Identification of ground targets from sequential high-range-resolution radar signatures

被引：104
|
作者：
Liao, XJ
Runkle, P
Carin, L
机构：
[1] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
[2] Microelect Ctr N Carolina, Res Triangle Pk, NC 27709 USA
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2002年 / 38卷 / 04期
关键词：
D O I：
10.1109/TAES.2002.1145746
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
An approach to identifying targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is employed to characterize the sequential information contained in multiaspect HRR target signatures. Features from each of the HRR waveforms are extracted via the RELAX algorithm. The statistical models used for the HMM states are formulated for application to RELAX features, and the expectation-maximization (EM) training algorithm is augmented appropriately. Example classification results are presented for the ten-target MSTAR data set.
引用
收藏
页码：1230 / 1242
页数：13
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