Open AccessCovariance differencing‐based angle estimation method for bistatic multiple‐input–multiple‐output radar in unknown coloured noise
Author(s) -
Wen Fangqing,
Zhang Zijing,
Wang Ke,
Sheng Guanqun
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0164
Subject(s) - covariance , bistatic radar , computer science , subspace topology , noise (video) , dimension (graph theory) , algorithm , radar , signal subspace , mathematics , artificial intelligence , radar imaging , telecommunications , statistics , image (mathematics) , pure mathematics
A new angle estimation method is developed for bistatic multiple‐input–multiple‐output radar in the presence of unknown coloured noise. By utilising covariance differencing, the proposed method can eliminate influence of coloured noise effectively. Then, the angles are determined from the subspace estimate with the help of reduced‐dimension multiple signal classification (MUSIC) method. The proposed method does not incur virtual aperture loss, and it is suitable for arbitrary array manifold. Numerical simulations verify the effectiveness of the authors’ method.