This article evaluates the localization accuracy of colocated multiple-input–multiple-output (MIMO) radars under receiver impairments using a generalized errors model. Specifically, the receiver's gain and phase imperfections are modeled using Rician and von Mises distributions while the antenna location errors are modeled by a Gaussian distribution. The joint estimation of the direction of arrival (DOA) and Doppler frequency is compared for several estimation methods including multiple signal classification (MUSIC), estimation of signal parameters via rotational invariance techniques (ESPRIT), and maximum likelihood estimation. In addition to array model defects, the impact of transmitted signals correlation on the considered localization algorithms is investigated. Moreover, the Fisher information matrix (FIM) and Cramer–Rao lower bound (CRLB) are derived to evaluate the asymptotic performance and quantify the impact of the receiver imperfections and signals correlation on the aforementioned estimation methods. Results show that while all methods are sensitive to receiver's impairments, the ESPRIT method is the most vulnerable and may fail completely under some operating conditions. A perfect match with corresponding simulation results demonstrates the validity of the derived expressions.
Performance Evaluation of MIMO Radars Under a Generalized Model of Array Imperfections
IEEE Transactions on Aerospace and Electronic Systems ; 59 , 6 ; 8439-8454
2023-12-01
1669004 byte
Article (Journal)
Electronic Resource
English
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