基于生物地理学优化的雷达正交波形设计算法

doi:10.13229/j.cnki.jdxbgxb201403046

摘要/Abstract

摘要： 为了提高MIMO雷达发射信号多相序列的正交性能,提出了基于改进生物地理学优化的雷达正交波形设计算法(POBBO)。该算法首先对生物地理学优化算法(BBO)进行改进,直接采用个体的栖息地适宜度指数(HSI)值来确定迁入迁出率,对其原始确定机制进行大幅简化,在实时反映个体优劣程度的同时,缩短由排序带来的时间损耗。另外,引入分段Logistic混沌映射改进原变异机制,实现对新个体的有效开采。POBBO算法利用改进后BBO算法的栖息地间物种迁移和变异进行信息交互,改善栖息地的HSI值,从而得到具有较好正交性能的多相序列波形。仿真试验结果表明:POBBO算法比其他多相序列波形设计算法在整体上具有明显优势,可以有效地兼顾搜索精度和速度。

关键词: 信息处理技术, 生物地理学优化, 正交波形设计, 分段logistic混沌映射, 迁入迁出率

Abstract: To improve the orthogonal performance of polyphase sequences of transmitting signals for Multiple-Input Multiple-Output (MIMO) radar, a modified biogeography-based optimization algorithm, POBBO, is proposed for designing orthogonal waveform of polyphase sequences for radar. In this proposed algorithm, the Biogeography-based Optimization algorithm (BBO) is improved. The Habitat Suitability Index (HSI) for individuals is directly adopted to determine the immigration rate and the emigration rate, which significantly simplifies the original method. This reflects the real-time quality for individuals meanwhile shortens 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, POBBO utilizes the migration and the mutation among the habitats of BBO to interact and improve the HSI. Numerical experiments show that POBBO is competitive with other waveform design algorithms in terms of search accuracy and speed.

Key words: information processing, biogeography-based optimization, orthogonal waveform design, piecewise logistic chaotic map, the immigration rate and the emigration rate

中图分类号:

TN911.73

毕晓君,王珏,李博. 基于生物地理学优化的雷达正交波形设计算法[J]. 吉林大学学报(工学版), 2014, 44(3): 867-873.

BI Xiao-jun,WANG Jue,LI Bo. Orthogonal waveform design for radar based on biogeography-based optimization[J]. 吉林大学学报(工学版), 2014, 44(3): 867-873.

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