Signal selection for robust matched filtering
Abstract
The optimum signal selection problem under a power constraint for minimax robust discrete-time finite-length matched filtering is studied. The classical solution, which is to choose the signal as a minimum-eigenvalue eigenvector of the noise covariance matrix, is generalized to cases in which the transmitted signal is subject to channel distortion modeled by mean-square, maximum-absolute, and mean-absolute distortion uncertainty classes.
- Publication:
-
IEEE Transactions on Communications
- Pub Date:
- May 1983
- Bibcode:
- 1983ITCom..31..667V
- Keywords:
-
- Digital Filters;
- Matched Filters;
- Robustness (Mathematics);
- Signal Processing;
- Signal To Noise Ratios;
- Time Series Analysis;
- Communication Theory;
- Eigenvalues;
- Eigenvectors;
- Optimization;
- Performance Prediction;
- Reliability Engineering;
- Transmission Efficiency;
- Electronics and Electrical Engineering