Stochastic-constraints method in nonstationary hot-clutter cancellation - Part II: Unsupervised training applications

被引：34
作者：
Abramovich, YI
Spencer, NK
Anderson, SJ
机构：
[1] Cooperat Res Ctr Sensor Signal & Informat Proc, Mawson Lakes, SA 5095, Australia
[2] Def Sci & Technol Org, Suveillance Syst Div, Salisbury, SA 5108, Australia
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2000年 / 36卷 / 01期
关键词：
Adaptive filtering - Computer simulation - Interference suppression - Matrix algebra - Radar systems;
D O I：
10.1109/7.826317
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This paper considers the use of "stochastically constrained" spatial and spatio-temporal adaptive processing in multimode nonstationary interference ("hot clutter") mitigation for scenarios that do not allow access to a group of range cells that are free from the backscattered sea/terrain signal ("cold clutter"). Since supervised training methods for interference covariance matrix estimation using the cold-clutter-free ranges are inappropriate in this case, we introduce and analyze adaptive routines which can operate on range cells containing a mixture of hot and cold clutter and possible targets (unsupervised training samples). Theoretical and simulation results are complemented by surface-wave over-the-horizon data processing, recently collected during experimental trials in northern Australia.
引用
收藏
页码：132 / 150
页数：19
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