Model-based adaptive target detection in clutter using MIMO radar

被引：0

作者：

Sheikhi, Abbas ^{[1
]}

Zamani, Ali ^{[1
]}

Norouzi, Yaser ^{[2
]}

机构：

[1] Shiraz Univ, Dept Elect Engn, Shiraz, Iran

[2] Shiraz Univ, Dept Elect Engn, Tehran, Iran

来源：

PROCEEDINGS OF 2006 CIE INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 | 2006年

关键词：

MIMO radar; model based detection; adaptive detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper the problem of target detection using coherent pulse terrain in auto regressive (AR) clutter has been considered for MIMO radars. We have formulated this problem as a hypothesis test. Using the generalized likelihood ratio test (GLRT) an adaptive decision scheme has been developed for clutter with known order but unknown parameters. The performance of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called doppler spread in this paper.

引用

页码：57 / +

页数：2