Passive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection. As a result, a satellite signal receiver may receive signals from multiple heterogeneous satellites, causing difficult in echo signal detection. In this paper, a passive moving aerial target detection method leveraging signals from multiple heterogeneous satellites is proposed. In the proposed method, a plurality of direct wave signals is separated in a reference channel first. Then, an adaptive filter with normalized least-mean-square (NLMS) is adopted to suppress direct-path interference (DPI) and multi-path interference (MPI) in a surveillance channel. Next, the maximum values of the cross ambiguity function (CAF) and the fourth order cyclic cumulants cross ambiguity function (FOCCCAF) correspond into each separated direct wave signal and echo signal will be utilized as the detection statistic of each distributed sensor. Finally, final detection probabilities are calculated by decision fusion based on results from distributed sensors. To evaluate the performance of the proposed method, extensive simulation studies are conducted. The corresponding simulation results show that the proposed fusion detection method can significantly improve the reliability of moving aerial target detection using multiple heterogeneous satellites. Moveover, we also show that the proposed detection method is able to significantly improve the detection performance by using multiple collaborative heterogeneous satellites.

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In view of the problem that the information transfer based on unstructured documents and non-dynamic BOM results in the limited efficiency and precision of spacecraft assembly configuration management, a dynamic EBOM construction technology based on MBD model is proposed. By adding assembly Configuration attributes to MBD model, it can cover the data requirements of spacecraft assembly process. The EBOM is constructed by extracting Assembly structure tree, product and configuration attributes of MBD assembly model. The dynamic EBOM is constructed by changing the value of the attributes describing the assembly Configurationin the EBOM. On this basis, through the comparison between the EBOM and the implementation BOM, the Configuration of spacecraft assembly is quantitatively controlled.

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