International Conference on Signal Processing, Communications and Computing最新文献_第8页

Transmit beampattem design based on pulse compression with the mainlobe synthesized signal for MIMO radar 基于主瓣合成信号脉冲压缩的MIMO雷达发射波束设计

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242500

Yuan Liu, B. Jiu, Yuchun Shi, Hongwei Liu

引用次数: 1

Numerical Simulation and Experiment Research on Non-cavitation noise of Underwater Counterrotation Propellers 水下反向螺旋桨非空化噪声的数值模拟与实验研究

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2018.8567768

Sai Zeng, X. Su

{"title":"Numerical Simulation and Experiment Research on Non-cavitation noise of Underwater Counterrotation Propellers","authors":"Sai Zeng, X. Su","doi":"10.1109/ICSPCC.2018.8567768","DOIUrl":"https://doi.org/10.1109/ICSPCC.2018.8567768","url":null,"abstract":"The non-cavitation noise of counter-rotation propeller is one of the key factors for detection and recognition high speed underwater vehicles. A hybrid numerical simulation method of underwater counter-rotation propeller non-cavitation noise is presented in this paper. An experimental verification is also included. The sound pressure spectrum model is presented to describe its non-cavitation noise with application of generalized acoustic analogy method. The counter-rotation propeller noise is predicted by using frequency-domain acoustic analogy. The flow field is analyzed with computation fluid dynamics based on viscous flow theory. The flow field pressure is used for acoustic spectrum prediction. The numerical simulation results are verified by cavitation-tunnel experiment. Through the study, the counter-rotation propeller non-cavitation noise is analyzed. The overall results indicated that the numerical approach is reliable for predicting non-cavitation noise of counter-rotation propeller, which is beneficial for characteristics extraction and identification of underwater high-speed vehicles","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122250323","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

Accelerated solution of stiffness matrix for isoparametric elements based on CUDA 基于CUDA的等参单元刚度矩阵加速求解

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242497

Binxing Hu, Xinguo Li, Hao Qiao, Zenghao Li

{"title":"Accelerated solution of stiffness matrix for isoparametric elements based on CUDA","authors":"Binxing Hu, Xinguo Li, Hao Qiao, Zenghao Li","doi":"10.1109/ICSPCC.2017.8242497","DOIUrl":"https://doi.org/10.1109/ICSPCC.2017.8242497","url":null,"abstract":"High precision results in structural with the shortest time consumption are expected when methods are introduced to solve FEM(Finite element method). Solving of stiffness matrix assembled by isoparametric elements and solving the assembled stiffness matrix are the most time-consuming. In the previous serial algorithms, there is always a time limitation for some applications and it is hard to achieve. However, break-through in programming and feasibility of general-purpose applications executed on GPU (Graph Processing Unit), such as the parallel computing platform and programming model CUDA (Compute Unified Device Architecture) released by NVIDIA corporation, make it possible for some large scale FEM explicit dynamic simulation in real time. Authors present an approach to accelerate calculation in element stiffness matrices, taking the three-dimensional hexahedral isoparametric element in different scale as an example. A speedup of about 15 times is achieved with respect to parallel algorithms using boost on CPU. The results show that the parallel algorithm based on CUDA can satisfy the fast simulation of finite element model of structural problems with certain computational scale.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133445","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

Parameters Blind Estimation for Underwater Acoustic DSSS Signal 水声DSSS信号参数盲估计

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2018.8567822

Ningjie Huang, Yizhou Ge, Xiaoji Zhang, Qing Zhou

{"title":"Parameters Blind Estimation for Underwater Acoustic DSSS Signal","authors":"Ningjie Huang, Yizhou Ge, Xiaoji Zhang, Qing Zhou","doi":"10.1109/ICSPCC.2018.8567822","DOIUrl":"https://doi.org/10.1109/ICSPCC.2018.8567822","url":null,"abstract":"In recent years, with the exploitation of marine resources and the rapid development of marine environmental research, underwater acoustic communication technology has been a hot topic in the communication field. Underwater acoustic signal recognition and parameter estimation therefore have become increasingly attractive. Direct spread spectrum sequence signal(DSSS) is also widely used in the field of underwater acoustic communication. However, the complexity of the seawater environment is the reason for the multipath interference and low signal-to-noise ratio(SNR), which lead to great challenges and difficulties to the research of the underwater acoustic signal recognition and parameter estimation. This paper presents two efficient algorithms for estimating the parameters of the underwater acoustic DSSS signals. An approach of Triple Correlation Function(TCF) of the underwater acoustic DSSS signals is proposed, which can estimate the Pseudo Noise(PN) code sequence blindly. The period of PN code sequence is estimated by the reprocessed power spectrum method. Theoretic analysis and experimental results show that the two approaches are very robust, working well in the underwater acoustic environment with multipath interference and low SNR.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123016880","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

FOD detection based on millimeter wave radar using higher order statistics 基于高阶统计量的毫米波雷达FOD检测

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242467

Baoshuai Wang, Wei Zhang

引用次数: 8

The interacting multiple model algorithm based on adaptive Markov transition probability 基于自适应马尔可夫转移概率的交互多模型算法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242592

Ming-Yang Du, Daping Bi, Shuliang Wang

引用次数: 2

A computational-efficient turbo receiver for mobile underwater acoustic channels 一种计算效率高的移动水声信道涡轮接收器

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242520

Xuandi Sun, Zhe Jiang, Xiaohong Shen, Xin Wang

引用次数: 1

Non-linear stepped frequency waveform design method based on range ambiguity function 基于距离模糊函数的非线性阶跃频率波形设计方法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242391

M. Lv, L. Cheng, Jun Yang, Wei-shuai Yin

引用次数: 0

A compressed sensing sparse channel estimation method for unique word prefixed single carrier frequency domain equalization 一种用于唯一字前缀单载波频域均衡的压缩感知稀疏信道估计方法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2017.8242626

Qingwei Meng, Xiangru Meng, Zhiqiang Ma

引用次数: 1

A Rotor Target Recognition Method Based on Transfer Learning 基于迁移学习的转子目标识别方法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC55723.2022.9984257

M. Lv, Jun Yang, Ming Zhou, Xia Wu, Jian-chao Ma, L. Chen

引用次数: 0