activity
20182024
most citedOff-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

209 citations · 338 across the 7 of their papers we have counts for

collaborators
Showing eess.SPShow all

5 papers · 1 filter

eess.SP2024

Low-Complexity Estimation Algorithm and Decoupling Scheme for FRaC System

Mengjiang Sun, Peng Chen, Zhenxin Cao +1

With the leaping advances in autonomous vehicles and transportation infrastructure, dual function radar-communication (DFRC) systems have become attractive due to the size, cost an…

eess.SP2023★ 7 cited

NoncovANM: Gridless DOA Estimation for LPDF System

Yangying Zhao, Peng Chen, Zhenxin Cao +1

Direction of arrival (DOA) estimation is an important research in the area of array signal processing, and has been studied for decades. High resolution DOA estimation requires lar…

eess.SP2020★ 9 cited

Deep Neural Network-Based Quantized Signal Reconstruction for DOA Estimation

Weifeng Han, Peng Chen, Zhenxin Cao

For a massive multiple-input-multiple-output (MIMO) system using intelligent reflecting surface (IRS) equipped with radio frequency (RF) chains, the multi-channel RF chains are exp…

eess.SP2019★ 107 cited

A New Atomic Norm for DOA Estimation With Gain-Phase Errors

Peng Chen, Zhimin Chen, Zhenxin Cao +1

The problem of direction of arrival (DOA) estimation has been studied for decades as an essential technology in enabling radar, wireless communications, and array signal processing…

eess.SP2018★ 209 cited

Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

Peng Chen, Zhenxin Cao, Zhimin Chen +1

In the practical radar with multiple antennas, the antenna imperfections degrade the system performance. In this paper, the problem of estimating the direction of arrival (DOA) in…