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 • 28 Mar 2023 • Zhuoyang Liu, Haiyang Zhang, Tianyao Huang, Feng Xu, Yonina C. Eldar
Dual-function radar-communication (DFRC) technology is emerging in next-generation wireless systems.
no code implementations • 23 Dec 2022 • Zhao Shan, Lei Wang, PengFei Liu, Tianyao Huang, Yimin Liu
To address this challenge, we use a novel iteratively selecting technique which breaks a difficult decision task into several easy tasks.
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 • 26 Jul 2022 • Rui Guo, Tianyao Huang, Maokun Li, Haiyang Zhang, Yonina C. Eldar
To benefit from prior knowledge in big data and the theoretical constraint of physical laws, physics embedded ML methods for EM imaging have become the focus of a large body of recent work.
no code implementations • 18 Nov 2021 • Rong Fu, Vincent Monardo, Tianyao Huang, Yimin Liu
In this paper, we consider the recovery of the high-dimensional block-sparse signal from a compressed set of measurements, where the non-zero coefficients of the recovered signal occur in a small number of blocks.
no code implementations • 15 Nov 2021 • Rong Fu, Tianyao Huang, Lei Wang, Yimin Liu
As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing.
no code implementations • 2 Sep 2021 • Xiang Liu, Tianyao Huang, Yimin Liu
With this constraint, we formulate and solve the signal-to-interference-plus-noise ratio (SINR) balancing problem for multiuser transmit beamforming via convex optimization.
no code implementations • 28 Jun 2021 • Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
The proposed FMCW-based radar-communications system (FRaC) operates at reduced cost and complexity by transmitting with a reduced number of radio frequency modules, combined with narrowband FMCW signalling.
no code implementations • 23 Feb 2021 • Rong Fu, Yimin Liu, Tianyao Huang, Yonina C. Eldar
In this paper, we show that the mutual inhibition matrix of a MHR problem naturally has a Toeplitz structure, which means that the degrees of freedom (DoF) of the matrix can be reduced from a quadratic order to a linear order.
no code implementations • 30 Dec 2020 • Yuhan Li, Tianyao Huang, Xingyu Xu, Yimin Liu, Yonina C. Eldar
FAR has improved anti-jamming performance over traditional pulse-Doppler radars under complex electromagnetic circumstances.
no code implementations • 22 Dec 2020 • Xiang Liu, Deborah Cohen, Tianyao Huang, Yimin Liu, Yonina C. Eldar
Our method encodes each pulse with a random phase, varying from pulse to pulse, and then processes the received samples jointly to resolve the range ambiguity.
no code implementations • 9 Sep 2020 • Xiangtuan Wang, Yimin Liu, Tianyao Huang
Multistatic radar system (MSRS) is considered an effective scheme to suppress mainlobe jamming, since it has higher spatial resolution enabling jamming cancellation from spatial domain.
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 • 23 Mar 2020 • Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar
For the radar subsystem, our experiments show that the spatial agility induced by the GSM transmission improves the angular resolution and reduces the sidelobe level in the transmit beam pattern compared to using fixed antenna allocations.
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 • 8 Aug 2019 • Lei Wang, Tianyao Huang, Yimin Liu
Randomized Stepped Frequency Radar (RSFR) is very attractive for tasks under complex electromagnetic environment.
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.