Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42070
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dc.contributor.authorNurul Amirah, Azmi-
dc.date.accessioned2016-06-16T04:14:21Z-
dc.date.available2016-06-16T04:14:21Z-
dc.date.issued2015-06-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/42070-
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractImplement the technique for multilevel sequence with good autocorrelation function is to improve the radar’s performance, so the radar can have better range resolution in detecting the target. The radar with better range resolution can be improves by rehisducing the side l item is protecobe energy a d bnd maximizes the ey originnergy ratio. The sidel copyright lobe energy and energy ratio are obtains from te generating a certain sequences. In project, the focus is on developing a method to generate new multilevel sequence with any desired length. The method used was Inverse Filter method, which by generating the new multilevel sequences, lower level of side lobe energy and high energy ratio with good autocorrelation function can be develop. The software used for the coding is an open source software, Scilab.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectAutocorrelation functionen_US
dc.subjectMultilevel sequenceen_US
dc.subjectRadaren_US
dc.subjectRadar’s performanceen_US
dc.titleImp[lementation techniques of multilevel sequences with good autocorrelation functionen_US
dc.typeLearning Objecten_US
dc.contributor.advisorSiti Julia Roslien_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf437.43 kBAdobe PDFView/Open
Introduction.pdf391.57 kBAdobe PDFView/Open
Literature Review.pdf281.96 kBAdobe PDFView/Open
Methodology.pdf628.58 kBAdobe PDFView/Open
Results and Discussion.pdf218.78 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf186.7 kBAdobe PDFView/Open
Refference and Appendics.pdf267.31 kBAdobe PDFView/Open


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