| 內容/備註 |
This talk describes my joint work with engineers at US Air Force Research Laboratory, Radar Signal Processing Branch. The problem involves a statistical signal detection procedure, which assumes homogeneous covariance matrix for all the secondary data. We deal with inhomogeneity by a partitioning procedure, which screens out dissimilar secondary data prior to any detection. The partitioning statistic and its distribution will be used to derive P(CP), the probability of a correct partition. The procedure parameters can be found from P(CP) and be used to perform simulation studies and in data analysis. Simulation results and data analysis on US Air Force Multi-Channel Airborne Radar Measurement (MCARM) collected by Westinghouse (now Northrop Grumman) will be presented to illustrate our theory. |