Blind high resolution localization and tracking of multiple frequency hopped signals

Xiangqian Liu, Nicholas D. Sidiropoulos, Ananthram Swami

Research output: Contribution to journalConference articlepeer-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 languageEnglish (US)
Pages (from-to)1089-1093
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - 2001
Event35th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 4 2001Nov 7 2001

Fingerprint

Dive into the research topics of 'Blind high resolution localization and tracking of multiple frequency hopped signals'. Together they form a unique fingerprint.

Cite this