Research on Real-Time Fusion Technology of Range Telemetry Data

Approach	Problem	Literature number
FA	Frame count errors have a greater impact	[21]
FA	Cumulative misalignment	[8]
TCMA	The transmission delay of the master station is not considered	[21]
ECA	S-frame time code delay calculation is not resolved	[14]
ECA	Depends on device index value	[2]

TABLE III.

Literature correspondence alignment algorithm analysis

Approach	Problem	Literature number
P-FA	The problem of matching the frame data and the frame count when the frame is lost is not solved	[13]
P-FA	Large amount of calculation, not easy to promote	[19]
P-TCMA	The number of data positions is wrong when the frame is dropped	[18]
P-TCMA	Data transmission delay is not considered	[12]
P-ECA	Depends on device index value	[16]
	Frame count error has not been resolved	[10]
	No consideration of transmission delay	[4]
	Large amount of calculation, not easy to promote	[3]

TABLE IV.

Literature Corresponding QEA Analysis

Approach	Problem	Literature number
FF-QEA	The system overhead is large, and when the amount of data increases, the information is too late to process.	[14]
FF-QEA	Accurate quality evaluation when errors occur in unresolved frame counts	[8]
SF-QEA	Increased algorithm time complexity	[2]

TABLE V.

Literature correspondence algorithm analysis table

Approach	Problem	Literature number
PSF-QEA	Data error does not affect the frame length, causing quality misjudgment.	[18]
PSF-QEA	To solve the judgment error caused by dropped frames	[6]
PFF-QEA	Unsolved the problem of different comparison results caused by dropped frames and errors	[20]
	The assessment basis is relatively simple	[10]
	Not given due to frame loss	[3]
	Data preprocessing requirements are high, and the incomplete F-frame data is discarded, which is not conducive to the full use of data.	[5]
PSF-QEA	The calculation is cumbersome and not easy to promote	[11]
PSF-QEA	Cluster center radius is not easy to choose	[6]

表 1

累积错误对齐过程表

帧序号	测站 A	测站 B	融合结果	正确
1	28586	65530	28586	65530
2	65531	65467	65467	65531
3	65532	65356	65356	65532
4	65523	65533	65523	65533

表 2

实时对齐算法统计表

处理方法	问题	文献编号
实时标志位对齐	帧计数误码影响较大	[21]
实时标志位对齐	累积错误	[8]
实时时码匹配对齐
实时时码匹配对齐	未考虑主站传输时延	[21]
实时误差控制对齐	子帧时码延时计算未解决	[14]
实时误差控制对齐	依赖设备指标值	[2]

表 3

事后对齐算法统计表

处理方法	问题	文献编号
事后标志位对齐	未解决丢帧时的帧数据与帧计数的匹配问题	[13]
事后标志位对齐	计算量大，不易于推广	[19]
事后时码匹配对齐	丢帧时数据位置数出错	[18]
事后时码匹配对齐	未考虑数据传输时延	[12]
事后误差控制对齐	依赖设备指标值	[16]
	帧计数误码尚未解决	[10]
	未考虑传输时延	[4]
	计算量较大，不易于推广	[3]

表 4

实时选优算法统计表

处理方法	问题	文献编号
基于全帧的实时质量评估算法	系统开销大，数据量增大时，信息来不及处理	[14]
基于全帧的实时质量评估算法	未解决帧计数出现误码时的精确质量评估	[8]
基于子帧的实时质量评估算法	算法时间复杂度增加	[2]

表 5

事后选优算法统计表

处理方法	问题	文献编号
基于选段的事后质量评估算法	数据误码并不影响帧长度，造成质量误判。	[18]
基于选段的事后质量评估算法	为解决丢帧引起的评判失误	[6]
基于全帧的事后质量评估算法	未解决丢帧误码引起的对比结果均不相同的问题	[20]
	评估依据较为单一	[10]
	未给出丢帧引起的	[3]
	数据预处理要求较高，丢弃残缺的全帧数据，不利于数据的充分利用。	[5]
基于子帧的事后质量评估算法	计算繁琐，不易推广	[11]
基于子帧的事后质量评估算法	聚类中心半径不易选取	[6]

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DOI: https://doi.org/10.2478/ijanmc-2022-0010 | Journal eISSN: 2470-8038

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Language: English

Page range: 132 - 149

Published on: May 28, 2023

Published by: Xi’an Technological University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

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© 2023 Hanghang Zhou, Xiaofeng Rong, Fangyuan Ma, Qianshi Yan, Yuchao She, Linjuan Fan, Mingjie Zhao, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 7 (2022): Issue 1 (January 2022)

Research on Real-Time Fusion Technology of Range Telemetry Data

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