基于PSO的舰船成像多普勒参数的标定算法  

Calibration algorithm of ship imaging Doppler parameters based on PSO

作　　者：田君[1] TIAN Jun(Tongliao Vocational College,Department of Information Technology,Tongliao 028000,China)

机构地区：[1]通辽职业学院信息技术系,内蒙古通辽028000

出　　处：《舰船科学技术》2020年第6期55-57,共3页Ship Science and Technology

基　　金：内蒙古自治区高等学校科学研究项目(NJSY17613)

摘　　要：针对原有舰船成像多普勒参数标定算法标定结果误差率较高的问题,引用粒子优化算法设计基于PSO的舰船成像多普勒参数的标定算法。采用三维物理量转化二维数字模型的形式,构建理想舰船成像模型。将此模型作为算法设计基础,引用PSO算法中的进化算法,提取多普勒参数估计值区间,并设定专属数据表存储提取结果。对数据库内的数据根据设定的多普勒参数优化流程,展开处理与运算,获取多普勒参数估计值区间的最优解,即多普勒参数标定结果。构建算法测试环节,设定测试目标并获取此算法使用效果。通过与原有算法对比结果可知,此算法标定结果误差率远低于原有算法标定结果误差率。Aiming at the high error rate of the original ship imaging Doppler parameter calibration algorithm, particle optimization algorithm is used to design the calibration algorithm based on PSO. An ideal ship imaging model is constructed by transforming 3 D physical quantity into 2 D digital model. Taking this model as the basis of algorithm design, the evolution algorithm in PSO algorithm is used to extract the Doppler parameter estimation range, and the exclusive data table is set to store the extraction results. According to the set Doppler parameter optimization process, the data in the database are processed and calculated to obtain the optimal solution of Doppler parameter estimation interval, that is, Doppler parameter calibration result. Build the algorithm test link, set the test goal and obtain the effect of the algorithm. Compared with the original algorithm, the calibration error rate of this algorithm is far lower than that of the original algorithm.

关 键 词：粒子群优化算法 多普勒参数 成像雷达 参数标定 

分 类 号：TN958.2[电子电信—信号与信息处理]