Enhanced Probability Weighted Eigenwaveform Applied in Cognitive Radar for Target Identification
| Autor: | FAN,GHING-HUNG, 范敬鴻 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 In this research,it covered few scopes of increasing the probability of detection, investigating the differences between point target and extended target, and applying the optimum waveform.The optimum waveform that matches the extended target is called eigenwaveform.In the scenario of one true among multiple false targets identification,this research paper proposes a cognitive method to utilize each eigenwaveform to form the transmit waveform that is best fitted to multiple targets and rapidly converge to true target to gain the knowledge of environment with the given or set threshold.This research discuss also about the improvement of the method of match-filtered probability weighted Eigenwaveform(MF-PWE).The bias of the difference between targets’eigenvalues does have the impact to detection probability in probability update process.In the scenario of limited update number due to fast target moving,we propose a new parameter to control the update speed to increase the detection rate and proven with simulation. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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