2021 Signal Processing Symposium (SPSympo)最新文献_第5页

Experimental Results of SAR Imaging Using a Low-Cost X-band Radar with a PLL with Direct Modulation for UAV Applications 低成本锁相环直接调制x波段雷达用于无人机SAR成像的实验结果

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593550

D. Gromek, P. Samczyński, K. Stasiak, J. Julczyk, M. Wielgo, Karol Abartkiewicz

{"title":"Experimental Results of SAR Imaging Using a Low-Cost X-band Radar with a PLL with Direct Modulation for UAV Applications","authors":"D. Gromek, P. Samczyński, K. Stasiak, J. Julczyk, M. Wielgo, Karol Abartkiewicz","doi":"10.1109/spsympo51155.2020.9593550","DOIUrl":"https://doi.org/10.1109/spsympo51155.2020.9593550","url":null,"abstract":"This paper presents the system design, imaging algorithm, and first trial results of an X-band frequency modulated continuous wave Synthetic Aperture Radar (SAR) with the transmitted waveform synthesized by a Phase Locked Loop (PLL) with direct modulation. The rapid growth of autonomous vehicle technology puts a demand on sensors, precision, and affordability. The latest navigation and avionics trends lead to miniaturization, highly appreciated in Unmanned Aerial Vehicle (UAV) applications. In particular, low cost, small size, and high precision of remote sensors find a wide range of applications in civilian and military domains (e.g., autonomous delivery systems, driving assistance systems, self-driving cars, military surveillance missiles, or fire guidance, among others). The SAR sensor presented in this paper was designed to be a small and affordable radar sensor dedicated to small UAV platforms and radar imaging. System architecture and a brief description of the signal processing algorithms are illustrated in this paper. The utility of the system is supported by preliminary results from ground-based and airborne trials.","PeriodicalId":380515,"journal":{"name":"2021 Signal Processing Symposium (SPSympo)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114333308","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

Target HRRP Reconstruction Based on Waveform Delay Dictionary with Phase-coded Pulse in Anechoic Chamber 基于相位编码脉冲波形延迟字典的暗室目标HRRP重建

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593416

Xiaobin Liu, F. Zhao, Qihua Wu, Xiaofeng Ai

引用次数: 1

A Study on Selection of HRV-based Features for Different Classifiers in Atrial Fibrillation Detection 基于hrv的不同分类器房颤检测特征选择研究

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593769

Szymon Buś, K. Jędrzejewski, P. Guzik

引用次数: 2

Evaluation of EMD and SSA sensitivity for efficient detection of aerodynamic instabilities in centrifugal compressors 离心式压缩机气动不稳定性有效检测的EMD和SSA灵敏度评价

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593801

M. Stajuda, D. Cava, G. Liśkiewicz

{"title":"Evaluation of EMD and SSA sensitivity for efficient detection of aerodynamic instabilities in centrifugal compressors","authors":"M. Stajuda, D. Cava, G. Liśkiewicz","doi":"10.1109/spsympo51155.2020.9593801","DOIUrl":"https://doi.org/10.1109/spsympo51155.2020.9593801","url":null,"abstract":"Aerodynamic instabilities in centrifugal compressors are dangerous phenomena affecting machines efficiency and in severe cases leading to failures of the compressing system due to high amplitude vibrations. Efficient instabilities detection during compressor operation is a challenge of utmost importance from economical and safety point of view. The most sensitive detection is possible with use of a pressure signal from inside of the compressor because specific pressure patterns are the first symptoms of instabilities. Detection of aerodynamic instabilities results in specific challenges, as the pressure signal is often very noisy and contains high amount of randomness. Surge - most severe instability, can develop very quickly. Therefore, the method of detection should be sensitive but also robust and quick. Another common instability, inlet recirculation is less dangerous, but it results in decrease of efficiency, which is to be avoided. Inlet recirculation often happens before surge, thus its presence can be used for surge proximity detection. The aim of this study is to investigate and compare the performance of two non-linear processing methods - Empirical Mode Decomposition (EMD) and Singular Spectrum Analysis (SSA) in the context of aerodynamic instabilities detection - inlet recirculation and surge. The comparison focuses on the robustness, sensitivity and pace of detection - crucial parameters for a successful detection method. It is shown that both methods perform similarly within the analyzed bounds for both instabilities. A slight advantage of SSA may be noticed for surge due to lower dispersion of the indicator value for the same conditions.","PeriodicalId":380515,"journal":{"name":"2021 Signal Processing Symposium (SPSympo)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127991207","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

Composition of Similarity Metrics for Correspondence Matching in Depth Estimation 深度估计中对应匹配相似度度量的组成

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593880

Hubert Żabiński, O. Stankiewicz

引用次数: 0

Distance Metrics for Classification of Arbitrarily Sampled Patterns - an ECG Example 用于任意采样模式分类的距离度量-一个ECG示例

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593538

P. Augustyniak

{"title":"Distance Metrics for Classification of Arbitrarily Sampled Patterns - an ECG Example","authors":"P. Augustyniak","doi":"10.1109/spsympo51155.2020.9593538","DOIUrl":"https://doi.org/10.1109/spsympo51155.2020.9593538","url":null,"abstract":"Compression, Compressed Sensing and Arbitrary Sampling (AS) all are data reduction techniques challenging the general sampling theorem and investigated how to combine efficiency of storage and preservation of original information. In general, AS assumes the use of given irregular sampling grid according to limitations of signal source, however in domains such as geology, astronomy, meteorology or medicine data appear in not a priori known irregular intervals. The representative of more predictable category is the ECG: (1) the local bandwidth of the signal is modulated by properties of conducting tissue, (2) the bandwidth is related to wave borders which may be precisely delineated with existing methods, and (3) there is strong need for storage efficiency since all recorders worldwide produce daily ca. 600TB of data with expected average storage time of order of 40 years. Unfortunately direct processing of non-uniformly sampled time series is rarely applied due to lack of appropriate methods. In this paper we propose a distance metric and demonstrate its utility to minimum-distance classification of 1-D non-uniform signal strips such as heart beats. The method is based on graph representation of data sequence and does not require inputs other than detection point witnessing the beat occurrence. The classification error and computational complexity both are greater than in the case of uniform patterns, however the proposed algorithm is sampling model independent and may also be applied to uniform data.","PeriodicalId":380515,"journal":{"name":"2021 Signal Processing Symposium (SPSympo)","volume":"483 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132161682","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

2D Ground Target Location Using GPS based Passive Radar 基于GPS的被动雷达二维地面目标定位

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593618

P. Gomez-del-Hoyo, M. Jarabo-Amores, D. Mata-Moya, N. del-Rey-Maestre, J. Rosado-Sanz

引用次数: 0

Analysis of Spectrum Signatures from Rotating Blades of Small Drone 小型无人机旋转叶片的频谱特征分析

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593405

Ekaterina Plotnitskaya, E. Vorobev, V. Veremyev

引用次数: 0

Measurement Error Correlation in Processing of Overlapping Blocks in FMCW Radar FMCW雷达重叠块处理中的测量误差相关性

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593897

M. Ciesielski, K. Stasiak, Mariia Khyzhniak, Marcin Żywek, M. Rupniewski

引用次数: 0

A Novel Criterion to Optimize Array Geometry for Direction Finding 一种新的测向阵列几何优化准则

2021 Signal Processing Symposium (SPSympo) Pub Date : 2021-09-20 DOI: 10.1109/spsympo51155.2020.9593666

Mehrad Amin Eskandari, S. M. Karbasi

引用次数: 0