Data Compression Trade-Offs for TDOA/FDOA Geo-Location Systems
Mark L. Fowler · 2008
The research results focus on new data compression insights and methods that can enable the sharing of data for enhanced geo-location of RF emitters. The work was focused in four areas: (1) New Theoretical Results: Data compression ideas were applied to the issue of how to select and configure a set of available sensors for location processing. This proved to be a challenging task. (2) Refine & Extend Previous Results: The short-time Fourier transform (STFT) was integrated into the data compression algorithm and was shown to properly operate. (3) Integrate Into a Matlab-based Test-Bed: Matlab routines for data compression were developed and integrated into a single Matlab application. (4) General Location Studies: It was shown that there are issues in using previous results that were developed explicitly for sonar signal cases when the signal was modeled as wide-sense stationary Gaussian process. Results are provided for signal models suitable for the communication signal case.