@inproceedings{cf890cc8bcb04305a653cd9ed19f8f5e,
title = "Orthogonal waveform design based on the modified chaos genetic algorithm for MIMO radar",
abstract = "In view of the traditional genetic algorithm easily fall into local optimum in the late iterations, this paper puts forward an improved chaos genetic algorithm coded orthogonal signal design method which combines the chaos theory and genetic algorithm for MIMO radar. In order to prevent and overcome the 'premature' phenomenon in the process of optimization, the traversal features of the chaos optimization is introduced to the genetic algorithm, which reduces the autocorrelation peak side lobe and cross-correlation peak. Simulation results show that the proposed algorithm is feasible and effective.",
keywords = "MIMO radar, chaotic, genetic algorithm, orthogonal code signal",
author = "Xin Fu and Xianzhong Chen and Qingwen Hou and Zhengpeng Wang and Yixin Yin",
year = "2013",
doi = "10.1007/978-3-642-42057-3\_10",
language = "英语",
isbn = "9783642420566",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "70--77",
booktitle = "Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Revised Selected Papers",
address = "德国",
note = "4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013 ; Conference date: 31-07-2013 Through 02-08-2013",
}