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MINIMAX CFAR DETECTION IN ADDITIVE GAUSSIAN NOISE OF UNKNOWN COVARIANCE
被引:13
作者
:
SCHWARTZ, RE
论文数:
0
引用数:
0
h-index:
0
机构:
General Electric Co., Syracuse, N.Y.
SCHWARTZ, RE
机构
:
[1]
General Electric Co., Syracuse, N.Y.
来源
:
IEEE TRANSACTIONS ON INFORMATION THEORY
|
1969年
/ 15卷
/ 06期
关键词
:
D O I
:
10.1109/TIT.1969.1054371
中图分类号
:
TP [自动化技术、计算机技术];
学科分类号
:
0812 ;
摘要
:
By employing invariance theory and the Hunt-Stein theorem in particular, CFAR and minimax detectors are derived for a signal of unknown phase in the presence of additive Gaussian noise of unknown covariance. © 1969 IEEE. All Rights Reserved.
引用
收藏
页码:722 / +
相关论文
共 2 条
[1]
KIEFER J., 1966, MULTIVARIATE ANAL, P255
[2]
LOCALLY MINIMAX TESTS
[J].
SCHWARTZ, RE
论文数:
0
引用数:
0
h-index:
0
SCHWARTZ, RE
.
ANNALS OF MATHEMATICAL STATISTICS,
1967,
38
(02)
:340
-&
←
1
→
共 2 条
[1]
KIEFER J., 1966, MULTIVARIATE ANAL, P255
[2]
LOCALLY MINIMAX TESTS
[J].
SCHWARTZ, RE
论文数:
0
引用数:
0
h-index:
0
SCHWARTZ, RE
.
ANNALS OF MATHEMATICAL STATISTICS,
1967,
38
(02)
:340
-&
←
1
→