Multi-Function Radar Pulse Sequence Change Point Detection Based on Bayesian Criterion
FNAG Yi1 CHEN Qiu-Ju 1; 2 PAN Ji-Fei 1; 2 BI Da-Ping1
1． Institute of Electronic Countermeasure, National University of Defence Technology, Hefei Anhui 230037, China
2． Laboratory of Electronic Countermeasure Information Processing, National University of Defence Technology, Hefei Anhui 230037, China
Abstract：An iterative detection algorithm, based on fixed length sliding window, is proposed for multi-function phased array radar (MPAR) behavior recognition. First, characteristic parameters such as frequency, pulse width, pulse amplitude, pulse repetition interval and beam orientation are extracted. Then the pulse sequence is divided by sliding the appropriate fixed-length window. Finally, the conditional probability is calculated step by step based on Bayesian criterion, and the probability result is compared with the previous probability to determine whether it is a change point. This approach can be applied to the problem of radar behavior recognition without prior knowledge. The effectiveness of the proposed the approach is demonstrated by simulation results.
2019, Vol. 5 
