LAUSR

The target motion analysis (TMA) based on multiple hybrid sensors is currently performed with a batch algorithm, which is generally memory-demanding for online applications. This article proposes a recursive estimator for the batch counterpart with sequential calculation for multistatic TMA using hybrid measurements of the angle of arrival, time difference of arrival, and frequency difference of arrival. To be specific, a bias-compensated instrumental variable (IV)-based recursive estimator is derived, for which a weighted pseudolinear estimator with fusion policy (WPLE-F) is given to construct the IV and provide the initial state. The proposed method requires no additional batch estimator for initialization and, hence, is more convenient for applications. Simulations have shown that the proposed estimator achieves a mean-squared-error performance close to the Cramér–Rao lower bound and outperforms the existing batch estimator.