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

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A Q-Learning and Data Priority-Based Routing Protocol with Dynamic Computing Cluster Head for Underwater Acoustic Sensor Networks 基于q学习和数据优先级的水声传感器网络动态计算簇头路由协议
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984284
Shen’Ao Tu, Xiuling Zhu, Yougan Chen, Xiaomei Xu
{"title":"A Q-Learning and Data Priority-Based Routing Protocol with Dynamic Computing Cluster Head for Underwater Acoustic Sensor Networks","authors":"Shen’Ao Tu, Xiuling Zhu, Yougan Chen, Xiaomei Xu","doi":"10.1109/ICSPCC55723.2022.9984284","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984284","url":null,"abstract":"Underwater acoustic sensor network (UASN) is a promising underwater networking technology for wide applications, but there is an urgent need to design reliable and low power consumption routing protocols for UASN to extend network lifetime due to the limited energy supply. In this paper, we propose a Q-learning and data priority-based routing protocol with dynamic computing cluster head (QD-DCR) to extend the network lifetime of UASN. In QD-DCR protocol, the underwater nodes are clustered and set the cluster head (CH) nodes, which are only responsible for computing the optimal path of data transmission and the storage of Q-value table, while the non-CH nodes are responsible for data transmission. Meanwhile, according to the data priority, we design different data transmission methods that can effectively use the limited resources of UASN to transmit urgent data. To further make the residual energy of sensor nodes evenly distributed, we also design the dynamic selection of CH node, which can avoid the potential energy holes. In addition, we adopt Q-learning to determine the optimal next hop instead of the greedy next hop in a cluster. We also define an action utility function that takes into account both residual energy and node depth to extend the network lifetime by distributing the residual energy evenly. Simulation results show that the proposed QD-DCR protocol can effectively extend the network lifetime compared with a classic lifetime-extended routing protocol (QELAR), while alleviating the issue of uneven distribution of the residual energy in the network.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"8 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":"133060132","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 Power Allocation for Non-coherent FSK in Time-varying Underwater Acoustic Communication Channels 时变水声信道中非相干FSK的自适应功率分配
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984454
Yunfei Zhao, L. Wan, En Cheng, Feng Xu
{"title":"Adaptive Power Allocation for Non-coherent FSK in Time-varying Underwater Acoustic Communication Channels","authors":"Yunfei Zhao, L. Wan, En Cheng, Feng Xu","doi":"10.1109/ICSPCC55723.2022.9984454","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984454","url":null,"abstract":"Underwater acoustic channels are typically double selective. The multipath effect often leads to frequency selective fading, and the movement between transmitter and receiver leads to time selective fading. In this paper, focused on the non-coherent frequency shift keying (FSK) underwater acoustic communication systems, we proposed an adaptive power allocation based on reinforcement learning (RLAPA) algorithm. The proposed algorithm can find the optimal power allocation scheme according to the frequency selective fading of the underwater acoustic channel. While the underwater acoustic channel is constantly changing, the varying model of the underwater acoustic channel and the long-term optimal power switching scheme are learned through our proposed algorithm. Simulation results based on pool channels show that the proposed algorithm can achieve long-term optimized channel capacity and lower average bit error rate than the power averaging scheme, which improves the performance of the communication system.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"10 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":"132319404","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
Acoustic Velocity-Independent DOA Estimation for L-Shaped Array via Modified Decoupled Atomic Norm Minimization 基于改进解耦原子范数最小化的l型阵列声速无关DOA估计
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984535
Gengin Ning, Yu Wang
{"title":"Acoustic Velocity-Independent DOA Estimation for L-Shaped Array via Modified Decoupled Atomic Norm Minimization","authors":"Gengin Ning, Yu Wang","doi":"10.1109/ICSPCC55723.2022.9984535","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984535","url":null,"abstract":"In this paper, a DOA estimation method for underwater application is proposed. In the first stage, a semi-positive definite programming (SDP) model on the L-shaped array mutual covariance matrix (MCM) is constructed with the principle of decoupled atomic norm minimization (DANM). This model allows a more accurate reconstruction of the MCM for the L-shaped array. In the second stage, an omnidirectional velocity independence (VI) method is proposed to eliminate the acoustic velocity factor. Numerical simulations show that the proposed method not only achieves effective DOA estimation in the environment of the unknown acoustic velocity but also its performance, especially under high SNR conditions, is significantly improved.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"166 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":"132356489","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
Anti-main lobe Slicing reconstruction jamming based on improved blind source separation algorithm 基于改进盲源分离算法的反主瓣切片重构干扰
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984373
Jinhui Fang, Baojun Song, Mingzhe Zhu
{"title":"Anti-main lobe Slicing reconstruction jamming based on improved blind source separation algorithm","authors":"Jinhui Fang, Baojun Song, Mingzhe Zhu","doi":"10.1109/ICSPCC55723.2022.9984373","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984373","url":null,"abstract":"Aiming at the current problem that MIMO radar cannot effectively identify the target under the interference of the main lobe slicing reconstruction jamming, the blind source separation algorithm based on the maximum signal-to-noise ratio cannot effectively separate the interference and signal under the background of high noise. In this paper, an improved blind source separation algorithm based on the maximum signal-to-noise ratio is used to realize the separation of slice reconstruction interference under the condition of low signal-to-noise ratio of FDA-MIMO radar system through computer simulation. The results show that compared with the original algorithm, the improved algorithm can better achieve the separation of the target signal and the interference signal.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"6 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":"132277592","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
WiFi Realtime Localization for Smartphones by MIMO-OFDM Tracking Algorithm 基于MIMO-OFDM跟踪算法的智能手机WiFi实时定位
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984317
Peng Wang, Bowen Wang
{"title":"WiFi Realtime Localization for Smartphones by MIMO-OFDM Tracking Algorithm","authors":"Peng Wang, Bowen Wang","doi":"10.1109/ICSPCC55723.2022.9984317","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984317","url":null,"abstract":"This paper investigates the localization problem based on superimposed signals in multipath environments. First, we estimate the multipath parameters embedded in MIMO-OFDM signals via the space-alternating generalized expectation-maximization (SAGE) algorithm. Then to mitigate the disadvantages of initial value dependency and clutter problem of SAGE, we resort to the joint probabilistic data association (JPDA) method. Considering the computational burden, we adopt a modified JPDA technique, which is computationally tractable in applications with high clutter density. Hence it comes naturally an integrated localization algorithm, simulations validate its efficiency. Finally, we implement an accurate WiFi realtime localization system on smartphones that can be deployed on commodity WiFi infrastructure, which demonstrates the superiority of the proposed method.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"22 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":"130044820","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
Bidirectional Equalization Receiver for Underwater Acoustic OFDM Systems Using Frequency-Domain Oversampling 基于频域过采样的水声OFDM双向均衡接收机
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984479
Zhenan Zhu, L. Wan, En Cheng, Feng Xu
{"title":"Bidirectional Equalization Receiver for Underwater Acoustic OFDM Systems Using Frequency-Domain Oversampling","authors":"Zhenan Zhu, L. Wan, En Cheng, Feng Xu","doi":"10.1109/ICSPCC55723.2022.9984479","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984479","url":null,"abstract":"Underwater acoustic orthogonal frequency division multiplexing (OFDM) systems suffer from frequency-selective fading and inter-carrier interference (ICI) caused by the underwater acoustic channels. As a commonly adopted solution, channel equalization is performed after two-dimensional channel estimation of the doubly selective channels. To achieve better performance, a bidirectional equalization receiver based on frequency-domain oversampling (FDO) for underwater acoustic OFDM systems is proposed. We use a pilot design that facilitates FDO based sparse channel estimation and bidirectional equalization. On one hand, FDO contributes more observations to both channel estimation and equalization. On the other hand, the bidirectional equalization structure is employed to mitigate the error propagation caused by linear minimum mean-squared error (MMSE) equalizer while maintaining low equalization complexity. Simulation and experimental results demonstrate the advantage of the proposed FDO based bidirectional equalization receiver.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"9 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":"129534649","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
Motion parameters estimation of an underwater multitonal source by using field oscillation at different frequencies in deep water 基于不同频率场振荡的水下多频源运动参数估计
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984435
Zhezhen Xu, Hui Li, Kunde Yang, Peilin Li
{"title":"Motion parameters estimation of an underwater multitonal source by using field oscillation at different frequencies in deep water","authors":"Zhezhen Xu, Hui Li, Kunde Yang, Peilin Li","doi":"10.1109/ICSPCC55723.2022.9984435","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984435","url":null,"abstract":"This paper presents a motion parameter estimation algorithm for an underwater multitonal source in deep water. The acoustic field oscillation at different frequency points, caused by the interference between the direct and surface-reflected paths, are utilized to estimate the source initial range, velocity, and depth. The proposed algorithm first estimates the source initial range and velocity by matching the field time series at a reference frequency with the resampled ones at other frequencies. Then, based on the estimated initial range and velocity, the pressure fields in the time domain can be mapped into the sine domain of the receiving angle so that the source depth can be directly obtained by using a modified Fourier transform method on the basis of image theory. The effectiveness of the proposed algorithm is demonstrated via numerical simulations by using the Bellhop acoustic toolbox.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"63 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104706","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
Instantaneous Frequency Tracking for Polynomial Phase Signals Based on Extended Kalman Filter 基于扩展卡尔曼滤波的多项式相位信号瞬时频率跟踪
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984536
Jiwen Zhou, Yun Li, Wendi Zhang, Hongguang Li, Jie Bian
{"title":"Instantaneous Frequency Tracking for Polynomial Phase Signals Based on Extended Kalman Filter","authors":"Jiwen Zhou, Yun Li, Wendi Zhang, Hongguang Li, Jie Bian","doi":"10.1109/ICSPCC55723.2022.9984536","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984536","url":null,"abstract":"This work presents an effective approach for tracking the instantaneous frequency of polynomial phase signals. Compared with the conventional methods based on phase differentiation or time-frequency representation, the proposed method regards the polynomial phase signal as a state-space model. The polynomial phase is approximated by the local polynomial, and the corresponding coefficients constitute the state vector. Hence, the tracking of local polynomial phase coefficients is converted into a procedure of solving the state-space model. To determine the instantaneous phase, the extended Kalman filter is applied to solve the state-space model. Finally, the polynomial regression and the O’Shea refinement strategy are combined to improve the results to reach the Cramér-Rao lower bound. The computational complexity of our algorithm is O(K2•N). Simulation results indicate that the presented approach also preserves similar accuracy compared with the state-of-the-art.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"2 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":"129852510","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
Application of Reliability Growth Model in Flight Test 可靠性增长模型在飞行试验中的应用
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984445
Chengyu Ju, Na Zhao, Ning Tang
{"title":"Application of Reliability Growth Model in Flight Test","authors":"Chengyu Ju, Na Zhao, Ning Tang","doi":"10.1109/ICSPCC55723.2022.9984445","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984445","url":null,"abstract":"At present, aircraft reliability assessment is generally calculated by exponential distribution in the flight test stage, but the exponential distribution has certain limitations, and with the continuous maintenance of aircraft in the flight test stage, the reliability gradually increases and the failure rate gradually decreases. Aiming at the above problems, this paper uses normal distribution, exponential distribution, Weibull distribution, lognormal distribution and AMSAA growth model for fitting modeling, Finally, through comparative analysis, the optimal reliability fitting distribution results are given, which is of great significance for subsequent reliability evaluation.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"102 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":"124396236","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
An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System 基于CLEAN技术的gnss InBSAR自适应伪永久散射体对消算法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984233
Ruihong Lv, Feifeng Liu, Zhanze Wang, Chenghao Wang, Runze Shang, Di Yao
{"title":"An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System","authors":"Ruihong Lv, Feifeng Liu, Zhanze Wang, Chenghao Wang, Runze Shang, Di Yao","doi":"10.1109/ICSPCC55723.2022.9984233","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984233","url":null,"abstract":"In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"9 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":"126382879","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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