2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)最新文献_第5页

Tow Ship Interference Suppression for Towed Array Sonar via Subspace Reconstruction 基于子空间重构的拖曳阵声呐拖船干扰抑制

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555587

Jiutao Wu, Xinrong Cao, Yawei Chen, Jun Sun

{"title":"Tow Ship Interference Suppression for Towed Array Sonar via Subspace Reconstruction","authors":"Jiutao Wu, Xinrong Cao, Yawei Chen, Jun Sun","doi":"10.1109/WCSP.2018.8555587","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555587","url":null,"abstract":"As a major interference for towed array sonar, tow ship noise severely decreases the array’s detection ability and effective azimuth range due to its high intensity and wide azimuth spread range. To solve this problem, a subspace reconstruction based technique, which takes advantage of the multiple signal classification (MUSIC) algorithm and tow ship interference’s unique features (including partial coherence, high intensity, and multipath effect), is utilized to suppress the tow ship interference in this paper. This technique is achieved by separating the eigenspace into target subspace, interference subspace, and noise subspace, and then combing the last two into a whole interference-noise subspace to conduct the MUSIC processing. Through principle analysis, we demonstrated that the steering vectors of signals are almost orthogonal to the interference-noise subspace, enabling this technique to suppress the tow ship interference as well as retain the signal output. Moreover, this technique could achieve simultaneous suppression of all the multipath interferences in the interference-noise subspace, making it a superior approach to eliminate the tow ship interference’s azimuth spread. The validity and unique advantages of this method are further demonstrated in simulation and real data processing, which present improved target detectability and display effect.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130759226","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

A ResNet-DNN based Channel Estimation and Equalization Scheme in FBMC/OQAM Systems 基于ResNet-DNN的FBMC/OQAM系统信道估计与均衡方案

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555649

Xing Cheng, Dejun Liu, Zhengyu Zhu, Wenzhe Shi, Y. Li

引用次数: 15

Location information Aided Massive-MIMO Beam Domain Precoding for Next Generation Railway Mobile Communications 新一代铁路移动通信中位置信息辅助的海量mimo波束域预编码

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555852

Tengfei Ge, Youyun Xu, Dapeng Li, Jianping Chen

引用次数: 0

Energy-efficient Deployment of Fat-Tree Hybrid Data Center Networks 胖树混合数据中心网络的节能部署

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555630

Mingmeng Luo, Hongguang Sun, Min Sheng, Yan Shi, Jiandong Li

{"title":"Energy-efficient Deployment of Fat-Tree Hybrid Data Center Networks","authors":"Mingmeng Luo, Hongguang Sun, Min Sheng, Yan Shi, Jiandong Li","doi":"10.1109/WCSP.2018.8555630","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555630","url":null,"abstract":"Augmenting 60GHz wireless device to the Top-of- Rack (ToR) switch to build hybrid Data Center Network (hybrid DCN) is proven to be effective in alleviating traffic congestion in DCN. However, wireless transmissions at very high frequency suffer from limitations of short transmission range, blockage, and interference. In the Fat-Tree hybrid DCN, ToRs are classified into two types: ToRs within the same pod (intra-pod ToR) and ToRs between different pods (inter-pod ToR). To establish wireless links between inter-pod ToR switches is more efficient than that within the intra-pod, due to the reduction of switches and the cost resulting from multihop transmissions. In this paper, we propose an energy-efficient offline deployment scheme to construct the Fat-Tree hybrid DCN by jointly considering the wired and wireless links. The proposed sheme can maximize the number of wireless links between inter-pod ToRs and make the wireless links distribute evenly among different pods. The numerical results show that the proposed scheme can potentially exploit the wireless links between different pods to enhance the network energy efficiency by reducing the average path length and the use of switches in the hybrid DCNs.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480406","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

Robust Visual Tracking via Hierarchical Convolutional Features-Based Sparse Learning 基于分层卷积特征的稀疏学习鲁棒视觉跟踪

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555868

Ziang Ma, Wei Lu, Jun Yin, Xingming Zhang

{"title":"Robust Visual Tracking via Hierarchical Convolutional Features-Based Sparse Learning","authors":"Ziang Ma, Wei Lu, Jun Yin, Xingming Zhang","doi":"10.1109/WCSP.2018.8555868","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555868","url":null,"abstract":"In recent years, convolutional features have significantly advanced the Discriminative Correlation Filter (DCF) based trackers. In contrast to hand-crafted ones, features extracted from a CNN retain high spatial resolution while preserving semantic information. The improvements come at the risk of reduction in speed and over-fitting caused by the insufficiency of training data for tracking. In this paper, a novel Hierarchical Convolutional Features and Sparse learning based Tracker (HCFST) is proposed. We effectively tackle the issues of computational bottlenecks and over-fitting in the DCF formulation via the multi-task sparse learning. First, most of the noisy and irrelevant feature maps are safely removed for robust appearance modeling. Redundant features rejection effectively mitigates the redundancy among features from hierarchical layers of CNNs. Then a sparser updating scheme is further presented for conditional model update. Extensive experiments are performed on various challenging sequences from OTB50 and OTB100 datasets. The proposed HCFST performs favorably against state-of-the-art methods.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129287315","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

A Feature Set for the Similar Activity Recognition Using Smartphone 智能手机相似活动识别的特征集

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555704

Na Yan, Jianxin Chen, Tao Yu

引用次数: 5

Experimental Evaluation of A Novel Antenna Structure:Multi-Panel Massive MIMO 一种新型天线结构的实验评价:多面板大规模MIMO

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555881

Zheng Jiang, Peng Chen, Fengyi Yang, Q. Bi

{"title":"Experimental Evaluation of A Novel Antenna Structure:Multi-Panel Massive MIMO","authors":"Zheng Jiang, Peng Chen, Fengyi Yang, Q. Bi","doi":"10.1109/WCSP.2018.8555881","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555881","url":null,"abstract":"With evolution of wireless communication, the next generation (5G) cellular system emerged and aimed at providing three times higher spectrum efficiency compared with LTE-Advanced system for enhanced Mobile Broadband. Massive MIMO is considered as one of the most important technologies to achieve the purpose and its benefits have been proved by theoretical analysis and field trials. However, the antenna size and weight have become the bottlenecks on the deployment in the realistic network. To tackle this problem, a novel flexible antenna structure for massive MIMO, known as multi-panel massive MIMO, was proposed and attracted broad attention in 3GPP NR (New Radio). Currently the performance of the multi-panel massive MIMO is studied in literature by the numerical simulation, however the field measurements to characterize the actual performance of multi-panel massive MIMO have been scarce so far. In this article, we first present a detailed description of our developed multi-panel massive MIMO prototype and then provide our radiation pattern measurement results and field test results. These experimental measurement results not only justify the validity of the coverage beamforming pattern, but also demonstrate that the multi-panel massive MIMO can achieve significant throughout gain. Based on these measurement results, it can be seen that multi-panel massive MIMO will be a novel practical antenna array structure for massive MIMO flexible deployment in the next generation cellular systems.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125552053","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: 3

A Hybrid Decoding Algorithm for Low-Rate LDPC codes in 5G 5G低速率LDPC码的混合译码算法

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555597

K. Sun, Ming Jiang

引用次数: 9

DOA Estimation Method with the Distributed Nested Array 基于分布式嵌套阵列的DOA估计方法

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555888

Yanping Liao, Ruigang Zhao, Hongyan Liu

{"title":"DOA Estimation Method with the Distributed Nested Array","authors":"Yanping Liao, Ruigang Zhao, Hongyan Liu","doi":"10.1109/WCSP.2018.8555888","DOIUrl":"https://doi.org/10.1109/WCSP.2018.8555888","url":null,"abstract":"In this paper, we investigate the problem of direction of arrival (DOA) estimation in phased-array radar. The array consisting of two separated nested subarrays with dual baselines is used to form the DOA problem. And we present a new DOA estimation method, called weighting signal subspace MUSIC method (WSSMUSIC). By designing the separated nested array and using Khatri-Rao product processing, a large number of virtual array apertures are extended. With the redundancy removal and spatial smoothing, the rank of covariance matrix is restored. The short baseline within subarray yields non-ambiguous coarse DOA estimation by WSSMUSIC. Then the long baseline between subarray yields high accuracy and non-ambiguous DOA estimation by WSSMUSIC searching peak in search region which is determined by coarse DOA and main-lobe region. The virtual extension of aperture can be achieved for this array without increasing the number of sensors and computational complexity compared with traditional uniform linear array. And the proposed algorithm gives significant improvement in DOA estimation performance. The simulation results validate the theoretical algorithm.","PeriodicalId":423073,"journal":{"name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123106176","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

Joint Detection and Tracking via Path Planning in the Mobile Underwater Sensing Network 基于路径规划的移动水下传感网络联合检测与跟踪

2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2018-10-01 DOI: 10.1109/WCSP.2018.8555925

Chengchong Jiang, Jianlong Li, Wen Xu

引用次数: 3