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Online Hop Timing Detection and Frequency Estimation of Multiple FH Signals
Author(s) -
Sha ZhiChao,
Liu ZhangMeng,
Huang ZhiTao,
Zhou YiYu
Publication year - 2013
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.13.0112.0787
Subject(s) - hop (telecommunications) , autoregressive model , computer science , frequency hopping spread spectrum , sorting , algorithm , real time computing , telecommunications , mathematics , statistics
This paper addresses the problem of online hop timing detection and frequency estimation of multiple frequency‐hopping (FH) signals with antenna arrays. The problem is deemed as a dynamic one, as no information about the hop timing, pattern, or rate is known in advance, and the hop rate may change during the observation time. The technique of particle filtering is introduced to solve this dynamic problem, and real‐time frequency and direction of arrival estimates of the FH signals can be obtained directly, while the hop timing is detected online according to the temporal autoregressive moving average process. The problem of network sorting is also addressed in this paper. Numerical examples are carried out to show the performance of the proposed method.

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