Open AccessDimension‐reduced bi‐iterative space–time adaptive processing method for airborne radar
Author(s) -
Wang Yuxiang,
Li Xiaoming,
Gao Wei
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0718
Subject(s) - clutter , dimension (graph theory) , space time adaptive processing , computer science , computation , radar , algorithm , adaptive filter , iterative method , convergence (economics) , sampling (signal processing) , filter (signal processing) , mathematical optimization , mathematics , continuous wave radar , computer vision , radar imaging , telecommunications , pure mathematics , economics , economic growth
A novel bi‐iterative dimension‐reduced space–time adaptive processing (STAP) algorithm for clutter suppression and moving target detection in airborne radar system is proposed. A dimension‐reduced processing in both space and time is firstly performed. Then a bi‐quadratic cost function is constructed to estimate the dimension‐reduced spatiotemporal filter coefficients, which are used for suppressing the clutter and keeping the target signal. An optimal solution to the cost function can be obtained efficiently by a bi‐iteration algorithm. Theoretical analysis and computer simulation results illustrate that the algorithm has fast convergence, low computation load and sampling requirements. The results of experiment by using the measured data show the validity of the proposed algorithm.