发布求助
文献互助 智能选刊 最新文献

2014 Sensor Signal Processing for Defence (SSPD)最新文献

筛选
英文 中文
Multi-polarization SAR change detection: unstructured versus structured GLRT 多极化SAR变化检测:非结构化与结构化GLRT
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943315
V. Carotenuto, C. Clemente, A. De Maio, J. Soraghan, S. Iommelli
{"title":"Multi-polarization SAR change detection: unstructured versus structured GLRT","authors":"V. Carotenuto, C. Clemente, A. De Maio, J. Soraghan, S. Iommelli","doi":"10.1109/SSPD.2014.6943315","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943315","url":null,"abstract":"The problem of coherent multi-polarization SAR change detection exploiting data collected from N multiple polarimetric channels, is addressed in this paper. The change detection problem is formulated as a binary hypothesis testing problem and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a novel detector based on the Generalized Likelihood Ratio Test criterion. It is shown that the new decision rule ensures the Constant False Alarm Rate (CFAR) property. At the analysis stage, results on both simulated and real high resolution SAR data show the effectiveness of the proposed decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126571324","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
Constant envelope fractional fourier transform based waveform libraries for MIMO radar 基于恒包络分数傅立叶变换的MIMO雷达波形库
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-11-03 DOI: 10.1109/SSPD.2014.6943319
C. Ilioudis, C. Clemente, I. Proudler, J. Soraghan
{"title":"Constant envelope fractional fourier transform based waveform libraries for MIMO radar","authors":"C. Ilioudis, C. Clemente, I. Proudler, J. Soraghan","doi":"10.1109/SSPD.2014.6943319","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943319","url":null,"abstract":"In this paper an efficient technique to generate novel libraries of phase-coded waveforms with constant envelope aimed at optimizing signal retrieval is presented. The modulation technique is based on the Fractional Fourier Transform (FrFT), where the signal waveforms retain their constant modulus. Reconstruction of sequences from the FrFT based waveforms is explored by means of the Error Reduction Algorithm (ERA), while the constant envelope property is kept unchanged. Additionally comparison between reconstructed and original sequences is also carried out in terms of performance and cross-correlation properties of the signals. Simulation results demonstrate the effectiveness of the novel waveform libraries considering design parameters such as resolution, interfering power, orthogonality and signal bandwidth.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114883592","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: 6
Introspective classification for pedestrian detection 行人检测的内省分类
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-10-01 DOI: 10.1109/SSPD.2014.6943310
C. Blair, J. Thompson, N. Robertson
{"title":"Introspective classification for pedestrian detection","authors":"C. Blair, J. Thompson, N. Robertson","doi":"10.1109/SSPD.2014.6943310","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943310","url":null,"abstract":"State-of-the-art pedestrian detectors are capable of finding humans in images with reasonable accuracy. However, accurate object detectors such as Integral Channel Features (ICF) do not provide good reliability; they are unable to identify detections which they are less confident (or more uncertain) about. We apply existing methods for generating probabilistic measures from classifier scores (such as Piatt exponential scaling and Isotonic Regression) and compare these to Gaussian Process classifiers (GPCs), which can provide more informative predictive variance. GPCs are less accurate than ICF classifiers, but GPCs and Adaboost with Piatt scaling both provide improved reliability over existing methods.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114825464","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: 8
Parallel processing of the fast decimation-in-image back-projection algorithm for SAR SAR图像中快速抽取反投影算法的并行处理
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-09-08 DOI: 10.1109/SSPD.2014.6943327
Shaun Kelly, M. Davies, J. Thompson
{"title":"Parallel processing of the fast decimation-in-image back-projection algorithm for SAR","authors":"Shaun Kelly, M. Davies, J. Thompson","doi":"10.1109/SSPD.2014.6943327","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943327","url":null,"abstract":"Fast back-projection algorithms provide substantial speedup when compared with the standard back-projection algorithm. However in many potential near-field applications of synthetic aperture radar, further speedup is still required in order to make the application operationally feasible. In this paper we investigate the application of multi-core central processing units and graphic processing units, which are now standard on most scientific workstations, to further speed up a very recently proposed fast back-projection algorithm (the fast decimation-in-image back-projection algorithm).","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123517112","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
Cooperative positioning using angle of arrival and time of arrival 利用到达角度和到达时间进行协同定位
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-09-01 DOI: 10.1109/SSPD.2014.6943331
M. Khan, N. Salman, A. Kemp
{"title":"Cooperative positioning using angle of arrival and time of arrival","authors":"M. Khan, N. Salman, A. Kemp","doi":"10.1109/SSPD.2014.6943331","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943331","url":null,"abstract":"Localization has been one of the most highly researched topics in wireless communications in the past decade. Localization of wireless nodes can be achieved using a variety of techniques, in which range measurement and angle measurement are most commonly used. In the presence of both angle and range measurement, a hybrid model can be developed. In this paper we analyze a hybrid angle of arrival-time of arrival (AoA-ToA) model for localization of wireless nodes, the model is modified to remove the bias from the estimated positions. We also explore the idea of cooperative localization using both angle and range measurements and develop a linear least squares (LLS) scheme. It is shown via simulation that the modified model is unbiased and that the performance of the proposed cooperative LLS is superior to its non-cooperative counterpart.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114215332","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: 17
Learning entropy for novelty detection a cognitive approach for adaptive filters 学习熵新颖性检测:一种自适应滤波器的认知方法
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-09-01 DOI: 10.1109/SSPD.2014.6943329
I. Bukovský, C. Oswald, Matous Cejnek, P. Benes
{"title":"Learning entropy for novelty detection a cognitive approach for adaptive filters","authors":"I. Bukovský, C. Oswald, Matous Cejnek, P. Benes","doi":"10.1109/SSPD.2014.6943329","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943329","url":null,"abstract":"This paper recalls the practical calculation of Learning Entropy (LE) for novelty detection, extends it for various gradient techniques and discusses its use for multivariate dynamical systems with ability of distinguishing between data perturbations or system-function perturbations. LG has been recently introduced for novelty detection in time series via supervised incremental learning of polynomial filters, i.e. higher-order neural units (HONU). This paper demonstrates LG also on enhanced gradient descent adaptation techniques that are adopted and summarized for HONU. As an aside, LG is proposed as a new performance index of adaptive filters. Then, we discuss Principal Component Analysis and Kernel PCA for HONU as a potential method to suppress detection of data-measurement perturbations and to enforce LG for system-perturbation novelties.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127652211","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: 15
Room boundary estimation from acoustic room impulse responses 从声学房间脉冲响应估计房间边界
2014 Sensor Signal Processing for Defence (SSPD) Pub Date : 2014-09-01 DOI: 10.1109/SSPD.2014.6943328
Luca Remaggi, P. Jackson, Philip Coleman, Wenwu Wang
{"title":"Room boundary estimation from acoustic room impulse responses","authors":"Luca Remaggi, P. Jackson, Philip Coleman, Wenwu Wang","doi":"10.1109/SSPD.2014.6943328","DOIUrl":"https://doi.org/10.1109/SSPD.2014.6943328","url":null,"abstract":"Boundary estimation from an acoustic room impulse response (RIR), exploiting known sound propagation behavior, yields useful information for various applications: e.g., source separation, simultaneous localization and mapping, and spatial audio. The baseline method, an algorithm proposed by Antonacci et al., uses reflection times of arrival (TOAs) to hypothesize reflector ellipses. Here, we modify the algorithm for 3-D environments and for enhanced noise robustness: DYPSA and MUSIC for epoch detection and direction of arrival (DOA) respectively are combined for source localization, and numerical search is adopted for reflector estimation. Both methods, and other variants, are tested on measured RIR data; the proposed method performs best, reducing the estimation error by 30%.","PeriodicalId":133530,"journal":{"name":"2014 Sensor Signal Processing for Defence (SSPD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121238647","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: 12
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信