Extending Gandhi’s OS-CFAR detection probability formula to cases of target-like interference and multiple pulse integration

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Authors
  1. Chiu, S.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
This work is carried out as a result of Royal Canadian Air Force’s requirement to deploy a modeling tool for evaluation and prediction of wind turbine interference to its legacy AN/FPN-504 and recently acquired Cassidian/Airbus ASR NG radars. This Scientific Letter describes the modeling of a sub-component of the Radar Obstruction Evaluation Model/Simulator (ROEMS), namely, the ordered-statistic constant false alarm rate (OS-CFAR) detector. The OS-CFAR detector model is based on Gandhi and Kassam’s (GK’s) closed-form analytical formula [1] originally derived for predicting OS-CFAR detection probability under a homogeneous noise background. In this Letter, the formula is extended to target-like interference in the detector’s CFAR reference window and to cases of coherently and non-coherently integrated pulse for improved signal-to-noise ratios (SNR). The approach assumes that wind turbine interference can be approximated by target-like interference. This is validated for the cell-averaging CFAR (CA-CFAR) detector in [2], where it is shown that the target-like interference model yields the worst-case scenario for the wind turbine interference.
Keywords
Cell-Averaging Constant False Alarm Rate;CA-CFAR;detector;modeling
Report Number
DRDC-RDDC-2015-L398 — Scientific Letter
Date of publication
10 Oct 2015
Number of Pages
15
DSTKIM No
CA041521
CANDIS No
802679
Format(s):
Electronic Document(PDF)

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