International Conference on Signal Processing, Communications and Computing最新文献_第9页

Target Azimuth Detection Algorithm Based on Towed Line Array Shape Estimation 基于拖曳线阵列形状估计的目标方位检测算法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC55723.2022.9984561

Chenxi Lv, Haoquan Guo, D. Zhu

引用次数: 0

An Optimized DV-Hop Localization Algorithm Based on Hop Count Optimization and Ranging Correction 基于跳数优化和测距校正的优化DV-Hop定位算法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC55723.2022.9984222

Huachao Sun, Jingjie Gao, Fei Hua, Qian Zhang, Chunyu Zhang, Kunkun Tian

引用次数: 0

Design and Implementation of Sonar Display Software Based on Serial Communication 基于串行通信的声纳显示软件的设计与实现

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC55723.2022.9984263

Ruijiang Li, C. Sun, Changlang Ou, Ke Liu, Jing Wang

引用次数: 0

Robust matched field processing via second order cone optimization 通过二阶锥优化鲁棒匹配场处理

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2018.8567786

Qi Wang, Yingmin Wang

引用次数: 2

Source Number Estimation for Synchronous DSCDMA Signal with Same Direction of Arrival 同到达方向同步DSCDMA信号的信源数估计

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC55723.2022.9984529

Yicheng Wang, X. Shen, Yihang Ma

{"title":"Source Number Estimation for Synchronous DSCDMA Signal with Same Direction of Arrival","authors":"Yicheng Wang, X. Shen, Yihang Ma","doi":"10.1109/ICSPCC55723.2022.9984529","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984529","url":null,"abstract":"For the problem that the performance of the estimation method of the number of sources in DS-CDMA system with close direction is seriously degraded or even failed. A segmented reconstruction source number estimation method for Synchronous DS-CDMA Signal is proposed. Firstly, the signals received by each array element are segmented to form a new matrix, and then the covariances matrices of all the reconstructed signals are averaged. Finally, the judgment criterion is constructed by calculating the derivative of ratio of adjacent eigenvalues, and then the estimation of the number of sources is achieved. The method takes advantage of the irrelevance between the spread spectrum codes and reconstructs the guidance matrix, which can estimate the number of sources with the same arrival direction. The theoretical analysis and simulation results show that this method is suitable for both white noise and colored noise background, and has good estimation performance under low SNR, At the same time, this method can achieve the estimation of source number stably even when the number of array elements is less than the number of sources.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"1 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":"122357654","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

The Time Reversal Method with a Short Array 短阵列的时间反转方法

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC.2018.8567824

Shaochun Qu, Kun Zheng, Qi Wang

{"title":"The Time Reversal Method with a Short Array","authors":"Shaochun Qu, Kun Zheng, Qi Wang","doi":"10.1109/ICSPCC.2018.8567824","DOIUrl":"https://doi.org/10.1109/ICSPCC.2018.8567824","url":null,"abstract":"This In order to reduce the difficulty of the practical application of the time reversal method (TRM), this paper proposed a new method of virtual TRM with a short vertical line array. The measurement field received by the short array is used to reconstruct an acoustic field of a virtual long vertical array. The method is mainly divided into three steps: Initially, using the modal decomposition to decompose the sound field received by the short vertical array into a modal function matrix and a modal coefficient vector. Furthermore, we obtain the estimated values of the modal coefficients of each order. In this paper, an iterative algorithm was used to obtain the modal coefficients of each order, and then the measured field of the long vertical line array is extended through the obtained modal coefficients. Finally, we use the extended vertical line array measurement field for time reversal processing. The results from the final computer simulation indicated that, due to the measurement field of the long vertical line after continuation contains more environmental information, the virtual time reverse processing method with the extended measurement field has superior focus positioning performance.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"5 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":"128555954","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

Experimental Study on Direction of Arrival Estimation of Acoustic Signals Based on Hyperbeam Cross Spectrum 基于超光束交叉谱的声信号到达方向估计实验研究

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC50002.2020.9259478

Mingwei Zhang, Chunping Zhai, Yansen Liu, Shuwei Che

{"title":"Experimental Study on Direction of Arrival Estimation of Acoustic Signals Based on Hyperbeam Cross Spectrum","authors":"Mingwei Zhang, Chunping Zhai, Yansen Liu, Shuwei Che","doi":"10.1109/ICSPCC50002.2020.9259478","DOIUrl":"https://doi.org/10.1109/ICSPCC50002.2020.9259478","url":null,"abstract":"The direction of arrival estimation(DOA) technology plays an important role in acoustic beacon fast search and rescue at sea. In this paper, the DOA resolution of the split array beam-forming is improved by using the method of Hyper Beam-Forming(HBF) cross-spectrum. Under the condition of a certain signal-to-noise ratio, HBF cross-spectrum beam-forming method based on split array can effectively improve main lob width, reduce side-lobe effect and improve the resolution of direction finding significantly. Provide an effective judgment basis for the location estimation of acoustic beacons by using the intersection area of multi-point high-precision direction finding rays and the mean intersection. In this paper, the theoretical derivation process of the proposed method is given, and the error analysis of the azimuth estimation is carried out. The simulation and experimental results show that the side-lobe can be obviously suppressed by the split array HBF cross-spectrum method, and the accuracy and reliability of the target DOA estimation can be improved. The fusion method of the intersection area of multi-ray and the intersection point of multi-ray mean can effectively reduce the acoustic beacon search radius and improve search efficiency.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"21 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":"125953531","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

Classification of EEG signals based on time-frequency analysis and spiking neural network 基于时频分析和尖峰神经网络的脑电信号分类

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC50002.2020.9259508

Qing-Hua Wang, Lina Wang, Song Xu

{"title":"Classification of EEG signals based on time-frequency analysis and spiking neural network","authors":"Qing-Hua Wang, Lina Wang, Song Xu","doi":"10.1109/ICSPCC50002.2020.9259508","DOIUrl":"https://doi.org/10.1109/ICSPCC50002.2020.9259508","url":null,"abstract":"Electroencephalogram (EEG) is one of the most effective and essential tools for analyzing and diagnosing epilepsy. However, there is a challenging task for detecting seizures from EEG signals, which is due to the non-stationary nature of EEG signals. This paper proposes a novel automatic EEG signal recognition method to assist epilepsy detection. Specifically, the multi-wavelet basis function (MWBF) expansion method is first adopted to construct a time-varying autoregressive (TVAR) model of EEG signals, and a robust ultra-orthogonal least squares (UOLS) algorithm aided by derivative information of EEG signals is then utilized for model structure detection; besides, the power spectral density (PSD) estimation method is applied to extract high-resolution time-frequency features; particularly, to fully exploited the spatiotemporal information of the extracted features, features were fed into the spiking neural networks (SNN) for classification. Experimental results on a widely-used benchmark dataset show that proposed methods outperform other related methods in terms of classification performance.","PeriodicalId":192839,"journal":{"name":"International Conference on Signal Processing, Communications and Computing","volume":"143 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":"124716289","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

Eigenvalue Decline Index of Correlation Matrix for Convergence Zone and Shadow Zone Discrimination in Deep Sea 深海辐合带与阴影带判别相关矩阵特征值下降指数

International Conference on Signal Processing, Communications and Computing Pub Date : 1900-01-01 DOI: 10.1109/ICSPCC52875.2021.9565100

You Shao, Guangyin Zheng, Fangwei Zhu, Qiaoli Zhang

引用次数: 0