01876nas a2200229   4500000000100000000000100001008004100002260001200043653001000055653002000065653002500085653001000110100003500120700003800155700002800193245010900221856009800330300000900428490000600437520118900443022001401632       2017                            d  c06/201710aRadar10aShape Parameter10aClutter Distribution10aChaos1 aJosé Raúl Machado-Fernández1 aJesús Concepción Bacallao-Vidal1 aShirley Torres Martinez00aCA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_4_1_pdf_69507.pdf  a7-130 v43 aOceanic and coastal radars operation is affected because the targets information is received mixed with and undesired contribution called sea clutter. Specifically, the popular CA-CFAR processor is incapable of maintaining its design false alarm probability when facing clutter with statistical variations. In opposition to the classic alternative suggesting the use of a fixed adjustment factor, the authors propose a modification of the CA- CFAR scheme where the factor is constantly corrected according on the background signal statistical changes. Mathematically translated as a variation in the shape parameter of the clutter distribution, the background signal changes were simulated through the Weibull, Log-Normal and K distributions, deriving expressions which allow choosing an appropriate factor for each possible statistical state. The investigation contributes to the improvement of radar detection by suggesting the application of an adaptive scheme which assumes the clutter shape parameter is known a priori. The offered mathematical expressions are valid for three false alarm probabilities and several windows sizes, covering also a wide range of clutter conditions.  a1989-1660