Parametric estimation of 2D cubic phase signals using high-order Wigner distribution with genetic algorithm

被引：0
|
作者：
Marko Simeunović
Igor Djurović
Alen Pelinković
机构：
[1] University of Donja Gorica,Faculty for Information Systems and Technologies
[2] Institute for Cutting Edge Information and Communication Technologies,Electrical Engineering Department
[3] University of Montenegro,Department of Air Traffic Safety Electronics Personnel
[4] Serbia and Montenegro Air Traffic Service,undefined
来源：
Multidimensional Systems and Signal Processing | 2019年 / 30卷
关键词：
Polynomial-phase signals; Gaussian noise; Wigner distribution; Francos–Friedlander approach; Genetic algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A two-dimensional (2D) high-order Wigner distribution (HO-WD) is proposed for parameter estimation of 2D polynomial phase signals (PPSs). The genetic algorithm is employed for maximization of the 2D HO-WD. In comparison to the 2D cubic phase function and classical Francos and Friedlander approach, the 2D HO-WD reduces error propagation effect which leads to lower mean squared error in estimation of signal parameters. The proposed technique is generalized for the 2D higher-order PPS.
引用
收藏
页码：451 / 464
页数：13
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