Title :
Analysis of CA-CFAR processors for linear-law detection
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fDate :
7/1/1992 12:00:00 AM
Abstract :
A method for evaluating the performance of cell-averaging constant false alarm rate (CA-CFAR) processors which use the amplitude of echo signals rather than their squared amplitude is presented. Results for the case of Rayleigh clutter/noise statistics are given. Detection probabilities are evaluated for the case of a Rayleigh fluctuating target embedded in Rayleigh clutter/noise for linear-law CA-CFAR processors. These results are observed to be practically identical to those of square-law CA-CFAR processors for which analytical expressions are readily available. These observations are verified using Monte Carlo simulations. The same conclusion is reached in the case of a nonfluctuating target embedded in Rayleigh clutter/noise for which only simulation results are presented
Keywords :
Monte Carlo methods; probability; radar clutter; radar theory; signal detection; CA-CFAR processors; Monte Carlo simulations; Rayleigh clutter/noise statistics; Rayleigh fluctuating target; cell-averaging constant false alarm rate; detection probability; echo signals; linear-law detection; nonfluctuating target; Computational modeling; Detectors; Noise level; Performance analysis; Probability; Random variables; Signal analysis; Signal processing; Statistical analysis; Statistics; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
