no code implementations • 30 Jun 2023 • Siqi Na, Yoshiyuki Kabashima, Takashi Takahashi, Tianyao Huang, Yimin Liu, Xiqin Wang
Based on this estimator, we construct a detector, termed the debiased weighted LASSO detector (DWLD), for CS radar systems and prove its advantages.
no code implementations • 9 Dec 2022 • Guangbin Zhang, Tianyao Huang, Yimin Liu, Xiqin Wang, Yonina C. Eldar
To this end, we exploit the orthogonality of the signals of partly calibrated arrays.
no code implementations • 30 Sep 2022 • Siqi Na, Tianyao Huang, Yimin Liu, Takashi Takahashi, Yoshiyuki Kabashima, Xiqin Wang
Such detector can analytically provide the threshold according to given false alarm rate, which is not possible with the conventional CS detector, and the detection performance is proved to be better than that of the traditional LASSO detector.
no code implementations • 3 Sep 2020 • Hang Ruan, Yimin Liu, Tianyao Huang, Xiqin Wang
Then, the waveform parameters are designed with a limit on the TBP to optimize the system performance.
no code implementations • 7 Jan 2020 • PengFei Liu, Yimin Liu, Tianyao Huang, Yuxiang Lu, Xiqin Wang
In this paper, a decentralized spectrum allocation approach is presented to avoid mutual interference among automotive radars.
no code implementations • 24 Apr 2019 • PengFei Liu, Yimin Liu, Tianyao Huang, Yuxiang Lu, Xiqin Wang
The concept of cognitive radar (CR) enables radar systems to achieve intelligent adaption to a changeable environment with feedback facility from receiver to transmitter.