Detection and identification of stable PRI patterns using multiple parallel hypothesis correlation algorithms
US7133887B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 8, 2003 |
| Grant date | Nov 7, 2006 |
| Priority date | — |
| Expiry date | Nov 23, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S7/021
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An algorithmic approaches that can be implemented in software/firmware/hardware that filters out stable PRI patterns detected within a system that is prosecuting against radar based transmissions are disclosed. The algorithms allow downstream computing assets to concentrate their limited resources on the more complex emitter PRI pattern types. Thus, a portion (e.g., stable signals) of the pulse deinterleave and PRI identification problem is solved without requiring the more computationally expensive processing. The disclosed algorithms can be employed, for example, in electronic support measures (ESM) systems, electronic intelligence (ELINT) systems, and/or a electronic countermeasures (ECM) systems. The algorithms employ linear detection, linear regression, or a combination of linear detection and linear regression, thereby providing a “dual voting” scheme that decreases the occurrence of false positives. Other algorithmic approaches can be used as well in a multi-voting scheme that considers PRI estimates from distinct analysis types.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.