Open AccessGeneralised RAO test for polarimetric target detection
Author(s) -
Shen Lei,
Liu Zhiwen,
Xu Yougen
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0366
Subject(s) - detector , polarimetry , computer science , matched filter , subspace topology , signal (programming language) , detection theory , algorithm , artificial intelligence , physics , optics , telecommunications , scattering , programming language
Here, a generalised Rao test method is presented for polarimetric multichannel adaptive signal detection. By introducing several tunable parameters into the Rao test detection statistics, the proposed polarimetric detector is quite general with the modified Rao test detector, the adaptive‐matched filter detector, and the adaptive subspace detector being its special cases. The performance of the proposed polarimetric detector has been demonstrated with synthetic and real data. The results show that the new detector provides more flexibility of being adjustable than the current modified Rao test detector, against target steering vector mismatch.