Open AccessCoherent angle estimation in bistatic multi‐input multi‐output radar using parallel profile with linear dependencies decomposition
Author(s) -
Chen Chen,
Zhang Xiaofei,
Ben De
Publication year - 2013
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/iet-rsn.2012.0188
Subject(s) - rotational invariance , smoothing , algorithm , mimo , bistatic radar , computer science , radar , signal (programming language) , matrix decomposition , matrix (chemical analysis) , mathematics , radar imaging , physics , computer vision , channel (broadcasting) , telecommunications , eigenvalues and eigenvectors , materials science , quantum mechanics , composite material , programming language
This study investigates the topic of coherent angle estimation in bistatic multi‐input multi‐output (MIMO) radar, and derives a scheme for coherent angle estimation by exploiting a parallel profile with linear dependencies (PARALIND) decomposition. The receive data can be mapped to a PARALIND model, after which the estimations of transmit/receive directional matrices and the correlated matrix of the sources are all obtained through PARALIND decomposition. Finally, the estimates of direction of departures and direction of arrivals can be obtained by least‐square principle. In contrast to the forward–backward spatial smoothing‐propagator (FBSS) method and FBSS‐estimation method of signal parameters via rotational invariance techniques algorithms, the proposed method not only reaches paired estimates of the angles automatically but also has much better performance for angle estimation. On the other hand, our algorithm can be used for angle estimation in non‐uniform linear transmit/receive array. Simulations present the effectiveness of our approach.