Abstract:

A gain and phase error model of the multicarrierfrequency (MCF) MIMO radar is constructed and a method to calibrate the array error by estimating the combined gain and phase error of the equivalent array after the signal preprocessing is proposed based on the coupling characteristics of gain and phase error of the transmit and receive array. Two estimation methods, subspace fitting (SF) method and maximum likelihood (ML) method, are proposed to estimate the gain and phase error when there is a single auxiliary source at a certain position. The SF method estimates the error by the corresponding equation of the signal subspace and the subspace expanded by array manifold while the ML method obtains it by maximizing the likelihood function. The CramerRao bound(CRB) of gain and phase error estimation is derived, and the relationship between the estimation performance of these two methods and both signal to noise ratio (SNR) and snap number as well as the influence of the angle error of assistant source on the estimation performance are studied and simulated.