摘要
为了更好地改善单通道多分量调频体制雷达引信信号的时频分布,以便于完成参数估计和信号分离,将自适应chirplet分解法引入到单通道雷达引信信号的分离问题当中,并加入时频曲线弯曲度因子,提出一种改进的自适应chirplet分解法,使其能够被用于非线性相位信号的分解,利用快速算法和优化算法,优化了运算过程,可准确且快速地求解出各参数,得到无交叉项的多分量信号时频分布,使复杂混合情况下的多分量信号也能够被较好地分离.通过仿真,利用该方法对多种情况下混合信号的时频分布进行了很好的改进,而后分解出了各分量信号,并通过分析计算出了相应的混合系数,仿真结果说明了该方法的有效性,且具有一定的抗噪声性能.
An advanced method of signal decomposition-advanced adaptive chirplet decomposition（AACD） is presented to separate the radar fuze mixed signal in single-channel. The method adds curvature factor to the adaptive Gauss chirplet decomposition（AGCD）, thus it can be used to decompose nonlinear time varying components. It uses the fast algorithm and trust region method to optimize arithmetic process, then all the parameters can be solved accurately and quickly, and the mixed signal＇s time-frequency distribution without cross terms is obtained. In the simulation, the advanced method is used to improve the time-frequency distribution of complex mixed signals, then it can separate all the components and calculate the mixing coeficients. Results indicate that the proposed method has higher efiectiveness and strong performance of anti-noise
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2014年第5期418-431,共14页
Acta Physica Sinica
基金
国家自然科学基金(批准号:61301216)
国防预研究基金(批准号:9140A05020212XXXXX1)资助的课题~~
