Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing

Zhi Guo Zhang; Lei  Gong

doi:10.4028/www.scientific.net/AMR.846-847.1176

Paper Titles

Vanishing Point Detection Algorithm Based on Clustering Method
p.1157

3D Object’s Pose Estimation Based on Colored Markers Information
p.1162

Key Technology Discussion on Surveying and Mapping 1:1000 Photogrammetric Digital Topographic Map of Laicheng Industrial Zone in Laiwu City
p.1166

Modified Propagator Method for 2-Dimensional DOA Estimation in Monostatic MIMO Radar with L-Shaped Array
p.1171

Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing
p.1176

The Study on Bayesian Network-Based IETM Information Retrieval Technology
p.1180

An Improved Acquisition Method for High-Order BOC-Modulated Signals Based on Fractal Geometry
p.1185

Parallel Niche Genetic Algorithm for UAV Fleet Stealth Coverage 3D Corridors Real-Time Planning
p.1189

A New Central Angle Estimation Method of Bistatic MIMO Radar
p.1197

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Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing

Abstract:

Telemetry data frame structure is complicated and changeable, so telemetry pre-processing software cannot be universal. To solve this problem, a component method was proposed in this paper, which can effectively compensate for the deficiencies of the traditional method. XML files were employed to configure telemetry parameters, including the information of appropriate processing method for data processing. Based-on memory-mapped telemetry source data extraction can greatly improve source extraction speed, and data integrity is guaranteed by sub-frame data fusion. Subsequent telemetry software developing shows that the method can improve the reusability of pre-processing module and shorten the system development time.