activity
20222026
most citedMIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources

3 citations · 15 across the 22 of their papers we have counts for

collaborators

24 papers

eess.SP2026

Cyclic Delay-Doppler Shift: A Simple Transmit Diversity Technique for Ultra-Reliable Communications in Doubly Selective Channels

Haoran Yin, Yu Zhou, Yanqun Tang +7

Affine frequency division multiplexing (AFDM) and orthogonal time frequency space (OTFS) are two promising advanced waveforms proposed for reliable communications in high-mobility…

eess.SP2026

Integrated Channel Sounding and Communication: Requirements, Architecture, Challenges, and Key Technologies

Nanhao Zhou, Chao Zou, Yu Zhou +7

Channel models are essential for the design, evaluation, and optimization of wireless communication systems. The emerging space-air-ground-sea integrated network (SAGSIN), characte…

eess.SP2026

Flag-Preamble-Based Delay-Doppler Channel Estimation for Next-Evolution Waveforms

Yuan Liu, Yilin Qi, Caiqin Li +3

Accurate delay-Doppler channel estimation is critical for next-evolution waveforms (NEWs) to enable reliable signal detection. This paper proposes a robust channel estimation algor…

eess.SP2026

A Unified Multicarrier Waveform Framework for Next-generation Wireless Networks: Principles, Performance, and Challenges

Xingyao Zhang, Haoran Yin, Yanqun Tang +7

Next-generation wireless networks require enhanced flexibility, efficiency, and reliability in physical layer waveform design to address the challenges posed by heterogeneous chann…

eess.SP2025

Ambiguity Function Analysis of AFDM Under Pulse-Shaped Random ISAC Signaling

Yuanhan Ni, Fan Liu, Haoran Yin +2

This paper investigates the ambiguity function (AF) of the emerging affine frequency division multiplexing (AFDM) waveform for Integrated Sensing and Communication (ISAC) signaling…

eess.SP2025

ISAC with Affine Frequency Division Multiplexing: An FMCW-Based Signal Processing Perspective

Jiajun Zhu, Yanqun Tang, Cong Yi +5

This paper investigates the sensing potential of affine frequency division multiplexing (AFDM) in high-mobility integrated sensing and communication (ISAC) from the perspective of…

eess.SP2025

From OFDM to AFDM: Enabling Adaptive Integrated Sensing and Communication in High-Mobility Scenarios

Haoran Yin, Yanqun Tang, Jun Xiong +7

Integrated sensing and communication (ISAC) is a key feature of next-generation wireless networks, enabling a wide range of emerging applications such as vehicle-to-everything (V2X…

eess.SP2025

Affine Frequency Division Multiplexing for Communication and Channel Sounding: Requirements, Challenges, and Key Technologies

Yu Zhou, Chao Zou, Nanhao Zhou +8

Channel models are crucial for theoretical analysis, performance evaluation, and deployment of wireless communication systems. Traditional channel sounding systems are insufficient…

eess.SP2025

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications

Haoran Yin, Yanqun Tang, Yuanhan Ni +7

Affine frequency division multiplexing (AFDM) is a promising chirp-based waveform with high flexibility and resilience, making it well-suited for next-generation wireless networks,…

eess.SP2025★ 2 cited

Affine Frequency Division Multiplexing: Extending OFDM for Scenario-Flexibility and Resilience

Haoran Yin, Yanqun Tang, Ali Bemani +11

Next-generation wireless networks are conceived to provide reliable and high-data-rate communication services for diverse scenarios, such as vehicle-to-vehicle, unmanned aerial veh…

eess.SP2024

A DAFT Based Unified Waveform Design Framework for High-Mobility Communications

Xingyao Zhang, Haoran Yin, Yanqun Tang +4

With the increasing demand for multi-carrier communication in high-mobility scenarios, it is urgent to design new multi-carrier communication waveforms that can resist large delay-…

eess.SP2024

High-Precision Positioning with Continuous Delay and Doppler Shift using AFT-MC Waveforms

Cong Yi, Haoran Yin, Xianjie Lu +1

This paper explores a novel integrated localization and communication (ILAC) system using the affine Fourier transform multicarrier (AFT-MC) waveform. Specifically, we consider a m…

eess.SP2024★ 3 cited

GI-Free Pilot-Aided Channel Estimation for Affine Frequency Division Multiplexing Systems

Yu Zhou, Haoran Yin, Nanhao Zhou +3

The recently developed affine frequency division multiplexing (AFDM) can achieve full diversity in doubly selective channels, providing a comprehensive sparse representation of the…

eess.SP2023★ 1 cited

A Low-Complexity Range Estimation with Adjusted Affine Frequency Division Multiplexing Waveform

Jiajun Zhu, Yanqun Tang, Xizhang Wei +4

Affine frequency division multiplexing (AFDM) is a recently proposed communication waveform for time-varying channel scenarios. As a chirp-based multicarrier modulation technique i…

cs.IT2023

Error Performance of Coded AFDM Systems in Doubly Selective Channels

Haoran Yin

Affine frequency division multiplexing (AFDM) is a strong candidate for the sixth-generation wireless network thanks to its strong resilience to delay-Doppler spreads. In this lett…

eess.SP2023

A Phase-Coded Time-Domain Interleaved OTFS Waveform with Improved Ambiguity Function

Jiajun Zhu, Yanqun Tang, Chao Yang +4

Integrated sensing and communication (ISAC) is a significant application scenario in future wireless communication networks, and sensing capability of a waveform is always evaluate…

eess.AS2023

Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation

Yanjie Fu, Meng Ge, Honglong Wang +7

Recently, stunning improvements on multi-channel speech separation have been achieved by neural beamformers when direction information is available. However, most of them neglect t…

eess.SP2023★ 1 cited

An Overview of Resource Allocation in Integrated Sensing and Communication

Jinming Du, Yanqun Tang, Xizhang Wei +5

Integrated sensing and communication (ISAC) is considered as a promising solution for improving spectrum efficiency and relieving wireless spectrum congestion. This paper systemati…

eess.SP2023★ 1 cited

Overview and Performance Analysis of Various Waveforms in High Mobility Scenarios

Yu Zhou, Haoran Yin, Jiaojiao Xiong +5

In the high-mobility scenarios of next-generation wireless communication systems (beyond 5G/6G), the performance of orthogonal frequency division multiplexing (OFDM) deteriorates d…

eess.SP2023

Cyclic Delay-Doppler Shift: A Simple Transmit Diversity Technique for Delay-Doppler Waveforms in Doubly Selective Channels

Haoran Yin, Jiaojiao Xiong, Yu Zhou +4

Delay-Doppler waveform design has been considered as a promising solution to achieve reliable communication under high-mobility channels for the space-air-ground-integrated network…

eess.AS2022★ 1 cited

MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation

Yanjie Fu, Haoran Yin, Meng Ge +5

Recently, many deep learning based beamformers have been proposed for multi-channel speech separation. Nevertheless, most of them rely on extra cues known in advance, such as speak…

eess.AS2022★ 3 cited

MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources

Haoran Yin, Meng Ge, Yanjie Fu +5

Recent neural network based Direction of Arrival (DoA) estimation algorithms have performed well on unknown number of sound sources scenarios. These algorithms are usually achieved…

eess.AS2022

Iterative Sound Source Localization for Unknown Number of Sources

Yanjie Fu, Meng Ge, Haoran Yin +4

Sound source localization aims to seek the direction of arrival (DOA) of all sound sources from the observed multi-channel audio. For the practical problem of unknown number of sou…

cs.IT2022★ 3 cited

Diagonally Reconstructed Channel Estimation for MIMO-AFDM with Inter-Doppler Interference in Doubly Selective Channels

Haoran Yin, Xizhang Wei, Yanqun Tang +1

On the heels of orthogonal time frequency space (OTFS) modulation, the recently discovered affine frequency division multiplexing (AFDM) is a promising waveform for the sixth-gener…