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

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Showing 2019Show all

6 papers · 1 filter

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…