Change Point Detection for Fine-Grained MFR Work Modes with Multi-Head Attention-Based Bi-LSTM Network

Detection of the changes in Multi-Functional Radar (MFR) work modes is a critical situation assessment task for Electronic Support Measure (ESM) systems. There are two major challenges that must be addressed: (i) The received radar pulse stream may contain multiple work mode segments of unknown numb...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Yiying Fang, Qihang Zhai, Ziwei Zhang, Jing Yang
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Subjects:	bi-directional long short-term memory (Bi-LSTM) Change Point Detection (CPD) Multi-Functional Radar (MFR) fine-grained work modes multi-head attention
Online Access:	https://www.mdpi.com/1424-8220/23/6/3326