Data Compression Trade-Offs for TDOA/FDOA Geo-Location Systems

摘要

The research results focus on new data compression insights and methods that can enable the sharing of data for enhanced geolocation of RF emitters. The work was focused in four areas: (1) 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) The short- time Fourier transform (STFT) was integrated into the data compression algorithm and was shown to properly operate. (3) Matlab routines for data compression were developed and integrated into a single Matlab application. (4) 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.