Multi-target Passive Localization Based on Dual Station Joint MUSIC Algorithm

In passive positioning, dual-aircraft co-localization methods based on angle information have some advantages of less parameters, higher precision and better flexibility than conventional methods. However, in the battlefield with density increasing radiation sources, matching errors and positioning blur always occurs while signal matching and equation combining to solve the final positioning of multiple targets. In this paper, a dual-station joint MUSIC angle estimation algorithm is proposed. Then a dimensionality reduction projection algorithm is exploited to reduce the computation of spectral function calculation and spectrum peak searching. Finally, the direction-finding line matching results of same targets are directly achieved, based on which location results with higher angle measurement accuracy can be obtained. In the positioning solution, the target position is solved by the ordinary least squares method. Simulation results show that the proposed algorithm has higher positioning accuracy than match-AOA methods for slow multiple targets.