Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect
文献类型：期刊论文
| 作者 | Du JS(杜劲松)2; Gao J(高洁)1,2; Wang W(王伟)1,2; Zhou XF(周晓锋) ; Zhou XF(周晓锋); Li S(李帅); Shi HB(史海波)
|
| 刊名 | Sensors (Switzerland)
 |
| 出版日期 | 2018 |
| 卷号 | 18期号:7页码:1-13 |
| 关键词 | target detection radar systems K-distributed clutter heavy-tailed Swerling target track-before-detect (TBD) |
| ISSN号 | 1424-8220 |
| 产权排序 | 1 |
| 通讯作者 | Gao J(高洁) |
| 中文摘要 | This paper considers the detection of fluctuating targets in heavy-tailed clutter through the use of dynamic programming based on track-before-detect (DP–TBD) in radar systems. The clutter is modeled in terms of K-distribution, which can be widely used to describe non-Gaussian clutter received from high-resolution radars and radars working at small grazing angles. Swerling type 1 is considered to describe the target fluctuation between scans. Conventional TBD techniques suffer from significant performance loss in heavy-tailed environments due to the more frequent occurrences of target-like outliers. In this paper, we resort to a DP–TBD algorithm based on prior information, which can enhance the detection performance by using the environment and target fluctuating information during the integration process of TBD. Under non-Gaussian background, the expressions of the likelihood ratio merit function for Swerling type 1 targets are derived first. However, the closed-form of the merit function is difficult to obtain. In order to reduce the complexity of evaluating the merit function and the computational load, an efficient approximation method as well as a two-stage detection approach is proposed and used in the integration process. Finally, several numerical simulations of the new strategy and the comparisons are presented to verify that the proposed algorithm can improve the detection performance, especially for fluctuating targets in heavy-tailed clutter. |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000441334300263 |
| 源URL | [http://ir.sia.cn/handle/173321/22361]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Li S(李帅) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Du JS,Gao J,Wang W,et al. Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect[J]. Sensors (Switzerland),2018,18(7):1-13. |
| APA | Du JS.,Gao J.,Wang W.,Zhou XF.,Zhou XF.,...&Shi HB.(2018).Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect.Sensors (Switzerland),18(7),1-13. |
| MLA | Du JS,et al."Radar detection of fluctuating targets under heavy-tailed clutter using track-before-detect".Sensors (Switzerland) 18.7(2018):1-13. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。