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Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200)最新文献

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Selection of the radar waveform from tracking considerations 从跟踪考虑选择雷达波形
Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200) Pub Date : 2001-05-01 DOI: 10.1109/NRC.2001.922985
R. Niu, P. Willett, Y. Bar-Shalom
{"title":"Selection of the radar waveform from tracking considerations","authors":"R. Niu, P. Willett, Y. Bar-Shalom","doi":"10.1109/NRC.2001.922985","DOIUrl":"https://doi.org/10.1109/NRC.2001.922985","url":null,"abstract":"The conventional approach for tracking system design is to treat the sensor and tracking subsystems as completely independent units. However, the two subsystems can be designed jointly to improve system (tracking) performance. It is known that different radar signal waveforms result in very different resolution cell shapes (for example, a rectangle versus an eccentric parallelogram) in the range/range-rate space, and that there are corresponding differences in overall tracking performance. We develop a framework for the analysis of this performance. An imperfect detection process, false alarms, target dynamics and the matched filter sampling grid are all accounted for, using the Markov chain approach of Li and Bar-Shalom (1991). The role of the grid is stressed, and it is seen that the measurement-extraction process from contiguous radar \"hits\" is very important. A number of conclusions are given, perhaps the most interesting of which is the corroboration in the new measurement space of Fitzgerald's (1974) result for delay-only (i.e., range) measurements, that a linear FM upsweep offers very good tracking performance.","PeriodicalId":214828,"journal":{"name":"Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126219766","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
Track maintenance and positional estimation via ground moving target indicator and geolocation data fusion 基于地面运动目标指示器和地理定位数据融合的轨道维护和位置估计
Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200) Pub Date : 2001-05-01 DOI: 10.1109/NRC.2001.922984
K. McDonald, W. Kuklinski
{"title":"Track maintenance and positional estimation via ground moving target indicator and geolocation data fusion","authors":"K. McDonald, W. Kuklinski","doi":"10.1109/NRC.2001.922984","DOIUrl":"https://doi.org/10.1109/NRC.2001.922984","url":null,"abstract":"In modern tactical environments, information from a variety of sensors may be simultaneously utilized to improve target detection and tracking procedures. Towards this goal, two data fusion algorithms are developed that implement such processing. First, a GMTI (ground moving target indicator)/geolocation algorithm is derived to assist with track maintenance during periods of GMTI data blackout. Next, a geolocation estimator is presented which fuses time difference of arrival (TDOA), frequency difference of arrival (FDOA), and angle of arrival (AOA) measurements. These algorithms lead to improved positional estimation, track accuracy, and track maintenance. They also potentially reduce the number of platforms required to successfully locate and track targets.","PeriodicalId":214828,"journal":{"name":"Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126354365","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
A multi-step selection procedure for estimating the number of signal components 估计信号分量数量的多步选择程序
Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200) Pub Date : 1900-01-01 DOI: 10.1109/NRC.2001.922964
Pinyuen Chen, Shuo Zhang, T. Cushman, M. Wicks
{"title":"A multi-step selection procedure for estimating the number of signal components","authors":"Pinyuen Chen, Shuo Zhang, T. Cushman, M. Wicks","doi":"10.1109/NRC.2001.922964","DOIUrl":"https://doi.org/10.1109/NRC.2001.922964","url":null,"abstract":"This paper considers a multi-step selection procedure to estimate the multiplicity of the smallest eigenvalue of a covariance matrix. The unknown number of signals present in radar data can be formulated as the difference between the total number of components in the observed multivariate data vector and the multiplicity of the smallest eigenvalue. We propose a selection procedure R, to estimate the multiplicity of the smallest common eigenvalue, which is significantly smaller that the other eigenvalues. We derive the probability of correct estimation, P(CE|R), and the least favorable configuration (LFC) for our procedure. Under the LFC, the P(CE|R) attains its minimum value over the parameter space of all eigenvalues. Therefore, a minimum sample size can be determined from the probability of CE under LFC, P(CE|LFC), in order to implement our new procedure while meeting a guaranteed probability requirement. Numerical examples are presented in order to illustrate our proposed procedure.","PeriodicalId":214828,"journal":{"name":"Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200)","volume":"40 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":"123791523","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
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