Generalized Non-Iterative Time Delay Estimation Based on Taylor Interpolation Model

Xiang Zhang, Dali Liu, Chun Zhu, Qing Shen, Jing Tian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Time delay estimation (TDE) has been extensively studied in the past for off-grid cases since the time delay of the target does not fall on the sampling point (on-grid) usually. In this paper, two generalized non-iterative time delay estimation methods are proposed. The maximum range cell sampling point of signal powers after pulse compression is used as a rough estimate of the time delay, while multiple points around the peak location are employed to obtain the fine estimate. Based on the Taylor expansion model, the explicit generalized expressions of two methods for the fine estimate of the time delay are derived without the knowledge of the closed-form signal expression. The proposed methods can be applied in applications where the linear frequency modulation (LFM) signal and the nonlinear frequency modulation (NLFM) signal (without closed-form expression) are employed, and only the sampling values of several points around the peak location are required. Compared with existing methods, improved estimation performance can be achieved by both methods.

Original languageEnglish
Title of host publication2021 CIE International Conference on Radar, Radar 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1085-1089
Number of pages5
ISBN (Electronic)9781665498142
DOIs
Publication statusPublished - 2021
Event2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China
Duration: 15 Dec 202119 Dec 2021

Publication series

NameProceedings of the IEEE Radar Conference
Volume2021-December
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2021 CIE International Conference on Radar, Radar 2021
Country/TerritoryChina
CityHaikou, Hainan
Period15/12/2119/12/21

Keywords

  • Interpolation
  • Taylor expansion
  • Time delay estimation
  • off-grid

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