Asynchronous and high-accuracy digital modulated signal detection by sensor networks

Jefferson L. Xu, Wei Su, Mengchu Zhou

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

13 Scopus citations


Adaptive modulation can be used to significantly enhance the spectrum utilization for both civilian applications, e.g., cognitive radio, and military ones. It requires a receiver to follow the modulation variation of a transmitter dynamically and automatically. Binary automatic modulation detection technology has been applied to detect the modulation scheme for adaptive modulation. Modulation classification was proposed for a multi-sensor scenario in our prior work using a distributed algorithm to enhance the detection accuracy. In this paper, the function of blind detection by the wireless sensor network (WSN) is further extended to support multiple modulation hypotheses. Besides providing spatial diversities, distributed sensors perform complicated calculations of likelihood functions and use the master node (radio) for data fusion and maximum likelihood testing. The proposed method requires no synchronization across the network and works well with low transmission bandwidth. Both analytical and numerical results are presented to validate its effectiveness.

Original languageEnglish (US)
Title of host publication2010 Military Communications Conference, MILCOM 2010
Number of pages6
StatePublished - 2011
Event2011 IEEE Military Communications Conference, MILCOM 2011 - Baltimore, MD, United States
Duration: Nov 7 2011Nov 10 2011

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM


Other2011 IEEE Military Communications Conference, MILCOM 2011
Country/TerritoryUnited States
CityBaltimore, MD

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


  • Modulation classification
  • distributed detection
  • equal gain combining
  • maximal-ratio combining
  • maximum likelihood test
  • wireless sensor networks


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