SNR Limits on Kalman Filter Detect-Then-Track

被引：14
|
作者：
Davey, Samuel J. [1 ,2 ]
机构：
[1] Def Sci & Technol Org, Intelligence Surveillance & Reconnaissance Div, Edinburgh, SA 5111, Australia
[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA, Australia
来源：
IEEE SIGNAL PROCESSING LETTERS | 2013年 / 20卷 / 08期
关键词：
PARTICLE FILTER;
D O I：
10.1109/LSP.2013.2262678
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the common parlance of target tracking literature, conventional tracking refers to the sequential application of a single-frame detector to sensor data and a point-measurement association and estimation (tracking) algorithm. In contrast, Track-Before-Detect (TkBD) refers to the processing paradigm where detection and estimation are performed jointly. The TkBD literature reports significant sensitivity improvements over conventional tracking and tends to attribute this to losses at the single-frame detector. This article shows that this is not the case but rather the poor performance of conventional tracking at low signal power is more attributable to the Kalman Filter.
引用
收藏
页码：767 / 770
页数：4
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