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Multi-satellite missions like Cluster allow to study the fullspatio-temporal variability of plasma processes in near-Earth space,and both the frequency and the wave vector dependence of dispersionrelations can be reconstructed.  Existing wave analysis methodsinclude high-resolution beamformers like the wave telescope or<I><B>k</B></I>-filtering technique, and the phase differencing approachthat combines the correlations measured at pairs of sensors ofthe spacecraft array.  In this paper, we make use of theeigendecomposition of the cross spectral density matrixto construct a direct wave identification methodthat we choose to call the wave surveyor technique.The analysis scheme extracts only the dominant wave mode butis much faster to apply than existing techniques, hence it isexpected to ease survey-type detection of waves in large datasets.  The wave surveyor technique is demonstrated by means ofsynthetic data, and is also applied to Cluster magnetometermeasurements

The wave surveyor technique for fast plasma wave detection in multi-spacecraft data