ESM-radar track correlation algorithms based on maximum likelihood estimation
Liang Juan · Electronics Optics & Control · 2007
In order to solve the problem of ESMradar track correlation,by using the rule of maximum likelihood estimation based on statistical signal analysis theory,the track correlation discriminant function is presented for the condition that the azimuth measurements of ESM and radar have the equal prior probability.The expressions of probability of falsely associated ESM-radar track is also presented with the same number measurements.The conclusion is that the probability of ESM-radar track false association can be decrease by 1) decreasing the ratio of azimuth measurement error of radar with that of ESM,and 2) increasing measurement times.