Open AccessSpace‐time adaptive detection for bistatic MIMO system under covariance matrix persymmetry and symmetric spectrum
Author(s) -
Yan Sheng,
Hao Chengpeng,
Xu Da,
Shi Bo
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0743
Subject(s) - mimo , covariance matrix , spectrum (functional analysis) , computer science , matrix (chemical analysis) , bistatic radar , covariance , mathematics , control theory (sociology) , algorithm , physics , topology (electrical circuits) , telecommunications , statistics , combinatorics , artificial intelligence , radar , channel (broadcasting) , materials science , control (management) , quantum mechanics , radar imaging , composite material
Space‐time adaptive detection (STAD) is an important research aspect of the bistatic multiple‐input multiple‐output (MIMO) radar system. The signal and clutter space‐time models of the bistatic MIMO radar are described in this study. The knowledge‐aided (KA) transform, which utilises the structural properties of the target‐free data and the sample covariance matrix, is applied to increase the independent secondary data fourfold in the STAD frame. The performance assessment of the KA–STAD detectors with generalised likelihood ratio test (GLRT), adaptive matched filter (AMF), and Rao rules is presented. The simulation experiments show that the detection and constant false alarm rate performances of the presented KA–GLRT, KA–AMF, and KA–Rao detectors outperform the GLRT, AMF, and Rao detectors for the bistatic MIMO radar system STAD frame in clutter background with limited secondary data.