Sparse Recovery of Intermittent Frequency Hopping Signals Aided by DOA

Annan Dong, Anushreya Ghosh, Alexander Haimovich, Jason Dabin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Radio frequency sources with frequency hopping (FH) are observed at a fusion center via sensor measurements made over additive white Gaussian noise channels. The number of sources may be larger than the number of sensors, but their activity is sparse and intermittent with bursty transmission patterns accounted for by hidden Markov models. Blind source estimation of intermittent FH signals is solved via a proposed algorithm, consisting of a direction of arrival (DOA) estimation step, an FH estimation step, and a pairing step. The DOA estimation step is achieved by merging the FH effect and the complex amplitude of the signal, and FH estimation step is completed by estimating likewise by merging the DOA effect and the complex amplitude of the signal. After DOA and FH are estimated, a crucial procedure of pairing is operated by picking a pair of estimated DOA and estimated FH patterns that provides the best fit to the data at each time sample over all possible pairs. To this end, a smooth least absolute shrinkage and selection operator (LASSO) algorithm is integrated with DOA and FH estimation steps, while a standard LASSO algorithm is utilized for pairing step. It is shown that the proposed algorithm can separate FH signals with high accuracy and the pairing step can effectively eliminate false alarms during previous DOA and FH estimation steps.

Original languageEnglish (US)
Title of host publication2020 54th Annual Conference on Information Sciences and Systems, CISS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728140841
DOIs
StatePublished - Mar 2020
Event54th Annual Conference on Information Sciences and Systems, CISS 2020 - Princeton, United States
Duration: Mar 18 2020Mar 20 2020

Publication series

Name2020 54th Annual Conference on Information Sciences and Systems, CISS 2020

Conference

Conference54th Annual Conference on Information Sciences and Systems, CISS 2020
CountryUnited States
CityPrinceton
Period3/18/203/20/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence

Keywords

  • Blind source separation
  • Direction of arrival
  • Frequency hopping
  • Intermittent and sparse sources

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