2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)最新文献

Millimeter-Wave Massive MIMO Channel Estimation in Relay Environment 中继环境下毫米波海量MIMO信道估计

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232108

Zheng-tang Liu, Jing He, Yuanzhi Chen, Jianhe Du, Jiaqi Li

引用次数: 0

A Novel Parameter Estimation Scheme for Noncooperative Binary Offset Carrier Modulated Signals 一种新的非合作二进制偏置载波调制信号参数估计方法

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232094

Yongfeng Wu, Huaiyu Tang, Rui Xue

{"title":"A Novel Parameter Estimation Scheme for Noncooperative Binary Offset Carrier Modulated Signals","authors":"Yongfeng Wu, Huaiyu Tang, Rui Xue","doi":"10.1109/ICICSP50920.2020.9232094","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232094","url":null,"abstract":"The binary offset carrier (BOC) modulation has become one of the main global navigation satellite system (GNSS) modulations due to its strong anti-interference capability and high ranging accuracy. Noncooperative BOC parameter estimation is beneficial to signal acquisition, tracking, and the evaluation of mutual interference among different GNSSs. This paper proposes a novel parameter estimation scheme to improve the parameter estimation performance of BOC modulated signals under a low signal-to-noise ratio (SNR) scenario. The scheme is divided into two parts to realize the estimation of the carrier frequency, subcarrier frequency, and pseudo code rate of BOC modulated signals. The first part uses the spectral center method to estimate the carrier frequency, and the second part uses an improved peak-to-peak distance method to estimate the subcarrier frequency and pseudo code rate. Simulation results show that the spectral center method for carrier frequency estimation is more stable and easier to implement than the traditional square frequency method. Meanwhile, the improved peak-to-peak distance method for the estimation of subcarrier frequency and pseudo code rate has higher accuracy than the traditional peak-to-peak distance method under low SNR.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125182632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Class E Power Amplifier With Shunt Filter under Different Duty Cycles 不同占空比下带并联滤波器的E类功率放大器分析

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232044

Hua Zaijun, Huang Fengchen, Liu Jianni, Chen Zhao

引用次数: 1

Compound Model of Navigation Interference Recognition Based on Deep Sparse Denoising Auto-encoder 基于深度稀疏去噪自编码器的导航干扰识别复合模型

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232127

Zhen Xu, Zhengmin Wu

引用次数: 0

A Digital Modulation Recognition Method Based on Uniform Linear Array 一种基于均匀线性阵列的数字调制识别方法

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232068

Yang Yangqiang, Wu Dong, Yang Lifen

引用次数: 0

Demystifying the Rumbling Noise Generated from the Elevator Machine Room 揭开电梯机房隆隆声的神秘面纱

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232110

Alex Shi

{"title":"Demystifying the Rumbling Noise Generated from the Elevator Machine Room","authors":"Alex Shi","doi":"10.1109/ICICSP50920.2020.9232110","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232110","url":null,"abstract":"When an elevator is operating, there is often a cacophonous rumbling sound emanating from its machine room. Commonly the elevator companies claim no responsibility, citing that the overall sound pressure level (SPL) is legally compliant. However, clearly, SPL alone cannot fully represent the perceivable sound quality of the noise from the machine room. A smart phone has been used to record this noise, and the audio clip has been converted into time-domain signals. These digitalized signals have then been comprehensively analyzed by tools such as, but not limited to Fast Fourier Transformation (FFT), Short-time Fourier Transformation (STFT), and Wavelet functions. This visualized noise analysis in turn points to the fact that it is the tonality and fluctuations in the noise signal that make the acoustic noise of elevator machine so jarring to the ears despite its acceptable SPL level, prompting the negative psychoacoustic reactions of the residents. The resulting analysis demystifies the noise and has convinced elevator companies to replace their machines, paving a new path to be used for victims globally suffering from discomforting elevator noise. Furthermore, elevator companies should use similar analysis to improve its designs and manufacturing so as to improve overall perceived sound quality.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129333976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of Channel Coding Techniques for Massive Machine-Type Communication in 5G Cellular Network 5G蜂窝网络中海量机器通信信道编码技术评价

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232037

Muhammad Huseen Khan, Gongxuan Zhang

{"title":"Evaluation of Channel Coding Techniques for Massive Machine-Type Communication in 5G Cellular Network","authors":"Muhammad Huseen Khan, Gongxuan Zhang","doi":"10.1109/ICICSP50920.2020.9232037","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232037","url":null,"abstract":"Recently, an intensive discussion on candidate channel coding schemes for the fifth-generation (5G) mobile communication systems has been carried out both in academia and industry. We added to this discussion by providing a comparison between two capacity-achieving channel codes: Low-density Parity-Check (LDPC) codes and Polar codes. The considered codes have been selected as the standard for 5G New Radio (NR) by the 3rd Generation Partnership Project (3GPP). We investigate these codes in terms of Frame Error Rate (FER) on small and moderate length message transmission in the context of Massive Machine type communication (mMTC). Multiple decoding implementation schemes are considered for both codes and compare their error correction performance over an Additive White Gaussian Noise (AWGN) channel. The simulation results reveal that polar codes under the Cyclic redundancy code (CRC) aided Successive Cancellation list (CA-SCL) decoding performs better as compared to other decoding patterns in terms of reliability. Furthermore, we analyze the impact of CRC length on the decoding performance of CA-SCL.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114200391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Metro Pedestrian Detection Based on Mask R-CNN and Spatial-temporal Feature 基于掩模R-CNN和时空特征的地铁行人检测

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232096

Guochen Shen, Faezeh Jamshidi, Decun Dong, Rei ZhG

引用次数: 0

Land Cover Classification of Huixian Wetland Based on SAR and Optical Image Fusion 基于SAR和光学图像融合的辉县湿地土地覆盖分类

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232103

Jianming Xiao, Yu Xiao, Xiyan Sun, Jianhua Huang, Haokun Wang

{"title":"Land Cover Classification of Huixian Wetland Based on SAR and Optical Image Fusion","authors":"Jianming Xiao, Yu Xiao, Xiyan Sun, Jianhua Huang, Haokun Wang","doi":"10.1109/ICICSP50920.2020.9232103","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232103","url":null,"abstract":"In this paper, GF-1 WVF image and Sentinel-1 SAR image covering Huixian wetland area are used as data sources. The Gram Schmidt (GS) algorithm is first used to fuse GF-1 images and SAR images with different polarization modes, and then the Random Forest (RF) algorithm is used for supervised classification. Finally, the accuracy of classification results and the ability to extract information are compared. The experimental results show that the fusion image has obvious texture features and prominent karst landform features, compared with the GF-1 WVF image. Compared with the Sentinel-1 SAR image, the fusion image has obvious spectral features. Spectral differences between typical features are large; The overall classification accuracy of GF-1 images, GF-1 and Sentinel-1 VV polarization fusion images, and GF-1 and Sentinel-1 VH polarization fusion images have reached over 80%. The classification accuracy of GF-1 and Sentinel-1 VV polarization fusion images reaches 85.15%, which is better than GF-1 and Sentinel-1 VH polarization fusion images. The classification accuracy of water bodies in the VV polarization fusion image is better than that of GF-1. Bare ground has the highest classification accuracy among all fused images.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121467657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A robust matching algorithm for shape recognition based on geometric consistency 基于几何一致性的形状识别鲁棒匹配算法

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232082

Wei Wang, Jianhua Shi, Bing Lei, Jin Liu, Jiajing He

引用次数: 0