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상태천이확률을 이용한 신경망 기반 PRI 변조형태 인식방법
한진우(Jin-Woo Han),송규하(Kyu-Ha Song),박병구(Byung-Koo Park),조제일(Je-Il Jo),김산해(San-He Kim) 대한전자공학회 2011 대한전자공학회 학술대회 Vol.2011 No.12
The intervals between the TOA of a received pulsetrain from a radar have a specific pattern, because the radar should receive its own signals returned from a target to measure the distance between the radar and the target. In this paper, we propose a novel method of recognizing PRI modulation type based on neural network using state transition probability. The method is shown via computer simulation to be greatly reliable and robust even in the presence of missing and spurious pulses.