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PRI Prediction Enhances EW Training By Scott McDonald & Ken McRitchie Ottawa, Ontario, Canada

MC Countermeasure Inc. PRI Prediction Enhances EW Training By Scott McDonald & Ken McRitchie Ottawa, Ontario, Canada Visit us at http://www.mc-cm.com. Overview. Training vs Operational ECM Need for Prediction PRED Features PRED Performance Summary. DRFM.

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PRI Prediction Enhances EW Training By Scott McDonald & Ken McRitchie Ottawa, Ontario, Canada

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  1. MC Countermeasure Inc. PRI Prediction Enhances EW Training By Scott McDonald & Ken McRitchie Ottawa, Ontario, Canada Visit us at http://www.mc-cm.com

  2. Overview • Training vs Operational ECM • Need for Prediction • PRED Features • PRED Performance • Summary Visit us at http://www.mc-cm.com

  3. DRFM • DRFM-based ECM originally developed for fully coherent applications • Constant PRI makes up-range false targets easy • Would like to do same with non-coherent/coherent on receive radars Visit us at http://www.mc-cm.com

  4. Training Application • RAN/CF Programs • DRFM-based ECM Visit us at http://www.mc-cm.com

  5. Mil-spec Protect platform Configuration control Optimized by threat Highly integrated, compact size Benign environment Non-interference Highly programmable Generate a variety of ECM effects Must replicate current and future generation ECM Operational vs Training Visit us at http://www.mc-cm.com

  6. Constant PRI Visit us at http://www.mc-cm.com

  7. Staggered PRI Visit us at http://www.mc-cm.com

  8. Radar Characteristics • Surveillance, search, acquisition, TTR, TI • Constant, dwell shift, modulated or staggered PRI patterns • Multi-element/position • Sliding • Sinusoidal • 2 us < PRI < 14 ms Visit us at http://www.mc-cm.com

  9. Isolation • Many antennas compete for little space in most EW Training installations • Leads to insufficient isolation to transmit and receive simultaneously • Precludes cover pulse • Situation corrected with PRI prediction Visit us at http://www.mc-cm.com

  10. Features • Fast “learning” • No UDF • Prediction < 250 ns • > 128 positions • Adaptive Acquisition • Fade mode • TG Enhancements Visit us at http://www.mc-cm.com

  11. Block Diagram Visit us at http://www.mc-cm.com

  12. Integration with TG Visit us at http://www.mc-cm.com

  13. Optional FT Generator Visit us at http://www.mc-cm.com

  14. Performance 1 Visit us at http://www.mc-cm.com

  15. Performance 2 Known Radar Parameters 1000 Specification Measured 15/8/01 100 Stagger Pattern Length 10 1 1 10 100 1000 10000 Minimum PRI (us) Visit us at http://www.mc-cm.com

  16. Summary • PRI prediction is necessary to effectively use a DRFM-based system in a modern EW training application • Prediction circuitry is not standard • MC Countermeasures has developed a line of predictors that can be easily interfaced to existing training systems • Integrated with existing TG • Provide additional TG capability • Work around insufficient antenna isolation Visit us at http://www.mc-cm.com

  17. Acknowledgements • The authors would like to acknowledge the contributions of Dan Grise and Remi Gauvin who did much of the hardware and software implementation. • For Further information please feel free to contact us at: MC Countermeasures Inc. 39 Robertson Road – Suite 256 Nepean, Ontario, K2H 8R2, Canada Tel: +1(613) 721-1552 Fax: +1 (613) 721-1553 e-mail: info@mc-cm.com Visit us at http://www.mc-cm.com

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