A new pulse deinterleaving algorithm based on Multiple Hypothesis Tracking

The main function of ESM is to receive, measure, deinterleave pulses and then identify alternative threaten emitters, among which pulse deinterleaving process is significantly difficult and important. Dense electromagnetic environments cause an ESM to receive a seemingly total random pulse stream wi...

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Bibliographic Details
Published in2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009) pp. 1 - 4
Main Authors Jingyao Liu, Huadong Meng, Xiqin Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Electromagnetic interference
Electromagnetic measurements
EMP radiation effects
Histograms
Kalman filter
MHT method
pulse deinterleave
Pulse measurements
Radar equipment
Radar measurements
Radar tracking
Target tracking
tracking system
Working environment noise
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Summary:The main function of ESM is to receive, measure, deinterleave pulses and then identify alternative threaten emitters, among which pulse deinterleaving process is significantly difficult and important. Dense electromagnetic environments cause an ESM to receive a seemingly total random pulse stream with large noise. The traditional algorithms have behaved weak and unstable under the rather severe situation, so we propose a new pulse deinterleaving approach based on Multiple Hypothesis Tracking method in target tracking system. Simulation results have shown that the algorithm can perform PRI estimation and pulse recognition with high precision. Moreover, the algorithm is proved to be considerably robust and reliable even with large observation noise and PRI jitter at a missing rate up to 25%.
ISBN:9782912328557
2912328551
ISSN:1097-5764
2640-7736