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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1103

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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