An investigation on number of signals whose directions-of-arrival are uniquely determinable with an electromagnetic vector sensor
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Cited by (42)
A coarray processing technique for nested vector-sensor arrays with improved resolution capabilities
2022, Digital Signal Processing: A Review JournalCitation Excerpt :Compared to the classic scalar sensor arrays, prominent features including multicomponent observations, polarization diversity and physical compactness of EMVSs have attracted considerable interest in the literature. The Cramér-Rao bound (CRB) analysis, performance measures and identifiability capabilities of vector-sensor arrays have been reported in [1–5]. In the context of direction of arrival (DOA) estimation, the classic subspace methods, e.g., MUSIC and ESPRIT, have been previously developed for vector-sensor arrays in [6–10].
Coherent sources direction finding and polarization estimation with various compositions of spatially spread polarized antenna arrays
2014, Signal ProcessingCitation Excerpt :In order to overcome the above problem, sparse arrays are proposed in this work to bridge the gap in the literature. Another important research direction is the identifiability of these polarized antenna arrays [52–57], which investigates the linear dependence of steering vectors of these antenna arrays. For the bi-sparse arrays proposed in this paper, the identifiability is under development.
Study of the asymptotic Cramér-Rao Bound for the COLD uniform linear array
2012, Physical CommunicationCitation Excerpt :In [12], a MUSIC algorithm based on the Higher-Order Statistics is presented, and in [13,14] hypercomplex algebra is used to deal with vector sensor array data. Identifiability and uniqueness issues associated with the considered model are analyzed in [15–17]. The resolution limit has been derived and analyzed in Ref. [18].
On parameter identifiability of MIMO radar with waveform diversity
2011, Signal ProcessingCitation Excerpt :A basic signal processing issue in radar systems is the parameter identifiability problem, which is to determine the maximum number of targets that can be unambiguously identified. This problem has been fairly well investigated for phased-array radar [8–10]. In particular, conditions for parameter identifiability of a uniform linear array (ULA) were studied in [8].
Computationally efficient 2D direction finding and polarization estimation with arbitrarily spaced electromagnetic vector sensors at unknown locations using the propagator method
2009, Digital Signal Processing: A Review JournalFrequency and 2D angle estimation based on a sparse uniform array of electromagnetic vector sensors
2006, Eurasip Journal on Applied Signal Processing