Multiple signal detection based on spatial-frequency adaptive processing using fast subspace decomposition method

As the positioning accuracy of GNSS systems will degrade in the presence of electromagnetic interference, jamming detection becomes pivotal part in high-precision wireless communication systems which is conventionally accomplished by energy statistics or time-frequency transformation. In this paper, we present the spatial-frequency adaptive processing (SFAP) method which will achieve highly detecting resolution through the distribution of eigenvalues in frequency domain, and compared to the conventional methods the SFAP can accurately detect the bandwidth of multiple signals. The application of fast subspace decomposition (FSD) using Lanczos algorithm iteratively implements the eigenvalue-decomposition with lower complexity while the source enumeration is estimated simultaneously. Moreover, the proposed method still works well even in the presence of weaker clutter or stochastic errors. Computer simulation results confirm the robustness of the detecting method.