关键词: 人工智能, 生物地理学优化算法, 正交波形设计, 分段logistic混沌映射, 迁入迁出率确定机制

Abstract: To improve the orthogonal performance of polyphase sequences of transmitting signals for MIMO radar, a modified biogeography-based optimization algorithm, POBBO, is proposed for designing orthogonal waveform of polyphase sequences for radar. Biogeography-based optimization algorithm (BBO) is first improved by the proposed algorithm. The method that determines directly the immigration rate and the emigration rate by HSI for individuals is proposed to simplify the original method significantly, reflect the real-time quality for individuals and shorten the time loss by sorting. Simultaneously, the piecewise logistic chaotic map is introduced to improve the variation mechanism and achieve the effective exploitation for new individuals.In order to obtain the waveform of polyphase sequences with better orthogonal performance, the proposed algorithm, which utilizes the migration and the mutation among the habitats of biogeography-based optimization(BBO) to interact and improve the habitat suitability index(HSI).Numerical experiments have shown that POBBO is competitive with other waveform design algorithms in terms of search accuracy and speed.

Key words: artificial intelligence, biogeography-based optimization, orthogonal waveform design, piecewise logistic chaotic map, the method of obtaining the immigration rate and the emigration rate