(IVAR) - Final Report - Strategic Environmental Research and ...
(IVAR) - Final Report - Strategic Environmental Research and ...
(IVAR) - Final Report - Strategic Environmental Research and ...
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data are available in st<strong>and</strong>ard formats from digitizing systems or the RDPS itself. B-scan video<br />
data are the rawest form, which retains the received range, azimuth, <strong>and</strong> intensity information<br />
from the radar transceiver; while scan-converted video data results from data transformation to<br />
an X/Y coordinate system with intensity. Recording either B-scan video or scan-converted<br />
video data is a common capability in avian radar systems to facilitate reprocessing or reanalysis<br />
of archived data. ARTI systems use advanced compression algorithms to archive raw B-scan<br />
video data, which allows comprehensive reprocessing of the archived data with the RDPS.<br />
The (bird) target data continuously stored by the RDPS differs based on proprietary processing of<br />
each radar system. Target data can be stored in time-organized files (for easy replay/analysis<br />
capabilities), in a database format for arbitrary queries, or both. Vendor software can be used to<br />
access target data stored in files, <strong>and</strong> database management tools can be used to access target data<br />
stored in a database. Two general types of target data are stored: plot data (i.e., detections) <strong>and</strong><br />
track data (which are formed from plots). Track data are provided by most vendors <strong>and</strong> can be<br />
readily reanalyzed. ARTI also continuously stores plot data that can be reprocessed by the<br />
RDPS. For example, it can redo tracking after the fact to extract other targets of interest (e.g.,<br />
aircraft) or to re-optimize the tracking. In addition, ARTI supports reanalysis of RDPS output<br />
using a Track Viewer Workstation that can set different criteria for track display <strong>and</strong> allow<br />
definition of regions for detailed track analysis. General data management capabilities for avian<br />
radars have been defined in the recently issued FAA Airport Avian Radar Systems Advisory<br />
Circular No. 150/5220-25, which provides requirements <strong>and</strong> st<strong>and</strong>ards for data management in<br />
all avian radar systems purchased with federal funds.<br />
Data Streaming – As defined in this report, data streaming is the process of sending digital<br />
target data from where the data are generated (i.e., the avian radar) to where the data will be used<br />
(e.g., wildlife management office) or where it will be stored (a centralized historical database) in<br />
real-time. In comparison to video data, target data are low b<strong>and</strong>width <strong>and</strong> hence sending this<br />
information over 3G wireless networks, or using DSL or cable modems to send target data over<br />
the Internet is feasible. Data streaming in avian radar systems is primarily limited by vendor<br />
data management <strong>and</strong> signaling schemes data rate (or b<strong>and</strong>width requirements), <strong>and</strong> connection<br />
speed. ARTI radar systems have been shown herein to provide the full spectrum of data<br />
streaming with data integrity <strong>and</strong> real-time confirmation over st<strong>and</strong>ard commercial networks<br />
including the Internet.<br />
Data Integration <strong>and</strong> Data Fusion – Data integration <strong>and</strong> data fusion both involve combining<br />
track data from two or more radars into a single display in real time. For data integration, the<br />
radars may or may not have overlapping coverages <strong>and</strong> they may be closely or widely separated.<br />
Data integration can increase situational awareness by presenting the operator with a larger<br />
coverage area, <strong>and</strong> potentially more targets within that area, in a single display. As more radars<br />
are used to increase coverage, a single integrated display becomes a highly-desirable feature to<br />
enhance awareness for operators.<br />
Data fusion requires radars to be spaced close enough that their beams overlap for some portion of<br />
their coverages <strong>and</strong> targets within the areas of overlap are tracked simultaneously by the separate<br />
radars. Fusion can occur locally or the data from the separate radars may be streamed to a remote<br />
data fusion processor. Data fusion requires more precise spatial <strong>and</strong> temporal<br />
alignment of the radars than data integration, as well as algorithms capable of determining in<br />
real-time when tracks from the separate radars are the same target moving into <strong>and</strong> out of the<br />
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