Moving Horizon SINR Estimation for Wireless Networked Systems

This paper is concerned with the signal to interference and noise ratio (SINR) estimation for wireless networks with SINR constraints and packet losses. A new SINR estimation method is proposed by using moving horizon estimation (MHE), where the SINR estimation system is described as a stochastic parameter system model. By choosing a stochastic cost function, the SINR estimator is obtained by solving a regularized least-squares problem. Considering the coupling of state variable and process noise, a one-step MHE algorithm is presented to solve the constrained SINR optimization problem by using LOQO algorithm. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method.