NDLI: Stagger period estimation algorithm for multiple sets of radar pulses

Content Provider	IET Digital Library
Author	Zhuojun, Xu Hangwei, Hu Chengwei, Xu Wenting, Yang Chunxu, Li Chengzhi, Yang Yantao, Tian
Abstract	To apply the Ramanujan filter bank based on the compressed sensing theory to the period estimation of multiple sets of radar pulses, alternatives to period data and the Ramanujan Subspace are proposed in this study. First, the rationality of alternatives to the TOA (time of arrival) model is illustrated by comparing the advantages and disadvantages of the time-point model and the TOA model. Next, by clarifying the zero-sum energy property of the Ramanujan Subspace, the possibility of finding an alternative to the discrete Fourier transform sequence with smaller data is proved. On this basis, a new algorithm for estimating the stagger period of mixed pulses is proposed, which introduces the initial phase of the stagger pulses. The results of the experiments show that the algorithm can accurately estimate the hidden stagger periods of mixed pulses, and it is adept at dealing with false and missing mixed pulses.
Starting Page	898
Ending Page	904
Page Count	7
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 6, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0188
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-02-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Bank Filter Compressed Sensing Theory Discrete Fourier Transform Discrete Fourier Transform Sequence Estimation Theory Filtering Method in Signal Processing Hidden Stagger Periods Mixed Pulses Multiple Sets Period Data Radar Pulses Ramanujan Filter Bank Ramanujan SubSpace Signal Processing And Detection Signal Representation Smaller Data Stagger Period Estimation Algorithm Stagger Pulses Statistics Time of Arrival Time Series Time-of-arrival Estimation Time-point Model TOA Model Zero-sum Energy Property
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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