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2022 14th International Conference on Signal Processing Systems (ICSPS)最新文献

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Multimodal Semantic Fusion for Vehicle Driving Based on Residual Connections and Attention Mechanism 基于剩余连接和注意机制的车辆驾驶多模态语义融合
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00020
Xiaohang Li, Jianjiang Zhou
{"title":"Multimodal Semantic Fusion for Vehicle Driving Based on Residual Connections and Attention Mechanism","authors":"Xiaohang Li, Jianjiang Zhou","doi":"10.1109/ICSPS58776.2022.00020","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00020","url":null,"abstract":"Cameras and 3DLidar are indispensable sensors in vehicle driving, in which cameras can provide rich color and texture information, and 3DLidar can capture environmental information with higher precision and longer distances, especially in depth measurement. Sensors can complement each other in the detection of the environment, so how to efficiently fuse the two modal information has become a research hotspot. In this paper, a module based on residual network and attention mechanism is designed to fuse the features of the dual-stream network, enhance the deep features through the direct connection, and change the feature combination form to achieve a better road environment semantic segmentation effect.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"12 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124131986","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
Block Space-Time Coding for Underwater Optical Massive MIMO System 水下光学海量MIMO系统的分组空时编码
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00112
Jielin Fu, Kongliang Zhu, Yanlong Li, Yvtong Jiang, Xiao Chen
{"title":"Block Space-Time Coding for Underwater Optical Massive MIMO System","authors":"Jielin Fu, Kongliang Zhu, Yanlong Li, Yvtong Jiang, Xiao Chen","doi":"10.1109/ICSPS58776.2022.00112","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00112","url":null,"abstract":"The complex underwater environment will cause high attenuation and random fading of the transmitted optical signal. This paper proposes a space-time block coding (STBC) technique for this problem. The massive multiple-input multiple-output (Massive-MIMO) underwater wireless optical communication (UWOC) system is subjected to block coding processing. The STBC coding technology is used in the blocks, respectively, and the spatial multiplexing technology is used between the blocks. Through the use of Massive-MIMO technology to improve the capacity of the communication system, combined with STBC coding technology to further improve the reliability of the communication system, and the communication link of the Massive-MIMO system is fully utilized. The simulation results show that the signal-to-noise ratio (SNR) is improved by about 4dB when the bit error performance (BER) of $mathbf{4}times mathbf{4}$ STBC is 10−6 higher than that of $mathbf{2}times mathbf{2}$ STBC in a weak turbulent environment. In a strong turbulent environment, when the system SNR is 10dB, the BER of the multiplexing system using block STBC coding can reach 10−6.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121723711","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
Underwater Acoustic Communication Based on OTFS-IM 基于OTFS-IM的水声通信
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00042
Xiao Guo, Biao Wang, Yunan Zhu, Zide Fang, Shizhen Zhang
{"title":"Underwater Acoustic Communication Based on OTFS-IM","authors":"Xiao Guo, Biao Wang, Yunan Zhu, Zide Fang, Shizhen Zhang","doi":"10.1109/ICSPS58776.2022.00042","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00042","url":null,"abstract":"Recently, the orthogonal time-frequency space (OTFS) modulation technique has been proposed to provide reliable communication over time-varying channels, combined with the double dispersion characteristics of underwater acoustic channels to improve the BER performance and spectral efficiency of underwater acoustic communication. In this paper, we propose an underwater acoustic communication system combining index modulation with OTFS. This technique uses indexed bits to control the activation of the grid in the delay-Doppler domain, allowing flexible adjustment of the number of silent and activated grids, resulting in a system with better transmission performance. The effectiveness of the method is demonstrated through simulations where the modified scheme obtains better BER performance than the conventional OFDM-IM modulated underwater acoustic communication system.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132210148","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
Joint Source Channel Symbol Level En/Decoding Based on Space Computational Intelligence Policy Trellis 基于空间计算智能策略网格的联合信源信道码位码解码
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00126
G. Tu, Can Zhang, Shaoshuai Gao, Peng Gao
{"title":"Joint Source Channel Symbol Level En/Decoding Based on Space Computational Intelligence Policy Trellis","authors":"G. Tu, Can Zhang, Shaoshuai Gao, Peng Gao","doi":"10.1109/ICSPS58776.2022.00126","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00126","url":null,"abstract":"Joint source channel symbol-level en/decoding based on space computational intelligence (CI) policy trellis is presented. Through constructing a joint decoding plane trellis, it can achieve better decoding performance than the bit-level decoding algorithm. However, the plane trellis is complicated, which results in a high decoding complexity for decoding symbol - level Turbo codes. To solve this problem, we construct a space CI policy trellis and its optimization design of weight value by using constraint condition system of equation in this paper and design a low-complexity joint decoding with variable length symbol-A Posteriori Probability (VLS-APP) algorithm. Simulation results show that the proposed approach reduces the decoding complexity compared to the plane trellis, and the gain is about 1.3 dB, and it provides substantial error protection for variable-length encoded image data, which can be applied to the joint symbol-level en/decoding of streaming media in resource-constrained space communication.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133894599","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 Detection Performance of Distributed PA-MIMO Radar 分布式PA-MIMO雷达探测性能研究
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00032
Cheng Qi, Jun-wei Xie, Hao-wei Zhang, Taiyong Fei, Xiao Yang, Zihang Ding
{"title":"Research on Detection Performance of Distributed PA-MIMO Radar","authors":"Cheng Qi, Jun-wei Xie, Hao-wei Zhang, Taiyong Fei, Xiao Yang, Zihang Ding","doi":"10.1109/ICSPS58776.2022.00032","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00032","url":null,"abstract":"This paper proposes a hybrid distributed phased array-multiple input and multiple output (PA-MIMO) radar system, which is a compromise combination of phased array radar and MIMO radar. Firstly, we establish a target detection model based on the Neyman-Pearson criterion for the radar system. Secondly, a likelihood ratio detector is derived with the overall consideration of channel reciprocity and multi-pulse phase parameter accumulation shared by subarray transceivers. Then, the closed-form expression for detection probability is obtained and compared with the other four typical MIMO radar and phased array radar. Finally, simulation experiments and the results comparison are provided to verify that the hybrid distributed MIMO radar system effectively improve the target detection performance of the radar system using both spatial diversity gain and phase reference gains.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526710","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
Angle Estimation for Bistatic MIMO Radar with Prior Range-Sum Information 基于先验距离和信息的双基地MIMO雷达角度估计
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00111
Ben Niu, Yongbo Zhao
{"title":"Angle Estimation for Bistatic MIMO Radar with Prior Range-Sum Information","authors":"Ben Niu, Yongbo Zhao","doi":"10.1109/ICSPS58776.2022.00111","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00111","url":null,"abstract":"In this paper, a novel direction-of-departure (DOD) and direction-of-arrival (DOA) estimation method is proposed for bistatic multiple-input multiple-output (MIMO) radar with prior range-sum information. In traditional bistatic MIMO radar angle estimation, the estimation of DOA and DOD is identified through two-dimensional (2D) searching. Different from the traditional methods, the angle information of target is estimated with prior knowledge of the transmitter-target-receiver range-sum, which improves the estimation accuracy. The relationship between DOD and DOA is derived by using the range-sum information. Consequently, once the corresponding range-sum of target is identified, the corresponding mapping relationship between DOD and DOA is obtained. In this case, 2D searching procedure is not required anymore resulting in greatly reducing the computational complexity. The Cramer Rao bound of the proposed signal model is derived to prove that the lower limit of angle estimation accuracy is lower than that of the traditional signal model. The robustness and effectiveness of the proposed method is demonstrated via simulation results.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133177889","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
Ambiguity Resolution for Ground-based Pulse-Doppler Radars Using Multiple Medium PRF 基于多介质PRF的陆基脉冲多普勒雷达模糊度分辨率研究
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00024
Khue Nguyen Dinh, Loi Nguyen Van, Thanh Nguyen Nhu, Hop Tran Vu, Viet Nguyen Hong, Duc Le Trung
{"title":"Ambiguity Resolution for Ground-based Pulse-Doppler Radars Using Multiple Medium PRF","authors":"Khue Nguyen Dinh, Loi Nguyen Van, Thanh Nguyen Nhu, Hop Tran Vu, Viet Nguyen Hong, Duc Le Trung","doi":"10.1109/ICSPS58776.2022.00024","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00024","url":null,"abstract":"In this paper, we propose an adaptive method to resolve ambiguities and a ghost target removal process to extract targets detected by a ground-based pulse-Doppler radar using medium pulse repetition frequency waveforms. The ambiguity resolution method is an adaptive implementation of the coincidence algorithm, which is implemented on a two-dimensional (2D) range-velocity matrix to resolve range and velocity ambiguities simultaneously, with a proposed clustering filter to enhance the anti-error ability of the system. Here we consider the scenario of multiple target environments. The ghost target removal process, which is based on the power after Doppler processing, is proposed to mitigate ghosting detections to enhance the performance of ground-based radars using a short PRF schedule in multiple target environments. Simulation results on a ground-based pulsed Doppler radar model will be presented to show the effectiveness of the proposed approach.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"122 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131880369","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
Software Safety Level Comprehensive Assessment Approach Based on the Multidimensional System Risk Index 基于多维系统风险指数的软件安全等级综合评价方法
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00103
Kunming Wang, Qiaoxuan Zhang, Haifeng Li
{"title":"Software Safety Level Comprehensive Assessment Approach Based on the Multidimensional System Risk Index","authors":"Kunming Wang, Qiaoxuan Zhang, Haifeng Li","doi":"10.1109/ICSPS58776.2022.00103","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00103","url":null,"abstract":"The accuracy software safety level assessment can ensure the various software obtain the reasonable resource allocation. Most existing software safety level assessment approaches only consider the influence of the system hazards and don't consider the hazard occurrence probability level, the probability level that the system in the hazard conditions, and the other important occurrence factors. Thus these approaches can't assess the system safety level accurately. To solve this problem, a new software safety level comprehensive assessment approach is proposed in this paper based on the multidimensional system risk index. This method first determines four important influence factors of the software safety level according to the related standards, namely the hazard influence level ‘C’, the probability level ‘F’ that the system in the hazard condition, the probability level ‘P’ that system fails to control the hazard, and the hazard occurrence probability level ‘W’. Then, we propose the comprehensive assessment method of the system risk index with the four factors. Finally, the application results show that the proposed approach are more comprehensive and extensive, and has better practicability, effectiveness, and feasibility.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115368840","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
Traffic Sign Recognition Based on YOLOv5 Network Structure 基于YOLOv5网络结构的交通标志识别
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00078
Tong Hu, Jun Song
{"title":"Traffic Sign Recognition Based on YOLOv5 Network Structure","authors":"Tong Hu, Jun Song","doi":"10.1109/ICSPS58776.2022.00078","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00078","url":null,"abstract":"Aiming at the problems of low recognition accuracy, slow rate, missed detection and false detection of traditional target detection algorithm in traffic sign recognition system, The deep learning technology can extract the feature information of traffic sign automatically, so a traffic sign target detection algorithm based on YOLOV5 network structure is proposed. The attention mechanism is added to enhance the effective features of the detected objects, suppress the interference features, and improve the performance of traffic sign detection in the complex background. The results show that survey data for training and testing were collected from China TT100K, and the optimized YOLOv5 algorithm has a good detection effect.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115714242","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
LPI Radar Signals Intra-Pulse Modulation Recognition Based on CA-ShuffleNet 基于CA-ShuffleNet的LPI雷达信号脉冲内调制识别
2022 14th International Conference on Signal Processing Systems (ICSPS) Pub Date : 2022-11-01 DOI: 10.1109/ICSPS58776.2022.00030
Ying Wen, Xudong Wang, Guiguang Xu, Fei Wang
{"title":"LPI Radar Signals Intra-Pulse Modulation Recognition Based on CA-ShuffleNet","authors":"Ying Wen, Xudong Wang, Guiguang Xu, Fei Wang","doi":"10.1109/ICSPS58776.2022.00030","DOIUrl":"https://doi.org/10.1109/ICSPS58776.2022.00030","url":null,"abstract":"Recently, radar signal recognition methods based on deep learning have achieved great success. However, these approaches still need to be improved due to the limitation of the number of parameters and computation complexity. This paper proposes an intra-pulse modulation recognition approach for low probability of intercept (LPI) radar signal based on time-frequency analysis (TFA) and lightweight convolutional neural network. Through TFA and image preprocessing, the time-frequency images (TFIs) of radar signals are extracted, noise interference is reduced and redundant frequency band is removed. In order to maintain resolution of images and enhance the ability of the network to extract channel and location information, we introduce dilated convolution and coordinate attention (CA) to ShuffleNetV2. And we proposed a joint loss function consisting of center loss and label smoothing loss to alleviate the overfitting problem and make samples cluster better. Simulation results show that the proposed approach can achieve an overall accuracy of recognition of 98.14% when the SNR is -8 dB.","PeriodicalId":330562,"journal":{"name":"2022 14th International Conference on Signal Processing Systems (ICSPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116037847","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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