access icon free Identifiability analysis for array shape self-calibration in colocated multiple-input multiple-output radar using Cramér–Rao bound

In this study, parameter identifiability in array shape self-calibration in colocated multiple-input multiple-output radar is addressed under a deterministic framework. In contrast to the random model used in the previous analysis, some distinct identifiability conditions are established through deriving and then analysing the Cramér–Rao bound on self-calibration accuracy of antenna positions using far-field targets whose directions of arrival and scattering coefficients are initially unknown. It is proved that at least three non-collinear targets are needed to precisely self-calibrate the positions of antennas of arbitrary geometry when there exist a position reference and a direction reference. The sole exception is an actually linear array for which self-calibration is impossible.

Inspec keywords: linear antenna arrays; MIMO radar; parameter estimation; radar antennas; calibration

Other keywords: parameter identifiability analysis; position reference; linear antenna array shape self-calibration; direction reference; far field target; direction of arrival; arbitrary geometry; Cramer-Rao bound; colocated multiple-input multiple-output radar; random model; scattering coefficient; MIMO radar

Subjects: Radar theory; Radar equipment, systems and applications; Antenna arrays

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2014.0228
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