Detection of signals modeled by interaction point processes using a Poisson approximation

Majeed M. Hayat; John A. Gubner; Wei-Bin Chang

doi:10.1117/12.280881

22 July 1997 Detection of signals modeled by interaction point processes using a Poisson approximation

Majeed M. Hayat, John A. Gubner, Wei-Bin Chang

Proceedings Volume 3079, Detection and Remediation Technologies for Mines and Minelike Targets II; (1997) https://doi.org/10.1117/12.280881
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

The performance of the likelihood ratio test is considered for point processes with piecewise constant interaction functions, and point processes featuring a reduced number of isolated-points. A Poisson approximation of the sufficient statistics is used to evaluate the performance. The approximations are compared with empirical results generated using Markov chain Monte Carlo simulation.

Citation Download Citation

Majeed M. Hayat, John A. Gubner, and Wei-Bin Chang "Detection of signals modeled by interaction point processes using a Poisson approximation", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280881

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