Kuan-Ting Chen
National Chung Hsing University
5 Papers
10 Citations
Kuan-Ting Chen is an academic researcher from National Chung Hsing University. The author has contributed to research in topics: QR decomposition & Beamforming. The author has an hindex of 2, co-authored 5 publications.
Chat about Author
Papers
VLSI Design of a High Throughput Hybrid Precoding Processor for Wireless MIMO Systems
TL;DR: A new computing algorithm to achieve the matrix decomposition efficiently without compromising the performance is presented and the percentage of choosing correct steering vectors is 90%, which is as good as the OMP scheme can achieve.
An Enhanced MUSIC DoA Scanning Scheme for Array Radar Sensing in Autonomous Movers
Kuang-Ying Chang,Kuan-Ting Chen,Wei-Hsuan Ma,Yin-Tsung Hwang +3 more
- 18 Mar 2019
TL;DR: An enhanced MUltiple SIgnal Classification (MUSIC) scheme for Direction of Arrival (DoA) scanning using a linear antenna array system is presented to construct an obstruction map based on the DoA scanning results for an autonomous mover when navigating in a pedestrian rich environment.
6
A Low Complexity, High Throughput DoA Estimation Chip Design for Adaptive Beamforming
TL;DR: The algorithm complexity analysis shows that the proposed scheme outperforms other well-known estimation algorithms significantly under various system configurations and is close to that of the classic Estimation of Signal Parameters Via Rotational Invariance Techniques (ESPRIT) scheme but requires only one fifth of its computing complexity.
3
Projection Matching Pursuit based DoA Estimation Scheme and its FPGA Implementation
Wei-Hsuan Ma,Kuan-Ying Chang,Kuan-Ting Chen,Yin-Tsung Hwang,Jin-Fa Lin +4 more
- 06 Oct 2019
TL;DR: A low complexity direction of arrival (DoA) estimation scheme for adaptive beamforming uses projection matching pursuit based approach to improve the accuracy of angle estimation and QR decomposition is used to greatly reduce the computing complexity in finding the projection matrix.
1
Design and Chip Implementation of a SMI/MVDR Dual-Mode Beamformer for Wireless MIMO Communication Systems
TL;DR: This paper presents a low complexity chip design supporting dual-mode beamforming, i.e. sampling matrix inversion and the minimum variance distortionless response (MVDR), for wireless Multiple-Input Multiple-Output (MIMO) communication systems.