Open AccessHybrid STAP approach of direct data domain algorithm and adaptive localised domain transformation for discrete interference suppression in non‐homogeneous clutter
Author(s) -
Yang Xiaopeng,
Sun Yuze,
Liu Yongxu,
Long Teng
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.1680
Subject(s) - clutter , space time adaptive processing , weighting , radar , algorithm , interference (communication) , transformation matrix , transformation (genetics) , computer science , residual , adaptive filter , frequency domain , domain (mathematical analysis) , pulse doppler radar , control theory (sociology) , mathematics , artificial intelligence , radar imaging , computer vision , telecommunications , acoustics , physics , channel (broadcasting) , chemistry , biochemistry , control (management) , kinematics , classical mechanics , gene , mathematical analysis
A hybrid space–time adaptive processing (STAP) approach of the direct data domain (DDD) algorithm and adaptive localised domain transformation is proposed for discrete interference suppression in non‐homogeneous clutter which is inevitable in actual airborne radar applications. In the proposed method, the adaptive localised domain transformation matrix is firstly formed by the DDD weighting vectors in angle‐Doppler directions to suppress discrete interference. Afterwards, the adaptive localised domain transformation matrix is applied to the conventional STAP method to suppress the residual clutter. The proposed method is verified based on the actual airborne radar data.