To detect a target (light buoy) and suppress Weibull distributed clutter, I have introduced CFAR (Constant False Alarm Rate) circuit by normalization of standard deviation. The false alarm probability does not depend on the parameters of the Weibull distribution in this CFAR circuit. To examine the effect of this CFAR circuit, I have observed sea clutter containing a light buoy using an S-band radar with a frequency of 3.05GHz, a beamwidth of 1.8°, a pulsewidth of 0.5µs, and a pulse-repetition frequency of 1,600Hz. To investigate the sea clutter amplitude statistics, I have used partial Q-Q plot, which is more rigorous fit of the distribution to the data than conventional Q-Q plot. It has been found that the sea clutter amplitudes obey the Weibull distribution with the shape parameter of c=3.50 for entire data and the Weibull and log-Weibull distributions with the shape parameters of c=2.97 to 3.77 and c=11.31 to 12.93, respectively, for data within the beam width of an antenna. The number of the best model of the Weibull and log-Weibull distributions to data is 8 and 3, respectively, from 11 small data. I have applied CFAR circuit by normalization of standard deviation to the observed data. I have succeeded in detecting light buoy and suppressed sea clutter with improvement 32.22dB by CFAR processing.
J-STAGEがリニューアルされました！ https://www.jstage.jst.go.jp/browse/-char/ja/
