Blind high resolution localization and tracking of multiple frequency hopped signals

Xiangqian Liu; Nicholas D. Sidiropoulos; Ananthram Swami

Blind high resolution localization and tracking of multiple frequency hopped signals

Xiangqian Liu
, Nicholas D. Sidiropoulos
, Ananthram Swami

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper considers the problem of blind localization and tracking of multiple frequency-hopped spread-spectrum (FHSS) signals using an antenna array, without knowledge of hopping patterns. We first identify a hop-free subset of data by discarding high-entropy spectral slices from the spectrogram, then perform low-rank decomposition of four-way data generated by capitalizing on both spatial and temporal shift invariance for high resolution Direction of Arrival (DOA) recovery. After MMSE beam-forming, a dynamic programming approach is developed for joint ML estimation of signal frequencies and hopping instants for signal user tracking.

Original language	English (US)
Pages (from-to)	1089-1093
Number of pages	5
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	2
State	Published - 2001
Event	35th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 4 2001 → Nov 7 2001

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@article{315b4eb1fd8b4e5688b4b2191f98c558,

title = "Blind high resolution localization and tracking of multiple frequency hopped signals",

abstract = "This paper considers the problem of blind localization and tracking of multiple frequency-hopped spread-spectrum (FHSS) signals using an antenna array, without knowledge of hopping patterns. We first identify a hop-free subset of data by discarding high-entropy spectral slices from the spectrogram, then perform low-rank decomposition of four-way data generated by capitalizing on both spatial and temporal shift invariance for high resolution Direction of Arrival (DOA) recovery. After MMSE beam-forming, a dynamic programming approach is developed for joint ML estimation of signal frequencies and hopping instants for signal user tracking.",

author = "Xiangqian Liu and Sidiropoulos, \{Nicholas D.\} and Ananthram Swami",

year = "2001",

language = "English (US)",

volume = "2",

pages = "1089--1093",

journal = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",

issn = "1058-6393",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "35th Asilomar Conference on Signals, Systems and Computers ; Conference date: 04-11-2001 Through 07-11-2001",

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TY - JOUR

T1 - Blind high resolution localization and tracking of multiple frequency hopped signals

AU - Liu, Xiangqian

AU - Sidiropoulos, Nicholas D.

AU - Swami, Ananthram

PY - 2001

Y1 - 2001

N2 - This paper considers the problem of blind localization and tracking of multiple frequency-hopped spread-spectrum (FHSS) signals using an antenna array, without knowledge of hopping patterns. We first identify a hop-free subset of data by discarding high-entropy spectral slices from the spectrogram, then perform low-rank decomposition of four-way data generated by capitalizing on both spatial and temporal shift invariance for high resolution Direction of Arrival (DOA) recovery. After MMSE beam-forming, a dynamic programming approach is developed for joint ML estimation of signal frequencies and hopping instants for signal user tracking.

AB - This paper considers the problem of blind localization and tracking of multiple frequency-hopped spread-spectrum (FHSS) signals using an antenna array, without knowledge of hopping patterns. We first identify a hop-free subset of data by discarding high-entropy spectral slices from the spectrogram, then perform low-rank decomposition of four-way data generated by capitalizing on both spatial and temporal shift invariance for high resolution Direction of Arrival (DOA) recovery. After MMSE beam-forming, a dynamic programming approach is developed for joint ML estimation of signal frequencies and hopping instants for signal user tracking.

UR - https://www.scopus.com/pages/publications/0035574835

UR - https://www.scopus.com/pages/publications/0035574835#tab=citedBy

M3 - Conference article

AN - SCOPUS:0035574835

SN - 1058-6393

VL - 2

SP - 1089

EP - 1093

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

T2 - 35th Asilomar Conference on Signals, Systems and Computers

Y2 - 4 November 2001 through 7 November 2001

ER -

Blind high resolution localization and tracking of multiple frequency hopped signals

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