Parametric estimation of multi-line parameters based on slide algorithm

S. Djukanović, M. Simeunović, I. Djurović
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Abstract

The subspace-based line detection (SLIDE) algorithm enables the estimation of parameters of multiple lines within a digital image by mapping these lines to frequency modulated (FM) signals. In this paper, we consider the estimation of such obtained FM signals by using estimators developed for polynomial-phase signals (PPSs). For this purpose, a recently proposed method that combines the cubic phase function (CPF) and high-order ambiguity function (HAF), referred to as the product CPF-HAF (PCPF-HAF), has been used. Simulations show that the PCPF-HAF-based estimator is more accurate than the estimators based on time-frequency representations.
基于滑动算法的多行参数估计
基于子空间的线路检测(SLIDE)算法能够通过将这些线路映射到调频(FM)信号来估计数字图像内多条线路的参数。在本文中,我们考虑用多项式相位信号(PPSs)的估计器对得到的调频信号进行估计。为此,最近提出了一种结合三次相函数(CPF)和高阶模糊函数(HAF)的方法,称为积CPF-HAF (PCPF-HAF)。仿真结果表明,基于pcpf - haf的估计器比基于时频表示的估计器精度更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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