A HYBRID D{sup}3-SIGMA DELTA STAP ALGORITHM IN NON-HOMOGENEOUS CLUTTER

摘要

This paper presents a knowledge based hybrid algorithm using Sigma-Delta STAP which is practical and powerful in non-homogeneous environments. In the hybrid algorithm, statistical and non-statistical direct data domain (D{sup}3) algorithms are combined to obtain the advantages of both approaches. In this paper a new revised D{sup}3 algorithm which uses a maximum SINR strategy is presented. The residual interference after the D{sup}3 process is further suppressed by the efficient ΣΔ STAP algorithm. The performance of the hybrid algorithm using D{sup}3 - ΣΔ^sSTAP is tested in SIRV clutter environment and compared to that of the method which employs JDL as a statistical algorithm.