Conning, MPotgieter, F2010-08-182010-08-182010-05Conning, M, and Potgieter, F. 2010. Analysis of measured radar data for specific emitter identification. IEEE Radar Conference, Crystal Gateway Marriott, Washington DC, USA, 10-14 May 2010, pp 4978-14244-581341097-5659http://hdl.handle.net/10204/4161IEEE Radar Conference, Crystal Gateway Marriott, Washington DC, USA, 10-14 May 2010.Measured radar data assisted in the successful development and implementation of Specific Emitter Identification (SEI) signal processing algorithms. The aim of the algorithm is the identification of a specific emitter within a single class of emitters. The processes developed are pulse extraction, feature calculation, dimensionality reduction and classification. A pulse is detected whenever the phase changes from being random to being linear. Time domain features are then calculated from these extracted pulses to populate a feature vector. Some redundancy exists in the feature vector and a process of dimensionality reduction is followed to obtain the optimum set of features. A fuzzy artmap classifier completes the process of specific emitter identification to demonstrate the improvement in Correct Classification Decisions (CCD) using the reduced feature vector.enEmitter identificationRadarElectronic warfareConference PresentationConning, M., & Potgieter, F. (2010). Analysis of measured radar data for specific emitter identification. IEEE. http://hdl.handle.net/10204/4161Conning, M, and F Potgieter. "Analysis of measured radar data for specific emitter identification." (2010): http://hdl.handle.net/10204/4161Conning M, Potgieter F, Analysis of measured radar data for specific emitter identification; IEEE; 2010. http://hdl.handle.net/10204/4161 .TY - Conference Presentation AU - Conning, M AU - Potgieter, F AB - Measured radar data assisted in the successful development and implementation of Specific Emitter Identification (SEI) signal processing algorithms. The aim of the algorithm is the identification of a specific emitter within a single class of emitters. The processes developed are pulse extraction, feature calculation, dimensionality reduction and classification. A pulse is detected whenever the phase changes from being random to being linear. Time domain features are then calculated from these extracted pulses to populate a feature vector. Some redundancy exists in the feature vector and a process of dimensionality reduction is followed to obtain the optimum set of features. A fuzzy artmap classifier completes the process of specific emitter identification to demonstrate the improvement in Correct Classification Decisions (CCD) using the reduced feature vector. DA - 2010-05 DB - ResearchSpace DP - CSIR KW - Emitter identification KW - Radar KW - Electronic warfare LK - https://researchspace.csir.co.za PY - 2010 SM - 978-14244-58134 SM - 1097-5659 T1 - Analysis of measured radar data for specific emitter identification TI - Analysis of measured radar data for specific emitter identification UR - http://hdl.handle.net/10204/4161 ER -