Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42070
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nurul Amirah, Azmi | - |
dc.date.accessioned | 2016-06-16T04:14:21Z | - |
dc.date.available | 2016-06-16T04:14:21Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42070 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | Implement 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.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Autocorrelation function | en_US |
dc.subject | Multilevel sequence | en_US |
dc.subject | Radar | en_US |
dc.subject | Radar’s performance | en_US |
dc.title | Imp[lementation techniques of multilevel sequences with good autocorrelation function | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Siti Julia Rosli | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 437.43 kB | Adobe PDF | View/Open | |
Introduction.pdf | 391.57 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 281.96 kB | Adobe PDF | View/Open | |
Methodology.pdf | 628.58 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 218.78 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 186.7 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 267.31 kB | Adobe PDF | View/Open |
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