摘要
为解决传统雷达辐射源信号脉内特征参数评估方法指标单一,实用性差,未形成评估体系等问题,构建了脉内特征参数的CSS评估体系。该体系以时间复杂性、可分离性、鲁棒性为基本评估指标,按照信噪比等级分别进行特征参数的评估,通过层次分析法确定指标权值,利用不同指标的加权和作为满意度评分值。仿真实验验证了所提CSS体系的有效性,该体系可为遴选最符合用户需求的特征参数提供可靠依据,较传统评估方法提高了评估结果的全面性和准确性。
In order to solve the problem that traditional radar signal characteristics estimating meth- ods have single index, poor practical and evaluation systems and no estimation system is formed, a novel complexity separability stability (CSS) estimating system is built. The estimating system uses time com- plexity, separability and stability as three basic estimating indexes to estimate impulse characteristics ac- cording to different signal noise ratio (SNR) levels and get the index weights by analytical hierarchy process (AHP) method using the sum of weighted index as the satisfaction score. Simulation experiments verify the validity of the CSS estimating system, showing it can provide reliable evidence for users to choose the best impulse characteristics and improve comprehensiveness and accuracy of the estimating re- suits compared with traditional estimating methods.
出处
《现代防御技术》
北大核心
2015年第5期33-38,150,共7页
Modern Defence Technology
关键词
特征参数
评估体系
雷达辐射源信号识别
信噪比分级
characteristics
estimating system
radar emitter signal recognition
signal noise ratio(SNR) grading