摘要
针对线性调频(LFM)雷达信号的参数估计问题,采用4片ADSP-TS101S构成的雷达信号参数估计平台,实现了一种基于改进三次相位函数的LFM信号参数估计算法.该算法只需要通过二阶非线性变换在信号参数空间形成最大值来估计LFM信号参数.在多分量的情况下,讨论了信号自项和交叉项与时间的关系,提出使用加权平均的方法来改进算法,有效抑制了交叉项干扰.实验表明,在较低信噪比下,该算法可以有效地估计多分量LFM信号参数.
A platform with 4 ADSP-TS101Ss was used to estimate the parameters of radar signals. This platform made use of an algorithm based on an improved cubic phase function for estimating the parameters of linear frequency modulation (LFM) radar signals. It required a second-order nonlinear transform that yielded the maximization of the parameter field to estimate the parameters. For multi-component LFM signals, this paper discusses the relation-ship between time and the self-term and cross-term, and proposes a method which effectively constrains cross-terms with weighted means to improve the algorithm. Experiments showed that the method effectively estimates the parameters of multi-component LFM signals in low SNR.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2009年第3期318-322,共5页
Journal of Harbin Engineering University
基金
国防基础研究基金资助项目(A2420061104-06)
关键词
三次相位函数
参数估计
线性调频信号
加权平均
cubic phase function (CPF)
parameter estimation
LFM signal
weighted mean