88 citations · 170 across the 10 of their papers we have counts for
11 papers
Ambiguity Function Shaping in FMCW Automotive Radar
Zahra Esmaeilbeig, Arindam Bose, Mojtaba Soltanalian
Frequency-modulated continuous wave (FMCW) radar with inter-chirp coding produces high side-lobes in the Doppler and range dimensions of the radar's ambiguity function. The high si…
Mutual Interference Mitigation in PMCW Automotive Radar
Zahra Esmaeilbeig, Arindam Bose, Mojtaba Soltanalian
This paper addresses the challenge of mutual interference in phase-modulated continuous wave (PMCW) millimeter-wave (mmWave) automotive radar systems. The increasing demand for adv…
Waveform Design for Mutual Interference Mitigation in Automotive Radar
Arindam Bose, Bo Tang, Wenjie Huang +2
The mutual interference between similar radar systems can result in reduced radar sensitivity and increased false alarm rates. To address the synchronous and asynchronous interfere…
Efficient Waveform Covariance Matrix Design and Antenna Selection for MIMO Radar
Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian
Controlling the radar beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO)…
Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network
Chirag Agarwal, Shahin Khobahi, Arindam Bose +2
The lack of interpretability in current deep learning models causes serious concerns as they are extensively used for various life-critical applications. Hence, it is of paramount…
Deep Radar Waveform Design for Efficient Automotive Radar Sensing
Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian
In radar systems, unimodular (or constant-modulus) waveform design plays an important role in achieving better clutter/interference rejection, as well as a more accurate estimation…
Deep One-bit Compressive Autoencoding
Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian
Parameterized mathematical models play a central role in understanding and design of complex information systems. However, they often cannot take into account the intricate interac…
Waveform Design for One-Bit Radar Systems Under Uncertain Interference Statistics
Arindam Bose, Aria Ameri, Mojtaba Soltanalian
An important problem in cognitive radar is to enhance the estimation performance of the system by a joint design of its probing signal and receive filter using the a priori informa…
Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar
Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian
In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for multiple-input-multiple-output (MIMO) radar syste…
One-Bit Radar Processing with Time-Varying Sampling Thresholds
Aria Ameri, Arindam Bose, Jian Li +1
Target parameter estimation in active sensing, and particularly radar signal processing, is a long-standing problem that has been studied extensively. In this paper, we propose a n…
Comprehensive Personalized Ranking Using One-Bit Comparison Data
Aria Ameri, Arindam Bose, Mojtaba Soltanalian
The task of a personalization system is to recommend items or a set of items according to the users' taste, and thus predicting their future needs. In this paper, we address such p…