Direct Position Determination Using Asynchronous Observations of Multiple Moving Sensors

A Direct Position Determination (DPD) algorithm based on spatial spectrum analysis for the issue of asynchronous observation in the multiple moving sensors passive fusion location system is proposed. At first, a direct determination mathematical model of the asynchronous scene is constructed and a multiple sensors cooperative spatial spectrum function is composed. Furthermore, the position of the emitter can be got by a two or three dimensional search, and then the derivations of the estimators' variance and the Cramer-Rao Lower Bound (CRLB) are given. Finally, the Monte Carlo simulations over the asynchronous scene indicate that the accuracy of the proposed method is close to the Cramer-Rao lower bound and superior to the two-step location method based on the location parameters, especially in the low SNR.