← Search

Nitin Jonathan Myers

7 accepted papers

2025

A Divide-and-conquer Approach for Sparse Recovery in High Dimensions

ICASSP 2025accepted

Block compressed sensing (BCS) alleviates the high storage and memory complexity with standard CS by dividing the sparse recovery problem into sub-problems. This paper presents a Welch bound-based guarantee on the reconstruction error with BCS, revealing that sparse recovery deteriorates with more p…

Cited by 1SourceScholar
2025

Situation-aware Space-time Waveform Design for Automotive MIMO Radars

ICASSP 2025accepted

Radar is a key technology in automotive driving for target detection and perception. In this work, we leverage prior environmental information in the form of occupancy maps to design space-time codes for a fully digital MIMO radar. We transform this design problem into the optimization of spatial be…

Cited by 0SourceScholar
2024

Situation-Aware Adaptive Transmit Beamforming for Automotive Radars

ICASSP 2024accepted

Millimeter-wave radar is a common sensor modality used in automotive driving for target detection and perception. These radars can benefit from side information on the environment being sensed, such as lane topologies or data from other sensors. Existing radars do not leverage this information to ad…

Cited by 0SourceScholar
2020

Deep Learning-Based Beam Alignment in Mmwave Vehicular Networks

ICASSP 2020accepted

Millimeter wave channels exhibit structure that allows beam alignment with fewer channel measurements than exhaustive beam search. From a compressed sensing (CS) perspective, the received channel measurements are usually obtained by multiplying a CS matrix with a sparse representation of the channel…

Cited by 0SourceScholar
2020

Low-Rank MMWAVE MIMO Channel Estimation in One-Bit Receivers

ICASSP 2020accepted

Receivers with one-bit analog-to-digital converters (ADCs) are promising for high bandwidth millimeter wave (mmWave) systems as they consume less power than their full resolution counterparts. The extreme quantization in one-bit receivers and the use of large antenna arrays at mmWave make channel es…

Cited by 14SourceScholar
2019

Tensor-based Estimation of mmWave MIMO Channels with Carrier Frequency Offset

ICASSP 2019accepted

Millimeter wave multiple-input-multiple-output (MIMO) achieves the best performance when reliable channel state information is used to design the beams. Most channel estimation methods proposed in the literature, however, ignore practical hardware impairments such as carrier frequency offset (CFO) a…

Cited by 0SourceScholar