Covariance differencing‐based angle estimation method for bistatic multiple‐input–multiple‐output radar in unknown coloured noise. Issue 8 (16th August 2017)

• Record Type: Journal Article
• Authors: Wen, Fangqing; Zhang, Zijing; Wang, Ke; Sheng, Guanqun
• Is Part Of: Journal of engineering. Volume 2017:Issue 8(2017)
• Page Start: 466
• Page End: 468
• Publication Date: 2017-08-16
• Subjects: MIMO radar -- signal classification -- radar signal processing; numerical simulations -- reduced‐dimension MUSIC method -- bistatic multiple‐input‐multiple‐output radar -- covariance differencing‐based angle estimation method; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0164
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : 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.