Multi-rate superresolution time series spectrum analyzer

Details Multi-rate superresolution time series spectrum analyzer Multi-rate superresolution time series spectrum analyzer

1991-02-19

1992-06-16

Wieder, Kenneth A.

Electricity: measuring and testing

Measuring, testing, or sensing electricity, per se

Analysis of complex waves

324 77G, 324 78F, 324 78D, 32472410, 342 14, 342 20, 342 16, G06F 1531

Patent

active

051227320

ABSTRACT:
Parallel architectures preprocesses large matrices from sampled coherent time apertures receiving signals from distant sources to produce lower order matrices, derived from pseudo coherent time apertures, which are computationally less burdensome. The large matrices are processed by frequency shifting, low pass filtering with an FIR filter, and executing front-end decimation to create the pseudo coherent time apertures, each corresponding to different subbands of the temporal frequency spectrum. The signals representing the pseudo coherent time apertures are processed using matrix based superresolution spectral estimation algorithms such as the Tufts-Kumaresan (T-K) reduced rank modified covariance algorithm and the Linear Minimum Free Energy algorithms to produce an image of the sources.

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