7 accepted papers
Automotive radar sensors are vital for enhancing vehicle safety and autonomy, enabling functionalities such as adaptive cruise control and collision avoidance. The performance of these radar systems is highly dependent on the selected waveform. There are several waveform options for automotive radar…
This study focuses on multiple target detection in the presence of signal-dependent clutter using a Multiple-Input Multiple-Output (MIMO) radar system. The problem is formulated as worst-case SINR maximization (max-min optimization), which is a function of the MIMO waveform, under the hardware-inspi…
Due to the characteristics of light weight, low cost, and high resolution, millimeter wave (MMW) multiple-input multiple-output (MIMO) radars are widely applied in remote sensing and automotive systems. The MMW MIMO radar orthogonal waveform design is a key issue based on dechirp-on-receive techniqu…
Joint sensing and communication (JSAC) has emerged as a promising technology in autonomous driving, as it allows simultaneous road sensing and two-way communication using a single shared platform. Meanwhile, intelligent reflective surface (IRS) enables sensing enhancement and communication with targ…
In this paper, we analyze the effect of sensor placement to the achievable number of degrees-of-freedom (DOFs) when the sensors deviate from a half-wavelength grid. More specifically, we consider two variations of a uniform linear array (ULA), namely, when one or more sensors are shifted from half-w…
In this paper, we develop a deep learning framework to optimize the compressive sampling matrix in a massive multiple-input multiple-output (MIMO) system. The optimized compressive sampling matrix is utilized to project high-dimensional data received at the massive MIMO system into a lower-dimension…
Massive multi-input-multi-output (MMIMO) cognitive radar can enhance the target detection ability in a dynamic environment via a continuous "perception-action" cycle. In our previous work, we proposed a reinforcement learning (RL) based approach for multi-target detection in MMIMO. However, this met…