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http://hdl.handle.net/2080/1103
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| Title: | Efficient Design of Pulse Compression Codes Using Multiobjective Genetic Algorithm |
| Authors: | Sahoo, Ajit Kumar
Panda, G
Pradhan, Pyari Mohan |
| Issue Date: | 2009 |
| Publisher: | PSG College of Technology |
| Citation: | World Congress on Nature and Biologically Inspired Computiing -NaBIC 2009, 9-11 Dec 2009, Coimbatore,India |
| Abstract: | Binary sequences having good aperiodic autocorrelation
functions (ACFs) with low range sidelobes are required
for many communication applications. However, few
such good binary sequences are available having large
sequence length. In this paper nondominated sorting genetic
algorithm-II (NSGA-II) is used to generate biphase pulse
compression codes from length 49 to 100. Pulse compression
technique avoids the transmission of a signal having small
pulse width and high peak power for better range resolution.
The efficiency of these codes depends upon the energy content
in the range sidelobes of their autocorrelation functions.
Peak sidelobe level (PSL) and integrated side lobe level (ISL)
are the two performance measures for pulse compression
codes. In this paper the multi objective problem is designed
by taking PSL and ISL as the objective functions. |
| Description: | copyright for the paper belongs to proceedings publisher |
| URI: | http://hdl.handle.net/2080/1103 |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| sahoo4.pdf | | 286Kb | Adobe PDF | View/Open | | sahoo3.pdf | | 234Kb | Adobe PDF | View/Open |
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