activity
20142021
most citedWeighted SPICE: A Unifying Approach for Hyperparameter-Free Sparse Estimation

129 citations · 360 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.SP2021★ 55 cited

Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar

Xiaolei Shang, Jian Li, Petre Stoica

We consider the problem of range-Doppler imaging using one-bit automotive LFMCW1 or PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver. The…

eess.SP2021★ 1 cited

RFI Mitigation for One-bit UWB Radar Systems

Tianyi Zhang, Jiaying Ren, Jian Li +2

Radio frequency interference (RFI) mitigation is critical to the proper operation of ultra-wideband (UWB) radar systems since RFI can severely degrade the radar imaging capability…

eess.SP2021

Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX

Jiaying Ren, Tianyi Zhang, Jian Li +1

We consider the problem of sinusoidal parameter estimation using signed observations obtained via one-bit sampling with fixed as well as time-varying thresholds. In a previous pape…

eess.SP2021

Joint RFI Mitigation and Radar Echo Recovery for One-Bit UWB Radar

Tianyi Zhang, Jiaying Ren, Jian Li +2

Radio frequency interference (RFI) mitigation and radar echo recovery are critically important for the proper functioning of ultra-wideband (UWB) radar systems using one-bit sampli…

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…

eess.SP2018★ 83 cited

Iterative Sparse Asymptotic Minimum Variance Based Approaches for Array Processing

Habti Abeida, Qilin Zhang, Jian Li +1

This paper presents a series of user parameter-free iterative Sparse Asymptotic Minimum Variance (SAMV) approaches for array processing applications based on the asymptotically min…