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2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)最新文献

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Image Sharpening by Selecting Number of Echoes in ISAR Imaging ISAR成像中选择回波数的图像锐化
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984589
Yizhou Chen, Junfeng Wang
{"title":"Image Sharpening by Selecting Number of Echoes in ISAR Imaging","authors":"Yizhou Chen, Junfeng Wang","doi":"10.1109/ICSPCC55723.2022.9984589","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984589","url":null,"abstract":"An algorithm is developed to sharpen the image by selecting the number of echoes in ISAR imaging. Entropy is used to measure the sharpness of the image: smaller entropy means larger sharpness. The number of echoes is selected to minimize the entropy of the image. In the optimization, the azimuth discrete Fourier transform of each round is computed from the azimuth discrete Fourier transform of last round. This improves the computational efficiency significantly. The results of field data indicate the effectiveness of this algorithm.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130365044","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
Cyclic shift spread spectrum code division multiple access underwater acoustic communication based on interference cancellation 基于干扰消除的循环移频扩频码分多址水声通信
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984475
Pengyu Du, Chao Wang, Xiaohui Zhu
{"title":"Cyclic shift spread spectrum code division multiple access underwater acoustic communication based on interference cancellation","authors":"Pengyu Du, Chao Wang, Xiaohui Zhu","doi":"10.1109/ICSPCC55723.2022.9984475","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984475","url":null,"abstract":"Code division multiple access (CDMA) underwater acoustic communication (UWC) can make multiple users communicate with the same channel resources at the same time by using the excellent correlation characteristics of spread spectrum sequences, which can significantly improve the efficiency of underwater acoustic communication network. However, the signal from a nearby user often creates a strong interference for the signal from a distant user in a CDMA communication network, which is known as the near-far problem. As power control is difficult to be applied in UWC networks, this paper proposes to use coordinate zeroing interference cancellation algorithm to suppress strong interference to solve the near-far problem, and make full use of the spatial differences of different user channels to further reduce multiple access interference (MAI). On this basis, cyclic shift spread spectrum (CSSS) coding is used to replace the traditional direct sequence spread spectrum (DSSS) coding, which significantly improves the efficiency of CDMA UWC system. At sea data show that under the condition of obvious near-far problem, 6-user low bit error rate UWC can be realized.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132612712","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
Cooperative UUVs Detection Task Scheduling Integrated with Underwater Acoustic Environments 集成水声环境的协同uuv探测任务调度
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984266
Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li
{"title":"Cooperative UUVs Detection Task Scheduling Integrated with Underwater Acoustic Environments","authors":"Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li","doi":"10.1109/ICSPCC55723.2022.9984266","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984266","url":null,"abstract":"Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131040181","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
DOA estimation for beam scanning radar based on sparse signal reconstruction with incomplete pulse 基于不完全脉冲稀疏信号重构的波束扫描雷达DOA估计
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984587
Ran Wu, Yan Zhang, Lihua Ni, Kecheng Zhang, Ning Liu, Qun Wan
{"title":"DOA estimation for beam scanning radar based on sparse signal reconstruction with incomplete pulse","authors":"Ran Wu, Yan Zhang, Lihua Ni, Kecheng Zhang, Ning Liu, Qun Wan","doi":"10.1109/ICSPCC55723.2022.9984587","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984587","url":null,"abstract":"Direction of Arrival (DOA) is one of the commonly used measurement for source localization. However, the receiving equipment of modern electronic reconnaissance can not completely intercept the pulse signal in the complex and dense electromagnetic environment. Thus, it is not easy to accurately estimate its DOA, especially in the case of multiple targets. In order to solve this problem, we propose a sparse super-resolution DOA method to achieve DOA estimation incomplete pulse. Combined with compressed sensing theory, the complex DOA estimation problem is transformed into Basis Pursuit (BP) method based on the minimum ℓ1 norm optimization criterion. The method estimates the DOA by solving the optimal sparse vector that constitutes the signal and can detect multiple targets in the same range-azimuth unit. In addition, compared with the traditional direction-finding method using the BP method, our method can guarantee the performance of direction-finding while reducing the requirement of pulse integrity. The simulation results support the theoretical analysis.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"5 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131089686","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: 1
Deep Residual Shrinkage Network With Time-Frequency Features For Bearing Fault Diagnosis 基于时频特征的深度残余收缩网络轴承故障诊断
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984603
Guoxuan Ma, Junnan Zhuo, Wei Gao, Jing Chen
{"title":"Deep Residual Shrinkage Network With Time-Frequency Features For Bearing Fault Diagnosis","authors":"Guoxuan Ma, Junnan Zhuo, Wei Gao, Jing Chen","doi":"10.1109/ICSPCC55723.2022.9984603","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984603","url":null,"abstract":"The rolling bearing is one of key components to guarantee the safe operation of rotating machinery widely applied in industry. However, rolling bearing working in the complex environment often leads to failure, which may destroy the stability of rotating machinery and cause potential personnel safety hazards. Therefore, the precise fault diagnosis of bearings is significant to industrial system. In this paper, we proposed a fault diagnosis model based on the deep residual shrinkage network (DRSN) using the continuous wavelet transform (CWT). Firstly, the one-dimensional time-domain vibration signals collected from bearings are transformed into two-dimensional time-frequency map by CWT as the inputs of the fault diagnosis model. Then, the structure of DSRN is adjusted to be used for the classification of two-dimensional fault time-frequency maps. Moreover, the DSRN integrates a soft threshold module in each residual unit to eliminate the redundant noises in fault samples. Last, we use the bearing data from Case Western Reserve University (CWRU) to verify the effectiveness of our proposed fault diagnosis model. The experimental results demonstrate that the proposed model exhibits good fault diagnosis ability compared with the other deep neural network model in the presence of strong noise.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"13 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114036008","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: 1
DOA Estimation Based on Sparse Reconstruction via Acoustic Vector Sensor Array under Non-uniform Noise 非均匀噪声下基于声矢量传感器阵列稀疏重建的DOA估计
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984571
Xiangshui Li, Weidong Wang, Hui Li, Wentao Shi
{"title":"DOA Estimation Based on Sparse Reconstruction via Acoustic Vector Sensor Array under Non-uniform Noise","authors":"Xiangshui Li, Weidong Wang, Hui Li, Wentao Shi","doi":"10.1109/ICSPCC55723.2022.9984571","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984571","url":null,"abstract":"This paper aims to solve the reduction in direction of arrival estimated accuracy for the acoustic vector sensor array in the existence of non-uniform noise, and proposes an iterative sparse covariance matrix reconstruction (ISCMR) method. We first define a virtual manifold matrix and establish the cost function based on the covariance matrix fitting criterion. Then, using the properties of Frobenius norm to derive the analytical expression of the cost function. Furthermore, the sparse covariance matrix is reconstructed according to the estimated power of sparse signal and noise until the iteration is terminated. Finally, a more exactly DOA estimation is completed by searching spectral peaks on the sparse signal power. The superior performance of the proposed method, comparison with the existing methods, is proved by simulation results in the existence of non-uniform noise.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115088302","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: 1
Blind Modulation Recognition of UWA Signals with Semi-Supervised Learning 半监督学习的UWA信号盲调制识别
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984242
Zehong Xu, Xiurong Wu, Daqing Gao, W. Su
{"title":"Blind Modulation Recognition of UWA Signals with Semi-Supervised Learning","authors":"Zehong Xu, Xiurong Wu, Daqing Gao, W. Su","doi":"10.1109/ICSPCC55723.2022.9984242","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984242","url":null,"abstract":"Blind modulation recognition is one of the most important component of the intelligent communication. Recent years, supervised learning is proved to be an effective way to solve this problem. But in time space varying underwater acoustic (UWA) channels, high quality labeled data is very difficult to obtain. To solve this problem, we put forward a semi-supervised learning-based blind modulation recognition scheme SSLUWA for UWA signals. This scheme linearly interpolates the unlabeled signal as fake label, and trains it by interpolation consistency. It can test the knowledge learned from the labeled signals by the accuracy of training on unlabeled signals, to improve the recognition accuracy when the labeled signals are insufficient. In order to verify the performance of SSLUMA, extensive pool and simulation experiments have been conducted. The results show that, compared with 100% label samples, the recognition accuracy of the SSLUWA decreases slightly at low SNR when the label samples are only 10%.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125797911","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
Segmented Underwater Terrain Matching Based on Q-Learning 基于q -学习的水下地形分段匹配
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984258
Shilu Tan, Kunyun Du, Weidi Huang, Yougan Chen, Xiaomei Xu
{"title":"Segmented Underwater Terrain Matching Based on Q-Learning","authors":"Shilu Tan, Kunyun Du, Weidi Huang, Yougan Chen, Xiaomei Xu","doi":"10.1109/ICSPCC55723.2022.9984258","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984258","url":null,"abstract":"Underwater terrain matching is one of the important technologies for autonomous underwater vehicles (AUV) to achieve long-distance autonomous and precise positioning, and it is also one of the key technologies for ocean exploration. Because the terrain matching method similar to TERCOM (S-TERCOM) only considers the translation in underwater terrain matching process, in this paper we propose a segmented underwater terrain matching method based on Q-learning (S-UTMQ) to address this issue. The main idea of the proposed S-UTMQ method is to comprehensively consider the elevation data before and after the positioning nodes, and dynamically adjust the angle range of each positioning node for matching in real time based on Q-learning, so as to make the terrain matching process more accurate and efficient. The simulation results show that the proposed S-UTMQ method is more effective than the S-TERCOM in the case of different segment positioning lengths, different course angles and curves of trajectory, and has more advantages in accuracy and efficiency.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130490110","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
Research on Netted Detection Capability of Low-altitude Targets Based on 5G External Illuminators 基于5G外照明器的低空目标组网探测能力研究
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984615
Su Gu, Panpan Lv, Tianhui Yang, Peng Peng, Lin Fu
{"title":"Research on Netted Detection Capability of Low-altitude Targets Based on 5G External Illuminators","authors":"Su Gu, Panpan Lv, Tianhui Yang, Peng Peng, Lin Fu","doi":"10.1109/ICSPCC55723.2022.9984615","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984615","url":null,"abstract":"This paper researches the netted detection capability of low-altitude targets base on 5G external illuminators, aiming at the surveillance problem of low-altitude non-cooperative targets, represented by unmanned aerial vehicle (UAV). The 5G external illuminators have the characteristics of large bandwidth, short distance between base stations and high target resolution. This paper introduces the netted detection model based on 5G external illuminators by analyzing the characteristics of 5G signals, and studies the positional accuracy and velocity accuracy of low-altitude targets under the layout of multi-source single station by analyzing the detection coverage. The simulation results show that the netted detection base on 5G external illuminators will realize high-precision location and velocity measurement of low-altitude targets.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127920454","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: 1
Optimal UAVs placement for localization based on artificial hummingbird algorithm 基于人工蜂鸟算法的无人机定位优化布局
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984618
Mengxin Wang, Wenjing Jiang, Xianglong Ye, Zheng-wei Wang, Jie Li, Zhigang Liu
{"title":"Optimal UAVs placement for localization based on artificial hummingbird algorithm","authors":"Mengxin Wang, Wenjing Jiang, Xianglong Ye, Zheng-wei Wang, Jie Li, Zhigang Liu","doi":"10.1109/ICSPCC55723.2022.9984618","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984618","url":null,"abstract":"In order to improve the positioning accuracy of the UAVs formation, this paper presents a method to optimize the UAVs formation based on artificial hummingbird algorithm(AHA). Firstly, a target area is delimited according to the target location estimate obtained from the preliminary reconnaissance of the UAVs formation and the radius set in advance, then the objective function of this optimization problem is constructed and the AHA is used to solve the objective function to optimize the formation of UAVs. The simulation result shows that the positioning accuracy of the UAVs formation can be improved effectively by this method, and compared with PSO, GWO and SSA, AHA has better performance in this problem scenario.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455924","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
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