Statistical modelling for missing and spurious pulses in pulse repetition interval (PRI) analysis
Pulse repetition interval (PRI) analysis based on histogram method is widely used in electronic intelligence (ELINT) systems for emitter recognition. The identification of PRI modulation types using the statistical histogram method has faced inaccurate recognition due to error caused by missing and...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Science and Technology Research Institute for Defence
2016
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/74526/ http://eprints.utm.my/74526/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Pulse repetition interval (PRI) analysis based on histogram method is widely used in electronic intelligence (ELINT) systems for emitter recognition. The identification of PRI modulation types using the statistical histogram method has faced inaccurate recognition due to error caused by missing and spurious pulses. In this study, the modelling for the statistical prediction of spurious and missing pulses is done to estimate their distributions density of occurrences that can be related to the robustness of the PRI analysis method. The statistical modelling is simulated using the histogram PRI analysis method and the proposed model is tested for its feasibility using Monte-Carlo simulation. The results obtained show that the proposed model can be used to estimate the presence of missing and spurious pulses, and can be used for testing of the robustness of PRI analysis methods. |
|---|