Title :
Optimization of multiple frequency slopes waveform based on genetic algorithm for MIMO radar
Author :
Siyao Hou ; Zhulin Zong
Author_Institution :
Inst. of Electron. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Design of orthogonal waveforms with good correlation property is crucial for implementing multiple input multiple output (MIMO) radar. Firstly, a waveform set design using multiple frequency slopes (MFS) is presented. Secondly, for getting an optimization result, genetic algorithm (GA) is proposed to numerically search optimal frequency slope sequences for MFS waveforms. Finally, the simulation results and comparisons show that the optimal method proposed in this paper can make the MFS waveforms have good orthogonal performance.
Keywords :
MIMO radar; correlation methods; genetic algorithms; MFS waveforms; MIMO radar; correlation property; genetic algorithm; multiple frequency slopes waveform; multiple input multiple output radar; optimal frequency slope sequences; orthogonal waveforms; waveform set design; Correlation; Genetic algorithms; MIMO radar; OFDM; Optimization; Sociology;
Conference_Titel :
Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3050-0
DOI :
10.1109/ICCCAS.2013.6765316
