamspace for linear arrays,” IEEE Trans. Signal Process., vol. 68, pp. 5395-5410,  2020.
    5. P.-C. Chen, B. Su, and Y. Huang, “Matrix characterization for GFDM systems: Low- complexity MMSE receivers and optimal prototype filters,” IEEE Trans. Signal Process., vol. 65, no. 18 pp. 4940-4955,  Sep. 2017.

  • Conference Papers
    • P.-C. Chen and P. P. Vaidyanathan, “Hybrid Convolutional Beamspace Method for mmWave MIMO Channel Estimation,” Asilomar Conf. on Signal, Syst., Comput., 2023.
    • P.-C. Chen and P. P. Vaidyanathan, “Cram´er–Rao Bound for Convolutional Beamspace Method,” Asilomar Conf. on Signal, Syst., Comput., 2023.
    • P.-C. Chen and P. P. Vaidyanathan, “Unitary ESPRIT for coprime arrays,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2023, pp. 1-5.
    • P.-C. Chen and P. P. Vaidyanathan, “Error analysis of convolutional beamspace algorithms,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2023, pp. 1-5.
    • P.-C. Chen and P. P. Vaidyanathan, “Hybrid convolutional beamspace for DOA estimation of millimeter wave sources,” Asilomar Conf. on Signal, Syst., Comput., 2022, pp. 86-90.
    • P.-C. Chen and P. P. Vaidyanathan, “Convolutional beamspace using IIR filters,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2022, pp. 5003-5007.
    • P.-C. Chen and P. P. Vaidyanathan, “Sliding-Capon based convolutional beamspace for linear arrays,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2021, pp. 4565-4569.
    • P.-C. Chen and P. P. Vaidyanathan, “Rank properties of manifold matrices of sparse arrays,” Asilomar Conf. on Signal, Syst., Comput., 2021, pp. 1628-1633.
    • P.-C. Chen and P. P. Vaidyanathan, “Distributed root-MUSIC using finite-time average consensus,” Asilomar Conf. on Signal, Syst., Comput., 2021, pp. 539-543.
    • P.-C. Chen and P. P. Vaidyanathan, “Convolutional beamspace and sparse signal recovery for linear arrays,” Asilomar Conf. on Signal, Syst., Comput., 2020, pp. 929-933.
    • P. P. Vaidyanathan and P.-C. Chen, “Convolutional beamspace for array signal processing,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2020, pp. 4707-4711.
    • P.-C. Chen and P. P. Vaidyanathan, “On ESPRIT with multiple coprime-invariances,” Asilomar Conf. on Signal, Syst., Comput., 2019, pp. 148-152.
    • C.-L. Tai, B. Su, and P.-C. Chen, “Optimal filter design for GFDM that minimizes PAPR under performance constraints,” Proc. IEEE Wireless Commun. Netw. Conf., 2018, pp. 1-6.
    • P.-C. Chen, B. Su, “Filter optimization of out-of-band radiation with performance constraints for GFDM systems,” in the 18th IEEE Int. Workshop on Signal Process. Advances in Wireless Commun. (SPAWC), 2017, pp. 1-5.

  • Book Chapters
    NA

  • Patents
    NA
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