Study on adaptive monopulse with reduced dimension STAP technique

For airborne radar, the estimation performance of moving target parameters is greatly affected by the residuals of ground clutter after space-time adaptive processing (STAP). The non-homogeneity of environment, which results in the lack of available secondary data, will make this problem worse. In this paper, a novel method, which utilizes small amount of secondary data, is proposed for getting more accurate estimation under non-homogenous environment. In this method, the spatial and temporal dimensions are reduced properly for the benefit of low secondary data support and exact clutter covariance matrix estimation; additionally, by combining a STAP processor with monopulse technique, target parameters will be obtained. The simulation results are shown this method is more accurate and adaptable than the previous adaptive monopulse with STAP method under the non-homogeneous environment.