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Found 8 papers, 1 papers with code
Ambiguity Function Shaping in FMCW Automotive Radar
In this paper, we develop a novel code optimization method that attenuates the side-lobes of the radar's ambiguity function.
Mutual Interference Mitigation in PMCW Automotive Radar
This paper addresses the challenge of mutual interference in phase-modulated continuous wave (PMCW) millimeter-wave (mmWave) automotive radar systems.
Waveform Design for Mutual Interference Mitigation in Automotive Radar
The mutual interference between similar radar systems can result in reduced radar sensitivity and increased false alarm rates.
Efficient Waveform Covariance Matrix Design and Antenna Selection for MIMO Radar
In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO radar system to approximate a given transmit beam-pattern, as well as to minimize the cross-correlation between the probing signals at a number of given target locations.
Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network
The lack of interpretability in current deep learning models causes serious concerns as they are extensively used for various life-critical applications.
Deep Radar Waveform Design for Efficient Automotive Radar Sensing
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 of the target parameters.
Deep One-bit Compressive Autoencoding
Parameterized mathematical models play a central role in understanding and design of complex information systems.
Comprehensive Personalized Ranking Using One-Bit Comparison Data
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.
