Review of the quasi-maximum likelihood estimator for polynomial phase signals-Reference-Cited by-同舟云学术

Review of the quasi-maximum likelihood estimator for polynomial phase signals

Published:2018-01 Issue: Volume:72 Page:59-74
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Djurović Igor^ORCID,Simeunović Marko

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference125 articles.

1. Cubic phase function: a simple solution for polynomial phase signal analysis;Djurović;Signal Process.,2017

2. High-resolution time–frequency representations based on the local polynomial Fourier transform for over-the-horizon radars;Djurović,2017

3. High-resolution time–frequency distributions for manoeuvring target detection in over-the-horizon radars;Zhang;IEE Proc. Radar Sonar Navig.,2003

4. ISAR imaging of targets with complex motion based on the chirp rate–quadratic chirp rate distribution;Zheng;IEEE Trans. Geosci. Remote Sens.,2014

5. The influence of target acceleration on velocity estimation in dual-channel SAR-GMTI;Sharma;IEEE Trans. Geosci. Remote Sens.,2006

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Parameter Estimation Method for Polynomial Phase Signals via Adaptive EKF;IEEE Internet of Things Journal;2024-06-01

2. Random sample consensus algorithm for the hyperbolic frequency modulated signals parameters estimation;Signal Processing;2024-05

3. An improved parameter estimation of HFM signals based on IRLS linear fitting of extracted group delay;Signal Processing;2024-04

4. Parameter Estimation of Polynomial Phase Signals Using Spectrum Distinction;IEEE Transactions on Aerospace and Electronic Systems;2023-12

5. An improved signal-dependent QTFD based on iterative regional RGK optimization for multi-component LFM signals;Signal Processing;2023-09