Sequential rank law of signal detection on a background of Markov noise
Abstract
The paper examines a binary sequential truncated rank procedure of signal detection based on the lower and upper boundedness of the solving statistics. A method for calculating the distribution of the number of observations of single-channel and multichannel detectors in the presence of Markov noise is presented. The advantages of the proposed procedure as compared with a single-threshold Neumann-Pearson procedure are indicated.
- Publication:
-
Radioehlektronika
- Pub Date:
- April 1985
- Bibcode:
- 1985Radel..28...20A
- Keywords:
-
- Background Noise;
- Markov Processes;
- Sequential Analysis;
- Signal Detection;
- Channels (Data Transmission);
- Neumann Problem;
- Pearson Distributions;
- Rank Tests;
- Communications and Radar