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Your search keyword '"Song, Chunyi"' showing total 187 results
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187 results on '"Song, Chunyi"'

1. A Novel Multi-satellite Tracking Algorithm for the LEO Satellite Communications

Author

Liu, Mengyue, Chen, Haotian, Ma, Zixian, Lan, Bing, Song, Chunyi, Xu, Zhiwei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, and Ma, Maode, editor

Published
2024
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3. MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm

Author

Xie, Zhouzhen, Song, Yuying, Wu, Jingxuan, Li, Zecheng, Song, Chunyi, and Xu, Zhiwei

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Monocular 3D object detection is very challenging in autonomous driving due to the lack of depth information. This paper proposes a one-stage monocular 3D object detection algorithm based on multi-scale depth stratification, which uses the anchor-free method to detect 3D objects in a per-pixel prediction. In the proposed MDS-Net, a novel depth-based stratification structure is developed to improve the network's ability of depth prediction by establishing mathematical models between depth and image size of objects. A new angle loss function is then developed to further improve the accuracy of the angle prediction and increase the convergence speed of training. An optimized soft-NMS is finally applied in the post-processing stage to adjust the confidence of candidate boxes. Experiments on the KITTI benchmark show that the MDS-Net outperforms the existing monocular 3D detection methods in 3D detection and BEV detection tasks while fulfilling real-time requirements., Comment: 9 pages

Published
2022

4. Newtonalized Orthogonal Matching Pursuit for Linear Frequency Modulated Pulse Frequency Agile Radar

Author

Zhu, Jiang, Guo, Honghui, Zhang, Ning, Song, Chunyi, and Xu, Zhiwei

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

The linear frequency modulated (LFM) frequency agile radar (FAR) can synthesize a wide signal bandwidth through coherent processing while keeping the bandwidth of each pulse narrow. In this way, high range resolution profiles (HRRP) can be obtained without increasing the hardware system cost. Furthermore, the agility provides improved both robustness to jamming and spectrum efficiency. Motivated by the Newtonalized orthogonal matching pursuit (NOMP) for line spectral estimation problem, the NOMP for the FAR radar termed as NOMP-FAR is designed to process each coarse range bin to extract the HRRP and velocities of multiple targets, including the guide for determining the oversampling factor and the stopping criterion. In addition, it is shown that the target will cause false alarm in the nearby coarse range bins, a postprocessing algorithm is then proposed to suppress the ghost targets. Numerical simulations are conducted to demonstrate the effectiveness of NOMP-FAR.

Published
2021

5. Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning

Author

Zhu, Jiang, Liu, Zhennan, Zhang, Qi, Song, Chunyi, and Xu, Zhiwei

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

The recovery of a low rank matrix from a subset of noisy low-precision quantized samples arises in several applications such as collaborative filtering, intelligent recommendation and millimeter wave channel estimation with few bit ADCs. In this paper, a generalized sparse Bayesian learning (Gr-SBL) combining expectation propagation (EP) is proposed to solve the matrix completion (MC), which is termed as MC-Gr-SBL. The MC-Gr-SBL automatically estimates the rank, the factors and their covariance matrices, and the noise variance. In addition, MC-Gr-SBL is proposed to solve the two dimensional line spectral estimation problem by incorporating the MUSIC algorithm. Finally, substantial numerical experiments are conducted to verify the effectiveness of the proposed algorithm.

Published
2019

16. A C-Band Slat-Type Phased-Array Receiver With Co-Aperture Concurrent Eight Beams

Author

Li, Nayu, Xie, Xinhong, Zhou, Jingying, Lan, Bing, Lu, Hang, Qi, Xiaokang, Wang, Shaogang, Gao, Huiyan, Song, Chunyi, Gu, Qun Jane, and Xu, Zhiwei

Abstract

This article presents a $C$ -band multibeam phased-array receiver for high-throughput wireless communications. The proposed four-element beamformer supports 1–8 co-aperture simultaneously reconfigurable beams and demonstrates a 23-dB gain and a 6.5-dB noise figure (NF) at 5 GHz. In addition, it leverages a large-signal nonlinearity cancellation scheme and achieves a −10.8-dBm input 1-dB gain compression point (IP1dB) and a −4.7-dBm input third-order intermodulation intercept point (IIP3) at 5.5 GHz. By using the proposed merged gain-programmable phase shifter (GPS) technique, the beamformer achieves 32-path amplitude and phase control with high accuracy and a compact chip area. The entire chip occupies $6.4\times3.1$ mm2 area and consumes 1265 mW. To tackle the design challenge of the onboard multibeam-forming network, the proposed receive phased array adopts a scalable slat-type array configuration, enabling a low-cost design with high isolation. To the authors’ knowledge, this work demonstrates the largest number of concurrent co-aperture beams among integrated radio frequency (RF)-beamforming phased arrays.

Published
2024
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33. A 27 - 57 GHz Down-conversion Mixer with Bulk Injection Technique

Author

Dong, Qianyi, primary, Qiu, Liang, additional, Wang, Shengjie, additional, Gao, Huiyan, additional, Zhao, Kailong, additional, Qian, Zhonglan, additional, Chen, Jiangbo, additional, Kuan, Yen-Cheng, additional, Gu, Qun Jane, additional, Song, Chunyi, additional, and Xu, Zhiwei, additional

Published
2022
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