Multisensor modulation classification (MMC): Implementation considerations- USRP case study

Svetlana Foulke, Jithin Jagannath, Andrew Drozd, Thakshila Wimalajeewa, Pramod K. Varshney, Wei Su

Research output: Chapter in Book/Entry/PoemConference contribution

10 Scopus citations


This paper provides hardware implementation considerations for previously developed algorithms designed to improve the classification of the modulation of weak radio signals utilizing multiple sensors. The case study presented focuses on a likelihood-based approach in a centralized data fusion framework. Data sets from multiple sensors are fused to obtain a more accurate modulation classification as previously demonstrated in simulations. The algorithms are implemented on a hardware test bed that consists of the laboratory grade software defined radio platforms. The performance is examined in realistic environments and compared with results obtained via simulations. The test bed results indicate that the predicted performance improvements are difficult to achieve in practice and the algorithms need to be tailored to account for hardware features and signal propagation effects. Differences between results obtained in simulations and in hardware implementation are discussed and adjustments are made to achieve consistent improvement necessary for refinement of the solution toward military applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE Military Communications Conference
Subtitle of host publicationAffordable Mission Success: Meeting the Challenge, MILCOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781479967704
StatePublished - Nov 13 2014
Event33rd Annual IEEE Military Communications Conference, MILCOM 2014 - Baltimore, United States
Duration: Oct 6 2014Oct 8 2014

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM


Other33rd Annual IEEE Military Communications Conference, MILCOM 2014
Country/TerritoryUnited States


  • SDR
  • USRPs
  • automatic modulation classification
  • multi-sensor systems
  • sensor fusion

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Multisensor modulation classification (MMC): Implementation considerations- USRP case study'. Together they form a unique fingerprint.

Cite this