Abstract
Distributed CFAR detector based on unquantized local test statistic (LTS) is considered. LTSs are provided by local processors (LP) and transmitted to the fusion center (FC) where they are fused to generate global decision. Two types of schemes called S and P types are proposed. For local OS-CFAR processing, three schemes are analyzed, i.e. OS-S-CA, MOS and mOS. Samples in different sensors are assumed to be independent and identically distributed. For a two-sensor network, some explicit expressions for probabilities of false alarm and detection of a Swerling II target in Gaussian noise are derived. With the consideration of both detection performance and the amount of data transmitted between LP and FC, OS-S-CA is the best, and the MOS little inferior.
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