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

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Self-noise characteristic analysis of a type of UUV 某型无人潜航器自噪声特性分析
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984568
Shuxun Liu, Qunfei Zhang, Wentao Shi
{"title":"Self-noise characteristic analysis of a type of UUV","authors":"Shuxun Liu, Qunfei Zhang, Wentao Shi","doi":"10.1109/ICSPCC55723.2022.9984568","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984568","url":null,"abstract":"In recent years, people have increasingly focused on underwater unmanned systems. Research efforts in communication and detection based on underwater unmanned systems have also become a priority. The working performance of the underwater communication and detection system will be affected not only by the external environmental noise but also by the self-noise generated by the underwater unmanned vehicle(UUV). To ensure the working performance of the underwater communication and detection system, the self-noise characteristics of the underwater unmanned system need to be explored. This paper introduces two main self-noise components and analyzes the self-noise data by Welch Spectral analysis and Time-Frequency analysis for the self-noise of 50kg -class UUV platform, and obtains the noteworthy self-noise characteristics. The analysis results in this paper could be some guidance to suppress the self-noise and thus improve the capability of the underwater communication and detection system.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"38 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":"122445597","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
Integrated Waveform Design Scheme Based on Underwater Detection and Communication 基于水下探测与通信的集成波形设计方案
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984531
Qixiang Niu, Qunfei Zhang, Wentao Shi
{"title":"Integrated Waveform Design Scheme Based on Underwater Detection and Communication","authors":"Qixiang Niu, Qunfei Zhang, Wentao Shi","doi":"10.1109/ICSPCC55723.2022.9984531","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984531","url":null,"abstract":"This paper presents a new integrated waveform design scheme for underwater detection and communication. The scheme ensures that the waveform has both communication and detection performance by modulating the communication base-band signal into the form of a detection signal. The generalized sinusoidal frequency modulation (GSFM) signal, which is suitable for underwater continuous active sonar detection, is selected as the detection signal carrier. The detection performance and target estimation performance were analyzed by comparing the ambiguity function, azimuth estimation and detection probability with the associated peak-to-average ratio as the test statistic for linear frequency modulation (LFM), GSFM and the designed waveform. By adjusting the GSFM parameters, a range of parameter values for the detection waveform carrier in the integrated waveform is obtained. The simulation results show the effectiveness of the proposed waveform design method.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"177 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":"124893802","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
Design and implementation of LoRa geolocation algorithm in NS3 network simulator NS3网络模拟器中LoRa定位算法的设计与实现
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984595
Mingyao Chen, Honggang Zhao, Dezhi Niu, Chen Shi, Xiaoyu Chen, Xiao Zhang
{"title":"Design and implementation of LoRa geolocation algorithm in NS3 network simulator","authors":"Mingyao Chen, Honggang Zhao, Dezhi Niu, Chen Shi, Xiaoyu Chen, Xiao Zhang","doi":"10.1109/ICSPCC55723.2022.9984595","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984595","url":null,"abstract":"In recent years, TDOA-based LoRa geolocation technology is favored by IOT researchers. However, the current researches on this technology are mostly physical experiments, which are not scalable enough. In this paper, the highly open source NS3 network simulator is used to design and implement the LoRa geolocation process based on TDOA. On the basis of the existing LoRaWAN module, the gateway receiving time extraction, clock noise simulation and TDOA-based coordinate solving algorithm are added to simulate the performance of LoRa geolocation in the noise environment. Simulation results show that the improved LoRaWAN module can support the realization of LoRa geolocation well, and the simulation results conform to the TDOA positioning accuracy range in the LoRaWAN geolocation whitepaper published by LoRa Alliance. Specifically, when the standard deviation of gateway clock noise is 100ns and the gateways adopt the strategy of uneven distribution, the mean error of LoRa geolocation using three gateways is 130.36m, and the mean error of LoRa geolocation using five gateways is 33.00m. This simulation provides a basic platform for LoRa geolocation research and can be used for reference by subsequent researchers.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"19 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":"128324329","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
Adaptive TDMA Protocol Based on LSTM Network for Underwater Acoustic Networks 基于LSTM网络的水声网络自适应TDMA协议
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984438
Jucheng Zhang, Jiaye Xu, Wanting Ming, Dajun Sun
{"title":"Adaptive TDMA Protocol Based on LSTM Network for Underwater Acoustic Networks","authors":"Jucheng Zhang, Jiaye Xu, Wanting Ming, Dajun Sun","doi":"10.1109/ICSPCC55723.2022.9984438","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984438","url":null,"abstract":"Data collision or low communication efficiency exist in communication between nodes with the long delay of data transmission in an underwater acoustic network. Therefore, a stable and efficient MAC protocol is a valuable research in underwater information interaction. Among them, the traditional TDMA protocol is widely used because of its simple implementation and effective avoidance of data collision. However, traditional TDMA behaves poor with low channel utilization. To solve this problem, this paper proposes an adaptive TDMA based on mobile nodes without location. Based on the traditional TDMA protocol, the adaptive TDMA integrates long short-term memory (LSTM) network and Q-learning algorithms to predict and adjust the idle waiting slot dynamically before the sending time of each AUV node. Compared with the traditional TDMA and ALOHA, the simulation results show that the the adaptive TDMA based on the LSTM network reduces the end-to-end delay of each node, improves the network throughput, and realizes efficient transmission of underwater information without collision.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"29 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":"125996268","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
Semi-Tensor Product based Multi-modal Fusion Method for Emotion Recognition 基于半张量积的多模态融合情感识别方法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984246
Fen Liu, Jianfeng Chen, Kemeng Li, Jisheng Bai
{"title":"Semi-Tensor Product based Multi-modal Fusion Method for Emotion Recognition","authors":"Fen Liu, Jianfeng Chen, Kemeng Li, Jisheng Bai","doi":"10.1109/ICSPCC55723.2022.9984246","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984246","url":null,"abstract":"Emotion recognition has been an important research topic in the field of human-computer interaction. Multi-modal emotion recognition makes full use of the complementarity of different modalities, which has greater advantages than single-modal emotion recognition. Traditional methods have low prediction performance and limited dimension of tensor fusion caused by inadequate multi-modal information fusion. In this paper, we proposed the semi-tensor product and attention based low-rank multi-modal fusion network (STALMF) for emotion recognition. We first use the semi-tensor product to effectively combine acoustic and language features. The self-attention module is then used for modeling the temporal dependencies of the fused features. Finally, the low-rank multi-modal fusion module is adopted to adequately fuse the information between the fused feature and the individual feature. We conducted our proposed method on the IEMOCAP dataset. The proposed method achieves an averaged F1 score of 82.4% and accuracy of 83.0%, outperforming the comparative methods. Experimental results show that the proposed method can effectively fuse multi-modal information by introducing the semi-tensor product, self-attention mechanism and low-rank multi-modal fusion module.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"75 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":"127266528","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
Dereverberation and Noise Reduction Based on PSD Estimation with Low Complexity 基于低复杂度PSD估计的去噪降噪方法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984488
Ting Liu, C. Bao, Jing Zhou, Fengqi Tan
{"title":"Dereverberation and Noise Reduction Based on PSD Estimation with Low Complexity","authors":"Ting Liu, C. Bao, Jing Zhou, Fengqi Tan","doi":"10.1109/ICSPCC55723.2022.9984488","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984488","url":null,"abstract":"In the far-field scene with noise and reverberation, the integrated sidelobe cancellation and linear prediction (ISCLP) method can simultaneously implement spatial filtering and deconvolution to effectively suppress additive noise and reverberation, but it has high complexity for calculating power spectral density (PSD). In order to reduce this complexity, the power-based PSD estimation method instead of the generalized eigenvalue decomposition (GEVD) is proposed in this paper to obtain eigenvalues and eigenvectors used for calculating PSD. Computational complexity is reduced to M times as compared with the GEVD by combining power-based method with Wielandt’s deflation which is used to solve the eigenvalues and the corresponding eigenvectors of correlation matrix of the observed signals. Experimental results show that the performance of dereverberation and noise reduction of the proposed method decreases slightly as compared with the GEVD-based ISCLP method.","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":"114648976","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 network location method considering sound ray bending 考虑声射线弯曲的网络定位方法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984347
Chao Wang, Zhenduo Wang
{"title":"A network location method considering sound ray bending","authors":"Chao Wang, Zhenduo Wang","doi":"10.1109/ICSPCC55723.2022.9984347","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984347","url":null,"abstract":"The potential for detecting marine environments has substantially increased for the reason of underwater sensor networks. Node location is a fundamental and crucial duty in underwater acoustic network applications, and information on node position is the assurance that various underwater activities will be completed. The positioning results' accuracy will decrease because the influence of the uneven underwater medium is not taken into account by the majority of current underwater location models. This article suggests a network localization approach that takes sound ray bending into account. To increase positioning precision, this technique builds a nonlinear state space model using the effective sound velocimeter. The unscented Kalman (UKF) method is utilized to determine the location of underwater objects under the effect of the underwater medium’s inhomogeneity.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"19 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":"124013740","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
Study on the characteristics of VLF atmospheric noise and its influence on the receiving performance VLF大气噪声特性及其对接收性能的影响研究
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984383
Guangming Li, Jierong Xie, Juan Chu
{"title":"Study on the characteristics of VLF atmospheric noise and its influence on the receiving performance","authors":"Guangming Li, Jierong Xie, Juan Chu","doi":"10.1109/ICSPCC55723.2022.9984383","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984383","url":null,"abstract":"In this paper, the statistical characteristics of VLF atmospheric noise are analyzed, the mathematical expressions of amplitude probability distribution and pulse time distribution are derived, and the exponential normal narrow-band noise model of atmospheric noise is established. On this basis, the receiving performance of VLF communication system in atmospheric noise is simulated by MATLAB, and the influence of atmospheric noise on the receiving performance of the system is analyzed. The simulation results show that when the atmospheric noise intensity reaches a certain level, the rate of decline of the received bit error rate of the system will slow down or even not decline with the increase of the signal-to-noise ratio. Therefore, in order to ensure the reliable reception of the signal, the received signal must be processed in order to suppress the atmospheric noise and improve the reception performance.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"41 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":"131268055","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
Adaptive Transmission for Underwater Acoustic Communication Based on Deep Reinforcement Learning 基于深度强化学习的水声通信自适应传输
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984290
Chaofan Dong, Yongqi Tang, Lianyou Jing, Lingling Zhang
{"title":"Adaptive Transmission for Underwater Acoustic Communication Based on Deep Reinforcement Learning","authors":"Chaofan Dong, Yongqi Tang, Lianyou Jing, Lingling Zhang","doi":"10.1109/ICSPCC55723.2022.9984290","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984290","url":null,"abstract":"Due to the complexity of the underwater environment and the harsh channel conditions, energy-efficient transmission has become a key topic in underwater acoustic (UWA) communication. In this paper, we propose a UWA adaptive communication strategy that aims to maximize the long-term energy efficiency of a single link. To cope with the rapid changes in the UWA channel, we employ the deep reinforcement learning (DRL) method to find the optimal transmission policy by jointly scheduling the transmit power, modulation order, and coding rate. The proposed method first learns the channel variation law. Then, the feedforward channel is predicted based on the channel state of the feedback link, and appropriate transmission parameters are selected to achieve a trade-off between throughput and power consumption. Simulation results show that the adaptive communication scheme is superior to the fixed modulation and coding scheme (MCS) when the channel is known, and can greatly improve the system’s energy efficiency.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"26 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":"126549297","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 Coherent Synthesis Based on Distributed Radar System 基于分布式雷达系统的相干综合研究
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984501
Hao Li, Hong-jun Liu, Yingjie Miao, Feifeng Liu
{"title":"Research on Coherent Synthesis Based on Distributed Radar System","authors":"Hao Li, Hong-jun Liu, Yingjie Miao, Feifeng Liu","doi":"10.1109/ICSPCC55723.2022.9984501","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984501","url":null,"abstract":"Distributed coherent aperture radar(DCAR) is composed of several small aperture radars. Through the distributed coherent processing of multi-node echo, it can be equivalent to large aperture radar, so as to improve the echo SNR and greatly improve the target detection performance, which has important research value. In this paper, aiming at the coherent synthesis of distributed coherent aperture radar, phase adjustment of transmitting signal is carried out online to ensure the phase coherence of echo signal and achieve the coherent synthesis at the target. Firstly, a signal model related to coherent synthesis is established, and then the effect of time delay and phase error on the coherent synthesis is analysed through simulation analysis and measured data processing, which preliminarily verifies that the coherent synthesis performance of the distributed radar system meets the requirements, which is beneficial to the design of the subsequent target relative position and attitude measurement experiment.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"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":"128898188","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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