首页> 外文会议> >A modified quasi-best weighted order statistics CFAR algorithm with greatest of selection

【24h】

A modified quasi-best weighted order statistics CFAR algorithm with greatest of selection

机译：一种选择最多的改进的拟最佳加权阶数统计CFAR算法

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In order to improve the performance of OSGO or GOSGO, a CFAR algorithm based on quasi best weighted (QBW) order statistics CFAR method is proposed in this paper. The analytic results show that the performance of QBWGO is evidently superior to that of OSGO or GOSGO both in a homogeneous background and in multiple target situations. If the number of interfering targets is 4, the CFAR loss of QBWGO is 4.659, the CFAR loss of OSGO is 5.357, and an improvement of nearly 1 dB by QBWGO is obtained. In the special case of M/sub 1/=M/sub 2/=0, N/sub 1/=N/sub 2/=0, QBWGO reduces to GO, and in the case of M/sub 1/=N/sub 1/=0, QBWGO reduces to MX-CMLD.

机译：为了提高OSGO或GOSGO的性能，提出了一种基于准最佳加权（QBW）阶次统计CFAR方法的CFAR算法。分析结果表明，无论在同质背景下还是在多个目标情况下，QBWGO的性能均明显优于OSGO或GOSGO。如果干扰目标的数量为4，则QBWGO的CFAR损失为4.659，OSGO的CFAR损失为5.357，并且QBWGO改善了近1 dB。在M / sub 1 / = M / sub 2 / = 0，N / sub 1 / = N / sub 2 / = 0的特殊情况下，QBWGO降低为GO，在M / sub 1 / = N的情况下/ sub 1 / = 0，QBWGO减少为MX-CMLD。

著录项

来源
《》|2003年|p.860-863|共4页
会议地点
作者
Meng Xiangwei; Guan Jian; He You;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类无线电电子学、电信技术;
关键词
radar target recognition; radar detection; statistical analysis; matched filters; quasi-best weighted order statistics CFAR algorithm; cell-average CFAR detector; OSGO; generalized OSGO; multiple target situations; interfering targets; radar target detection; quasi-best weighted order statistics;

机译：雷达目标识别;雷达检测;统计分析;匹配滤波器;准最佳加权阶数统计CFAR算法;单元平均CFAR检测器; OSGO;广义OSGO;多目标情况;干扰目标;雷达目标检测;准最佳加权阶次统计;

相似文献

外文文献
中文文献
专利

1. Analysis of linear weighted order statistics CFAR algorithm [J] . Xiangwei Meng, Jian Guan, You He Systems Engineering and Electronics, Journal of . 2004,第3期

机译：线性加权阶数统计CFAR算法分析
2. Analysis of linear weighted order statistics CFAR algorithm [J] . 孟祥伟, 关键, 何友系统工程与电子技术（英文版） . 2004,第003期

机译：线性加权统计分析CFAR算法
3. Analysis of some modified ordered statistic CFAR: OSGO and OSSO CFAR [J] . Elias-Fuste A.R., de Mercado M.G.G. IEEE Transactions on Aerospace and Electronic Systems . 1990,第1期

机译：分析一些修改后的有序统计CFAR：OSGO和OSSO CFAR
4. A MODIFIED QUASI-BEST WEIGHTED ORDER STATISTICS CFAR ALGORITHM WITH GREATEST OF SELECTION [C] . Meng Xiahgwei, Guan Jian, He You International Conference on Neural Networks and Signal Processing . 2003

机译：具有最大选择的修改的准态度加权级统计CFAR算法
5. Dynamic selection of cryptographic algorithms in a runtime environment using the weighted metric method [D] . Raissi, Jalal 2007

机译：使用加权度量方法在运行时环境中动态选择密码算法
6. Missing Value Estimation Methods Research for Arrhythmia Classification Using the Modified Kernel Difference-Weighted KNN Algorithms [O] . Fei Yang, Jiazhi Du, Jiying Lang, 2020

机译：使用修改的内核差异加权KNN算法缺少价值估计方法研究心律失常分类
7. Design and Implementation of a New CFAR Based on Weighted and Statistical Algorithms [O] . Thamir Saeed, Gufran Hatem, Jafar Abdul Sadah, 2020

机译：基于加权和统计算法的新CFAR的设计与实现
8. Performance Analysis of the Weighted Window CFAR Algorithms [R] . Xiangwei, M. , Jian, G. , You, H. 2003

机译：加权窗CFaR算法的性能分析

A modified quasi-best weighted order statistics CFAR algorithm with greatest of selection

摘要

著录项

相似文献

相关主题

期刊订阅