Decentralized Array Processing with Application to Cooperative Passive Radar

Sissi Xiaoxiao Wu, Anna Scaglione, Louis Scharf

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

Abstract

In this paper we propose a passive RADAR system for a distributed sensor array. Our system is partitioned in two sets of sensors: the set of surveillance sensors and the set of reference sensors, connected through a meshed communication network topology. Rather than using a fusion center, our target detection algorithm uses near-neighbors communications. Messages are therefore exchanged within the surveillance and reference networks and across the two networks. Our decentralized detection algorithm computes the singular values of the coherence matrix between the surveillance and reference measurements, which is necessary to perform a generalized likelihood ratio (GLR) test at each sensor. Simulation results show that as the number of gossip round increases, the proposed decentralized method detection performance are comparable to those of the centralized counterpart.

Original languageEnglish (US)
Title of host publication2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-55
Number of pages5
ISBN (Electronic)9781728155494
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Le Gosier, Guadeloupe
Duration: Dec 15 2019Dec 18 2019

Publication series

Name2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings

Conference

Conference8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019
CountryGuadeloupe
CityLe Gosier
Period12/15/1912/18/19

Keywords

  • cooperative
  • distributed computation
  • Passive RADAR
  • the power method

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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  • Cite this

    Wu, S. X., Scaglione, A., & Scharf, L. (2019). Decentralized Array Processing with Application to Cooperative Passive Radar. In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings (pp. 51-55). [9022464] (2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMSAP45676.2019.9022464