Simultaneous Detection and Estimation with Distributed FDA-MIMO and EPC-MIMO Radars

This paper deals with simultaneous parameter estimation and target detection in a distributed radar system consisting of Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) and Element-Pulse Coding MIMO (EPC-MIMO) radars. For each local radar station, a binary hypothesis detection problem is formulated with unknown target parameters, and detectors are developed leveraging Generalized Likelihood Ratio Test (GLRT) criterion. Under the hypothesis of target presence, the Coordinate Descent (CD) algorithm is leveraged to estimate the range and angle information of the target. Subsequently, the multiple sets of the local test statistics are fused at the Fusion Center (FC) for the ultimate decision, where the global test statistic can be constructed by taking the logarithm sum of local test statistics. At the analysis stage, the effectiveness of the devised method is evaluated in terms of Root Mean Square Error (RMSE) and Probability of Detection (P<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</inf>), where comparisons among different radar frameworks, including the distributed radar composed of traditional phased arrays, monostatic EPC-MIMO, and FDA-MIMO radars are carried out. Numerical results verify the superiorities of the proposed approach for simultaneous target detection and parameter estimation.