Title :
PSO optimization algorithm for multilevel biphase codes in radar systems
Author :
Heidari, T. ; Tonkaboni, T. ; Norouzi, Y.
Author_Institution :
Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this paper multirate biphase pulse compression codes optimization using particle swarm algorithm, has been considered. Amplitude and phase of code elements has been optimized so that minimum side lobe level (SLL) for ambiguity function (AF) is achieved while preserving energy efficiency. After optimization, the phase of each chip of the codes will be other 0 or 180 and its amplitude will be between 0 and 1.The method´s ability to decrease SLL in an arbitrary range of AF has been considered. Simulation results show that appropriate energy with SLL of lower than -30dB can be obtained. Also this results show that with appropriate energy in the specified AF range, SLL can be reduced to lower than -90dB.
Keywords :
codes; energy conservation; particle swarm optimisation; pulse compression; radar signal processing; telecommunication power management; AF; PSO optimization algorithm; ambiguity function; code element amplitude; code element phase; energy efficiency; minimum SLL; minimum side lobe level; multirate biphase pulse compression code optimization; particle swarm optimization algorithm; radar system; Algorithm design and analysis; Correlation; Energy efficiency; Matched filters; Optimization; Particle swarm optimization; Radar; Ambiguity function; Multilevel biphased compressed codes; Particle swarm optimization; Radar; Side lobes;
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
DOI :
10.1109/IRS.2015.7226377