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Award ID contains: 1955672

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  1. ; ; ; ; ; ( , IEEE)
    Free, publicly-accessible full text available June 16, 2025
  2. ; ; ; ; ; ; ( , IEEE)
    Millimeter-wave (mmWave) systems require a large number of antennas, which makes the beam training challenging and time-consuming for conventional phased arrays. Recently, a true-time-delay (TTD) array-based beam training algorithm has been shown as an effective solution to overcome the training overhead in large arrays. In this paper, we present a custombuilt over-the-air (OTA) testbed to study the effects of hardware impairments on the TTD-based beam training and verify its feasibility in a real system. We proposed an orthogonal matching pursuit (OMP) based reconstruction algorithm along with a phase calibration dictionary to combat nonidealities such as strong frequency selectivity and phase misalignment in the received raw IQ signal. Post-processing results showed that with the nonideality effects properly handled, the 3D TTD beam training algorithm can achieve high AOA estimation accuracy. 
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    Free, publicly-accessible full text available June 9, 2025
  3. ; ; ( , IEEE)
    Free, publicly-accessible full text available May 13, 2025
  4. ; ; ; ( , IEEE)
    Free, publicly-accessible full text available February 19, 2025
  5. ; ; ; ( , IEEE)
    Full Text Available 
  6. ; ( , IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP))
    Full Text Available 
  7. ( , IEEE International Conference on Communications)
    Accepted Manuscript Full Text Available
  8. ; ; ( , mmNets '22: Proceedings of the 6th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems)
    Full Text Available 
  9. ( , IEEE circuits and systems magazine)
    Accepted Manuscript Full Text Available
  10. ( , IEEE journal of solidstate circuits)
    Accepted Manuscript Full Text Available