Resumen

MACHADO FERNANDEZ, José Raúl; FERNANDEZ GIQUEL, Edgardo; CARLOS SANCHEZ RAMS, Roberto  y  BACALLAO VIDAL, Jesús de la Concepción. VHDL Implementation of a Clutter Averaging Processor Adapted to Statistical Changes in Weibull Clutter. Rev cuba cienc informat [online]. 2017, vol.11, n.4, pp.1-11. ISSN 2227-1899.

The cancellation of the undesired effects caused by the clutter signal is among the main problems faced by today’s radar detectors. The clutter slow statistical variations usually force the false alarm probability of the CA-CFAR detector to deviate from the design value. The authors developed an enhanced CA-CFAR which continually corrects its adjustment factor by performing estimations with the method of moments and applying mathematical expressions taken from recent studies. The solution was implemented in VHDL for its direct application in operational systems. In addition, the scheme was reproduced on MATLAB, which allowed to validate the results by comparing with the VHDL output. The new detector, called W-MoM-CA-CFAR, contributes to the development of radar detectors theory, and seeks to improve Cuban radar systems.

Palabras clave : False Alarm Probability; Method of Moments; VHDL; CA-CFAR; Radar Clutter; Weibull Distribution.

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