Pulse train PDA analysis and deinterleaving filter

Benjamin J. Slocumb; Edward W. Kamen

doi:10.1117/12.280808

28 July 1997 Pulse train PDA analysis and deinterleaving filter

Benjamin J. Slocumb, Edward W. Kamen

Proceedings Volume 3068, Signal Processing, Sensor Fusion, and Target Recognition VI; (1997) https://doi.org/10.1117/12.280808
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

This paper develops the pulse train probabilistic data association filter (PT-PDAF) for use in pulse train analysis and deinterleaving applications. The approach is based on a state-space formulation of the pulse train evolution model. The PDA approach overcomes real-world problems of false and missing pulses which cause the basic Kalman filter to break down. Simulations are developed to show that the PT-PDAF approach is superior to a nearest neighbor filter. An augmented PDA approach which incorporates available pulse parameter measurements such an angle of arrival into the PDA algorithms is shown to further improve the filter performance.

Citation Download Citation

Benjamin J. Slocumb and Edward W. Kamen "Pulse train PDA analysis and deinterleaving filter", Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280808

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