Locally Most Powerful Invariant Tests for Signal Detection

Locally most powerful tests and invariant tests are combined in a new detector to test for the presence of a signal in additive white Gaussian noise. Such tests, locally most powerful invariant (LMPI) tests, are defined using a number of orthogonal linear subspaces, and the second-order signal statistics in each subspace.

[1]  Benjamin Friedlander,et al.  Performance analysis of transient detectors based on a class of linear data transforms , 1992, IEEE Trans. Inf. Theory.

[2]  Sean A. Ramprashad,et al.  Signal modeling and detection using cone classes , 1996, IEEE Trans. Signal Process..

[3]  L. Scharf,et al.  Statistical Signal Processing: Detection, Estimation, and Time Series Analysis , 1991 .

[4]  Iickho Song,et al.  Locally optimum detection of signals in a generalized observation model: The random signal case , 1990, IEEE Trans. Inf. Theory.

[5]  T.W. Parks,et al.  General cone classes for signal modeling and detection , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[6]  Nirmal K. Bose,et al.  Quadratic-linear filters for signal detection , 1991, IEEE Trans. Signal Process..

[7]  William A. Gardner Structural characterization of locally optimum detectors in terms of locally optimum estimators and correlators , 1982, IEEE Trans. Inf. Theory.

[8]  Gerald S. Rogers,et al.  Mathematical Statistics: A Decision Theoretic Approach , 1967 .

[9]  Sarunas Raudys,et al.  On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Anil K. Jain,et al.  39 Dimensionality and sample size considerations in pattern recognition practice , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.

[11]  N. L. Johnson,et al.  Continuous Univariate Distributions. , 1995 .

[12]  W. Rudin Principles of mathematical analysis , 1964 .

[13]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[14]  H. Vincent Poor,et al.  An introduction to signal detection and estimation (2nd ed.) , 1994 .