Robust motion parameter estimation in multistatic passive radar

Abstract

In this paper, we develop a new algorithm for motion parameter estimation of moving targets in a multistatic passive radar. Existing methods for motion parameter estimation rely on the estimated Doppler signatures of the observed signals corresponding to each transmitter. These techniques may fail for weak signals where the individual Doppler signature cannot be properly estimated. The focus of this paper is on motion parameter estimation from weak signals observed using multiple illuminators. Utilizing the sparsity of the motion parameters, the proposed technique obtains robust motion parameter estimates through the fusion of the data corresponding to all available illuminators, achieving signal enhancement and multistatic diversity. To reduce the computational cost, the acceleration and velocity parameters are decoupled and sequentially estimated.