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Title: Rapid prototyping for radio-frequency geolocation applications

Abstract

Previous space-to-ground, single-platform geolocation experiments exploiting time-difference-of arrival (TDOA) via interferometry were successful at separating and quantitatively characterizing interfering radio frequency (RF) signals from expected RF transmissions. Much of the success of these experiments rested on the use of embedded processors to perform the required signal processing. The experiments handled data in a 'snapshot' fashion: digitized data was collected, the data was processed via a digital signal processing (DSP) microprocessor to yield differential phase measurements, and these measurements were transmitted to the Earth for geolocation processing. With the utilization of FPGAs (field programmable gate arrays) for the intensive number-crunching algorithms, the processing of streaming real-time data is feasible for bandwidths on the order of 20 MHz. By partitioning the signal processing algorithm so there is a significant reduction in the data rate as data flows through the FPGA, a DSP microprocessor can now be employed to perform further decision-oriented processing on the FPGA output. This hybrid architecture, employing both FPGAs and DSPs, typically requires an expensive and lengthy development cycle. However, the use of graphical development environments with auto-code generation and hardware-in-the-loop testing can result in rapid prototyping for geolocation experiments, which enables adaptation to emerging signals of interest inmore » a cost and time effective manner.« less

Authors:
 [1];  [2];  [3];  [4];  [5]
  1. Scott C.
  2. Joseph L.
  3. Thomas R.
  4. Dakx
  5. Etienne
Publication Date:
Research Org.:
Los Alamos National Laboratory
Sponsoring Org.:
USDOE
OSTI Identifier:
977815
Report Number(s):
LA-UR-04-5787
TRN: US201012%%548
Resource Type:
Conference
Resource Relation:
Conference: Submitted to 2004 Global Signal Processing Expo and Conference, Santa Clara, CA, September 27-30, 2004
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; INTERFEROMETRY; RF SYSTEMS; SIGNAL CONDITIONING; TRANSISTORS; DATA TRANSMISSION; POSITIONING

Citation Formats

Briles, S C, Arrowood, J L, Braun, T R, Turcotte, D, and Fiset, E. Rapid prototyping for radio-frequency geolocation applications. United States: N. p., 2004. Web.
Briles, S C, Arrowood, J L, Braun, T R, Turcotte, D, & Fiset, E. Rapid prototyping for radio-frequency geolocation applications. United States.
Briles, S C, Arrowood, J L, Braun, T R, Turcotte, D, and Fiset, E. Thu . "Rapid prototyping for radio-frequency geolocation applications". United States. https://www.osti.gov/servlets/purl/977815.
@article{osti_977815,
title = {Rapid prototyping for radio-frequency geolocation applications},
author = {Briles, S C and Arrowood, J L and Braun, T R and Turcotte, D and Fiset, E},
abstractNote = {Previous space-to-ground, single-platform geolocation experiments exploiting time-difference-of arrival (TDOA) via interferometry were successful at separating and quantitatively characterizing interfering radio frequency (RF) signals from expected RF transmissions. Much of the success of these experiments rested on the use of embedded processors to perform the required signal processing. The experiments handled data in a 'snapshot' fashion: digitized data was collected, the data was processed via a digital signal processing (DSP) microprocessor to yield differential phase measurements, and these measurements were transmitted to the Earth for geolocation processing. With the utilization of FPGAs (field programmable gate arrays) for the intensive number-crunching algorithms, the processing of streaming real-time data is feasible for bandwidths on the order of 20 MHz. By partitioning the signal processing algorithm so there is a significant reduction in the data rate as data flows through the FPGA, a DSP microprocessor can now be employed to perform further decision-oriented processing on the FPGA output. This hybrid architecture, employing both FPGAs and DSPs, typically requires an expensive and lengthy development cycle. However, the use of graphical development environments with auto-code generation and hardware-in-the-loop testing can result in rapid prototyping for geolocation experiments, which enables adaptation to emerging signals of interest in a cost and time effective manner.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {1}
}

Conference:
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