Simulating false alarm probability in K-distributed sea clutter

Huei Wen Teng; Cheng Der Fuh

doi:10.1080/03610918.2020.1757707

Simulating false alarm probability in K-distributed sea clutter

Huei Wen Teng^*, Cheng Der Fuh

^*Corresponding author for this work

Department of Information Management and Finance

Research output: Contribution to journal › Article › peer-review

Abstract

Efficient and precise calculation of the probability of false alarms for the K-distributed sea clutter and noise is crucial in radar detection system. We propose efficient and optimal importance sampling algorithms, in which two importance sampling estimators are constructed for both the product form and the compound form of the underlying K distribution. Moreover, we prove the existence and uniqueness of the optimal tilting parameters. Detection accuracy and efficiency are analyzed in simulation studies.

Original language	English
Journal	Communications in Statistics: Simulation and Computation
DOIs	https://doi.org/10.1080/03610918.2020.1757707
State	Accepted/In press - 1 Jan 2020

Keywords

Constant false alarm rate
Importance sampling; Simulation

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abstract = "Efficient and precise calculation of the probability of false alarms for the K-distributed sea clutter and noise is crucial in radar detection system. We propose efficient and optimal importance sampling algorithms, in which two importance sampling estimators are constructed for both the product form and the compound form of the underlying K distribution. Moreover, we prove the existence and uniqueness of the optimal tilting parameters. Detection accuracy and efficiency are analyzed in simulation studies.",

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KW - Importance sampling; Simulation

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