Detecting transient signals with incomplete observations

Ting He, Murtaza Zafer, Chatschik Bisdikian

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

1 Scopus citations

Abstract

The problem of detecting transient signals in noise under missing signal observations (samples) is considered. Specifically, a fusion center tries to detect the presence of a decaying signal in additive white Gaussian noise (AWGN) by collecting samples from distributed sensors through erasure channels, during which some of the samples may be lost. Under Neyman-Pearson detection, it is shown that missing samples cause performance degradation by reducing the signal energy received at the fusion center. Based on the assumption that the fusion center can control the sampling procedure through a feedback channel, an adaptive sampling policy is proposed with the goal of achieving accurate and timely detection with the minimum communication cost. The proposed policy is efficient and flexible in that it can be configured to yield a range of performance-cost combinations, where approximated closed-form solutions are derived for the configuration. Simulations show that compared with fixed-rate sampling, the proposed policy achieves significantly better tradeoff between detection performance and communication cost.

Original languageEnglish (US)
Title of host publication2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
DOIs
StatePublished - 2008
Event2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success - Washington, DC, United States
Duration: Nov 17 2008Nov 19 2008

Other

Other2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
CountryUnited States
CityWashington, DC
Period11/17/0811/19/08

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Detecting transient signals with incomplete observations'. Together they form a unique fingerprint.

  • Cite this

    He, T., Zafer, M., & Bisdikian, C. (2008). Detecting transient signals with incomplete observations. In 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success [4753247] https://doi.org/10.1109/MILCOM.2008.4753247