A Hybrid Bp-Vmp-Ep Localization Algorithm For Passive Mimo Radar Networks

A passive multiple-input multiple-output (MIMO) radar (PMR) network is an efficient system to detect and track targets, which consists of multiple distributed receivers and illuminators of opportunity. Conventional two-step localization first estimates the distance based on signal time delay measurements, then the location is obtained by using least square or maximum likelihood estimator. Recently, several works show that through direct localization, performance can be significantly improved. For a better balance between accuracy and complexity, in this paper, we propose a hybrid message passing localization algorithm. Derived from a Bayesian inference framework, the proposed method can be regarded as an iterative version of two-step methods. Simulations show that the proposed algorithm outperforms conventional two-step localization, and provides a trade-off between position accuracy, communication overhead and computational costs.