Tensor-Based Target Parameter Estimation Algorithm for FDA-MIMO Radar with Array Gain-Phase Error

As a new radar system, FDA-MIMO has recently developed rapidly, as it broad prospects in angle-range estimation. Unfortunately, the performance of existing algorithms for is greatly degrading or even failing under condition array gain-phase error. This paper proposes an innovative solution to joint angle and range estimation error algorithm developed. Moreover, corresponding Cramér-Rao bound (CRB) derived evaluate algorithm. The parallel factor (PARAFAC) decomposition technique can be utilized calculate transmitter receiver direction matrices. Taking advantage matrix, obtained. estimated by matrix To eliminate accumulation effect error, gain phase are obtained separately. In this algorithm, impact on parameter removed so effect. Therefore, proposed provide excellent Numerical experiments prove validity advantages method.