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Kai Ying

5 accepted papers

2025

A Self-supervised UAV Detection Method Based on Channel State Information

ICASSP 2025accepted

Due to the widespread applications and potential security risks, unmanned aerial vehicle (UAV) detection has received increasing attention in recent years. Among the various methods, one promising method is wireless sensing with channel state information (CSI). However, most CSI-based approaches are…

Cited by 0SourceScholar
2025

Analysis and Calibration of Nonlinear Power Amplifiers in Wideband OFDM-Based LEO Satellite Communication System

ICASSP 2025accepted

Low earth orbit (LEO) satellite communication system is vital due to its global coverage and low latency. To meet higher data rates, orthogonal frequency division multiplexing (OFDM) technology is recommended for adoption. In this paper, we analyze the nonlinear behavior of high-power amplifier (HPA…

Cited by 0SourceScholar
2025

Near-field AoA estimation with Complex Convolutional Kolmogorov-Arnold Network

ICASSP 2025accepted

The development of 5G and beyond puts forward higher requirements for indoor positioning. However, conventional angle of arrival (AoA) estimation algorithms still rely on the far-field assumption, which is not applicable and may lead to a loss of accuracy. In this paper, we investigate the near-fiel…

Cited by 0SourceScholar
2025

Transfer Learning with Transformer and LSTM for Digital Pre-distortion of Terahertz/mmWave Transceiver

ICASSP 2025accepted

To ensure high-quality communication, it’s of great value to use digital pre-distortion (DPD) to linearize the core component power amplifier (PA) of terahertz/mmWave transceiver. In this work, we propose transfer learning with Transformer and LSTM for DPD of terahertz/mmWave transceiver, which uses…

Cited by 0SourceScholar
2016

Algorithm for DNA copy number variation detection with read depth and paramorphism information

ICASSP 2016accepted

Next-generation sequencing (NGS) has revolutionized the detection of structural variation in genome. Among NGS strategies, read depth is widely used and paramorphism information contained inside is generally ignored. We develop an algorithm that can fully exploit both read depth and paramorphism inf…

Cited by 0SourceScholar