Open AccessSpace–time adaptive processing by enforcing sparse constraint on beam‐Doppler patterns
Author(s) -
Yang Zhaocheng
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.1748
Subject(s) - doppler effect , constraint (computer aided design) , computer science , beam (structure) , space (punctuation) , electronic engineering , algorithm , mathematics , physics , engineering , optics , geometry , astronomy , operating system
In this Letter, the author proposes a novel space–time adaptive processing (STAP) algorithm by enforcing sparse constraint on the beam‐Doppler patterns for clutter mitigation when the number of training data is limited. By exploiting the sparsity of the beam‐Doppler patterns of the STAP filter, the proposed algorithm formulates the filter design as a mixed l 2 ‐norm and l 1 ‐norm minimisation problem. Moreover, the proposed algorithm develops an adaptive approach to update the regularisation parameter. Simulation results illustrate that the proposed algorithm outperforms the traditional STAP algorithms in a limited sample support.