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Optimizing bandwidth utilization in packet based telemetry systems

Description: A consistent theme in spacecraft telemetry system design is the desire to obtain maximum bandwidth utilization given a fixed transmission capability (usually due to cost/weight criteria). Extensions to basic packetization telemetry architectures are discussed which can facilitate a reduction in the amount of actual data telemetered, without loss of data quality. Central to the extensions are the establishment of an ``intelligent`` telemetry process, which can evaluate pending data to be telemetered, and act to compress, discard, or re-formulate data before actual transmission to ground stations.
Date: October 17, 1995
Creator: Kalibjian, J.R.
Partner: UNT Libraries Government Documents Department

Group telemetry analysis using the World Wide Web

Description: Today it is not uncommon to have large contractor teams involved in the design and deployment of even small satellite systems. The larger (and more geographically remote) the team members, the more difficult it becomes to efficiently manage the disbursement of telemetry data for evaluation and analysis. Further complications are introduced if some of the telemetry data is sensitive. An application is described which can facilitate telemetry data sharing utilizing the National Information Infrastructure (Internet).
Date: December 31, 1996
Creator: Kalibjian, J.
Partner: UNT Libraries Government Documents Department

Recovery of telemetered data by vertical merging algorithms

Description: One of the requirements for Brilliant Pebbles Flight Experiment Three (FE-3) was to develop a telemetry architecture providing robust data recovery if downlink problems were encountered. A long standing problem in telemetry applications is the recovery of data which has been damaged during downlink. Data recovery can be significantly improved by telemetering information in a packet format which employs redundant mechanisms for data encapsulation. A simple statistical algorithm (known as a ``merge`` algorithm) can be run on the captured data to derive a ``least damaged`` data set.
Date: October 1, 1994
Creator: Hoag, J.E.; Kalibjian, J.R.; Shih, D. & Toy, E.J.
Partner: UNT Libraries Government Documents Department