Search Results for author: Shunqiao Sun

Found 8 papers, 0 papers with code

Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion

no code implementations13 Mar 2024 Arian Eamaz, Farhang Yeganegi, Yunqiao Hu, Mojtaba Soltanalian, Shunqiao Sun

This paper investigates the effects of coarse quantization with mixed precision on measurements obtained from sparse linear arrays, synthesized by a collaborative automotive radar sensing strategy.

Matrix Completion Quantization

Performance Evaluation and Analysis of Thresholding-based Interference Mitigation for Automotive Radar Systems

no code implementations21 Feb 2024 Jun Li, Jihwan Youn, Ryan Wu, Jeroen Overdevest, Shunqiao Sun

In automotive radar, time-domain thresholding (TD-TH) and time-frequency domain thresholding (TFD-TH) are crucial techniques underpinning numerous interference mitigation methods.

Automotive Radar Sensing with Sparse Linear Arrays Using One-Bit Hankel Matrix Completion

no code implementations9 Dec 2023 Arian Eamaz, Farhang Yeganegi, Yunqiao Hu, Shunqiao Sun, Mojtaba Soltanalian

The design of sparse linear arrays has proven instrumental in the implementation of cost-effective and efficient automotive radar systems for high-resolution imaging.

Matrix Completion Quantization

Interpretable and Efficient Beamforming-Based Deep Learning for Single Snapshot DOA Estimation

no code implementations14 Sep 2023 Ruxin Zheng, Shunqiao Sun, Hongshan Liu, Honglei Chen, Jian Li

We introduce an interpretable deep learning approach for direction of arrival (DOA) estimation with a single snapshot.

Compressive Sensing

Widely Separated MIMO Radar Using Matrix Completion

no code implementations29 Aug 2023 Shunqiao Sun, Yunqiao Hu, Kumar Vijay Mishra, Athina P. Petropulu

We present a low-complexity widely separated multiple-input-multiple-output (WS-MIMO) radar that samples the signals at each of its multiple receivers at reduced rates.

Matrix Completion

Beyond Point Clouds: A Knowledge-Aided High Resolution Imaging Radar Deep Detector for Autonomous Driving

no code implementations1 Nov 2021 Ruxin Zheng, Shunqiao Sun, David Scharff, Teresa Wu

We present a multi-input multi-output (MIMO) radar transmit and receive signal processing chain, a knowledge-aided approach exploiting the radar domain knowledge and signal structure, to generate high resolution radar range-azimuth spectra for object detection and classification using deep neural networks.

Autonomous Driving object-detection +1

A Joint Design of MIMO-OFDM Dual-Function Radar Communication System Using Generalized Spatial Modulation

no code implementations7 Jul 2020 Zhaoyi Xu, Athina Petropulu, Shunqiao Sun

The private subcarriers are used to synthesize a virtual array for high angular resolution, and also for improved estimation on the active antenna indices.

Cannot find the paper you are looking for? You can Submit a new open access paper.