activity
20192024
most citedOne-Bit Radar Processing with Time-Varying Sampling Thresholds

88 citations · 170 across the 10 of their papers we have counts for

collaborators

11 papers

eess.SP2024★ 1 cited

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…

eess.SP2023★ 11 cited

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…

eess.SP2022★ 4 cited

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…

eess.SP2020★ 35 cited

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)…

cs.CV2020★ 14 cited

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…

eess.SP2019★ 14 cited

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…

cs.LG2019

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…

eess.SP2019★ 3 cited

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…

eess.SP2019

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…

eess.SP2019★ 88 cited

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…

cs.IR2019

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…