The present invention relates to an
estimation method and apparatus for a direct position of a
data domain of a mobile communication
signal source. The method comprises the steps of collecting, by each observation
station, original
observation data; performing bottom layer data fusion on collected original
observation data, and generating a direct positioning model comprising position information; building, based on a
stochastic matrix asymptotic distribution theory, a cost function comprising a
noise subspace and a
signal subspace; and resolving the cost function, and outputting a final target position. By combining the original
observation data of each observation
station, thorough bottom layer fusion is performed on the received data, so as to reduce position
information loss and improve the positioning precision. A brand-new cost function comprising both the
signal subspace and the
noise subspace is built based on the
stochastic matrix asymptotic distribution theory, so that the
signal source identification capability of the direct position determination is stronger in poor
wireless communication environments such as low
signal to noise ratio and fewer samples.
Simulation experiments prove that the positioning precision is higher, and the performance is more stable.