IEEE International Radar Conference, 2005.最新文献_第2页

Effect of Earth's rotation and range foldover on space based performance 地球自转和范围折叠对天基性能的影响

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435808

S. Pillai, B. Himed, K. Li

引用次数: 5

Computationally-efficient range-dependence compensation method for bistatic radar STAP 计算效率高的双基地雷达距离相关补偿方法

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435919

F. Lapierre, J. Verly

引用次数: 23

Low cost X-band power amplifier MMIC fabricated on a 0.25 /spl mu/m GaAs pHEMT process 采用0.25 /spl μ m GaAs pHEMT工艺制造的低成本x波段功率放大器MMIC

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435787

W. Bosch, J. Mayock, M. O'Keefe, J. McMonagle

引用次数: 11

Site-specific modeling tools for predicting the impact of corrupting mainbeam targets on STAP 特定于站点的建模工具，用于预测破坏主梁目标对STAP的影响

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435857

K. Ohnishi, J. Bergin, C. M. Teixeira, P. Techau

引用次数: 0

A time domain beamforming method of UWB pulse array 一种超宽带脉冲阵列的时域波束形成方法

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435916

Wang Min, Wu Shunjun

引用次数: 6

Optimization design of NLFM signal and its pulse compression simulation 非线性调频信号的优化设计及其脉冲压缩仿真

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435855

Pan Yi-chun, Peng Shirui, Yan Kefeng, Dong Wen-feng

引用次数: 30

Geometrical considerations for terrain mapping in SBR applications SBR应用中地形测绘的几何考虑

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435809

K. Li, S. Mangiat, S. R. Pillai, B. Himed

引用次数: 0

Radar signal detection in non-Gaussian distributed clutter by Bayesian predictive densities 基于贝叶斯预测密度的非高斯分布杂波雷达信号检测

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435834

H. Yamaguchi, A. Kajiwara, S. Hayashi

引用次数: 3

A unified out-of-sequence measurements filter 统一的乱序测量滤波器

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435867

Yu Anxi, L. Diannong, H. Weidong, D. Zhen

{"title":"A unified out-of-sequence measurements filter","authors":"Yu Anxi, L. Diannong, H. Weidong, D. Zhen","doi":"10.1109/RADAR.2005.1435867","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435867","url":null,"abstract":"When sensor data from multiple platforms is collected and fused in centralized manner, sensor measurements can arrive out-of-sequence at the central processor due to varying pre-processing times at the platforms and uncertain data transmission delays in communication networks. As a result, classical filters for orderly measurements, such as Kalman filter, cannot be used directly. There are three classes of OOSM (out-of-sequence measurements), respectively called single-lag OOSM, multiple-lag OOSM, and mixed-lag OOSM. For the first two classes of OOSM, C.A. Stelios et al (1988), R.D. Hilton et al., (1993), Y. Bar-Shalom (2002), and M. Mallick et al. (2001) have studied some optimal or suboptimal filters. This paper develops a recursive filter algorithm called UOOSMF (unified out-of-sequence measurements filter), which can sequentially process the OOSM in order of the time of arrival and is suboptimal in the linear MMSE sense under one acceptable approximation. The filter is accommodated with all the above three classes of OOSM. With the same measurements, the estimation accuracy of the UOOSMF is almost the same as standard Kalman filter for orderly measurements, and its computations and memory requirements are low. Numerical example proves the above conclusions.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126171645","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: 18

On the probability distribution function for airborne radar clutter 机载雷达杂波的概率分布函数研究

IEEE International Radar Conference, 2005. Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435870

A. Parthiban, J. Madhavan, P. Radhakrishna, D. Savitha, L. Kumar

{"title":"On the probability distribution function for airborne radar clutter","authors":"A. Parthiban, J. Madhavan, P. Radhakrishna, D. Savitha, L. Kumar","doi":"10.1109/RADAR.2005.1435870","DOIUrl":"https://doi.org/10.1109/RADAR.2005.1435870","url":null,"abstract":"Modern airborne radars have stringent clutter-limited performance requirements and have become increasingly more complex and less tractable for mathematical analysis. Moreover, the performance evaluation associated with many detector structures is often intractable by analytical means. So computer simulation is an obvious choice for obtaining quantitative results if the radar is set to operate in hostile scenarios. Radar returns must be statistically modeled to predict the radar performance and optimize the resources. It is well known that as the patch size illuminated in low grazing angles by the modern high-resolution radar decreases, the statistical properties of the resulting backscatter or clutter no longer obey the central limit theorem and tend to deviate from the normal distribution in many practical scenarios. The experimentally measured amplitude probability density function (APDF) of clutter reflections exhibits the larger deviations and is better fitted by APDFs such as lognormal, Weibull, K-distribution, etc., depending on the illuminated surfaces. The work reported here shows the modeling and simulation of diverse clutters and their suitable APDFs for a given surface. It also takes into consideration the variations of scattering coefficient with grazing angle for the given surface. The validity of the simulated data is ensured through standard statistical tests. These statistical characterizations are more helpful in fixing the threshold for optimized performance.","PeriodicalId":444253,"journal":{"name":"IEEE International Radar Conference, 2005.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126172870","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: 2