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The Design of Telemetry Noise Data Lossless Compression Equipment Based on DSP

Author: ZhanJianHua
Tutor: QinLi；LiuWenZuo
School: University of North
Course: Circuits and Systems
Keywords: telemetry noise dat lossless compression ARC
CLC: TN911.7
Type: Master's thesis
Year: 2012
Downloads: 37
Quote: 0
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Abstract


At present, fast -changing parameters usually takes up 80 percent of the total quantity inthe domestic telemetry system. According to general statistics, there are more than 95% oftransmitted data are redundant in standard telemetry system. In principle, only the existing 5%of the telemetry system signal space will can store and transmit all the telemetry parameters.On the premise of non-changing the current telemetry model, it will be the most economicaland most effective solution to adopt the technology of lossless compression for fast-changingdata. The study is to reduce the fast-changed data quantity based on the development of thetelemetry noise data compressor, and then more channels and parameters could be added inthe limited telemetry bandwidth to improve bandwidth utilization.Firstly, in view of the application of lossless compression in telemetry systems, aprogram of real-time lossless compression of telemetry noise data based on DSP+FPGAarchitecture has been proposed. Secondly, the nature of compression and the criteria ofalgorithm evaluation have been studied by introducing the concept of information entropybased on the theory of Shannon information to select the most suitable lossless compressionalgorithm . Arithmetic coding(ARC) is used to deal with the telemetry noise data based on thePC simulation with Arithmetic coding(ARC) and dictionary coding (LZW) compression. Atlast a hardware platform based on TMS320C6416 DSP and XC3S200AN FPGA has beendesigned. Each unit of hardware also has been analysed detailedly. In the aspects of systemprogram design, the ARC algorithm has been ported and optimized in DSP. The technologyof 2048B data packet length and first order difference algorithm have been adopted toimprove the compression performance of the system.Finally, lots of noise data have been tested on the equipment. The average compressdecreased rate can reach 60% -98%, when the equipment is applied to synchronousacquisition of 4-channel noise data with 27KHz sampling rate. Each performance indicatormeets all the design requirements.

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