2007 IEEE Radar Conference最新文献_第2页

Sample Size Analysis for Confidence Interval Estimation of Performance Metrics in ATR Evaluation ATR评价中绩效指标置信区间估计的样本量分析

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374284

Jun He, Hongzhong Zhao, Q. Fu

{"title":"Sample Size Analysis for Confidence Interval Estimation of Performance Metrics in ATR Evaluation","authors":"Jun He, Hongzhong Zhao, Q. Fu","doi":"10.1109/RADAR.2007.374284","DOIUrl":"https://doi.org/10.1109/RADAR.2007.374284","url":null,"abstract":"In this paper, we address the problem of sample size requirement for confidence interval estimation of performance metrics in ATR evaluation. The sample size of test data in ATR evaluation application has been reviewed firstly. We choose the Bayesian method to analyze the problem and select \"minimum length criterion\" to obtain the shortest confidence interval (CI) with the same estimation accuracy. The binomial probability density function is regarded as the likelihood function to calculate the posterior distribution about the metrics. Then CI accuracy requirement in ATR evaluation is discussed. Because the posterior distribution of the metrics depends on the test result, criteria to eliminate the uncertainty from the test result must be considered. The worst outcome (WOC) criterion is chosen to calculate sample sizes for various CI accuracy requirements and the corresponding sample sizes are listed in Table I. Table I shows that the sample size is very large when the CI accuracy requirement is high. Two approaches (specifications and prior information) to reduce the sample size are proposed and discussed. The absolute number of the sample size reduction is great when using the specifications in ATR evaluation applications. Table II contains those minimum sample sizes with various specifications, and its comparison with table I is shown. Whereas the sample size reduction is not large when using prior information because precise prior information about the metrics is always absent. The approximate sample size reductions can be got from table III and IV when considering beta distribution as the prior distribution.","PeriodicalId":367078,"journal":{"name":"2007 IEEE Radar Conference","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128622647","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: 4

Novel Direction-of-Arrival Estimation Techniques for Periodic-Sense Local Positioning Systems 周期感局部定位系统的新到达方向估计技术

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374281

J. Pourrostam, S. Zekavat, Hui Tong

引用次数: 15

Map-Aided Secondary Data Selection 地图辅助辅助数据选择

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374315

S. Berger, W. Melvin, G. Showman

引用次数: 4

Microstrip Antenna Array Solution For Large Size Active Phased Array Aperture 大尺寸有源相控阵孔径微带天线阵列解决方案

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374257

U. K. Revankar, K. S. Beenamole, Prem N. S. Kutiyal, M. Garg, V.S. Kumar, A. Kedar

引用次数: 1

A New Strip Mode Synthetic Aperture Radar (SAR) Data Simulator 一种新型条形合成孔径雷达(SAR)数据模拟器

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374226

O. Dogan, M. Kartal, S. Kent

引用次数: 1

Additive Functions Provide A Powerful Tool For T/R Module Modeling 加法函数为T/R模块建模提供了一个强大的工具

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374394

T. Turlington

引用次数: 3

Characterization of Zero-Doppler Clutter Removal Techniques for ISAR Applications ISAR零多普勒杂波去除技术的特性研究

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374322

J. D. Fowler, M. Temple, M. Havrilla, J. Akerson

引用次数: 5

MEMS Electronically Steerable Antennas for Fire Control Radars 用于火控雷达的MEMS电子操纵天线

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/MAES.2007.4408522

J. Maciel, J.F. Slocum, J.K. Smith, J. Turtle

{"title":"MEMS Electronically Steerable Antennas for Fire Control Radars","authors":"J. Maciel, J.F. Slocum, J.K. Smith, J. Turtle","doi":"10.1109/MAES.2007.4408522","DOIUrl":"https://doi.org/10.1109/MAES.2007.4408522","url":null,"abstract":"Large apertures are of great benefit to applications that are prime powered limited as is found on aerostat and other airborne platforms. Electronically scanned array antennas are often proposed for these applications. However, increasing the aperture area with conventional array technology is met with prohibitive cost, weight, and prime power increases because of the dense spacing of phase shifters and/or active T/R modules. This paper discusses the recent development of RF MEMS (microelectromechanical system) switch technology and the use of these switches in a Radant lens configuration for arrays of approximately 10m2 at X-band. A proof-of-concept 0.4m2 MEMS electronically steerable antenna (ESA) containing 25,000 MEMS switches has been successfully designed fabricated and tested. The 0.4m2 MEMS ESA was then integrated with an AN/APG-67 radar system to form the MEMS demonstration radar system. The MEMS Demonstration Radar system successfully detected both airborne and ground moving targets during a series of extensive radar demonstrations. This is believed to be the first large scale employment of MEMS switches in a scanning antenna and radar system. The low-cost, lightweight and low power technology demonstrated here can enable weight and power constrained platforms with electronic steering.","PeriodicalId":367078,"journal":{"name":"2007 IEEE Radar Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128066197","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: 50

Music-Enhanced CFAR for High Frequency Over-the-Horizon Radar 高频超视距雷达的音乐增强CFAR

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374246

J. Wang, R. Riddolls, A. Ponsford

{"title":"Music-Enhanced CFAR for High Frequency Over-the-Horizon Radar","authors":"J. Wang, R. Riddolls, A. Ponsford","doi":"10.1109/RADAR.2007.374246","DOIUrl":"https://doi.org/10.1109/RADAR.2007.374246","url":null,"abstract":"To increase the number of location options for an HF surface-wave radar (HFSWR) there is significant interest in reducing the physical size of the receive array. Reducing the aperture results in a degradation of both sensitivity and azimuth information. Azimuth accuracy may be retained by the use of high-resolution methods (such as MUSIC) that have a significantly smaller beamwidth than standard beamforming. It is expected that the application of these high-resolution methods will help retain azimuth information with reduced aperture size. This paper evaluates the effects of reducing the physical aperture of the linear receive array used in HFSWR and using post-detection azimuth re-estimation by high-resolution methods to maintain azimuth resolution, accuracy, and hence tracking performance. This paper is limited to evaluating the effect of increased azimuth beamwidth and does not address the issue of reduced radar sensitivity. Data for the evaluation was obtained from an HFSWR system located at Cape Race, Newfoundland, Canada. The accuracy of the detection centroid for a full 16-element array is compared to the accuracy for a half-aperture 8-element array. It is shown that similar accuracy can be achieved from the shortened array employing the MUSIC-Enhanced CFAR compared to the full size array using the conventional CFAR processing.","PeriodicalId":367078,"journal":{"name":"2007 IEEE Radar Conference","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125715482","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: 3

A New Approach to Achieving High-Performance Power Amplifier Linearization 实现高性能功率放大器线性化的新方法

2007 IEEE Radar Conference Pub Date : 2007-04-17 DOI: 10.1109/RADAR.2007.374329

J. Goodman, B. Miller, G. Raz, M. Herman

引用次数: 4