Open Access

Research on Real-Time Fusion Technology of Range Telemetry Data

Hanghang Zhou
Hanghang Zhou
, 
Xiaofeng Rong
Xiaofeng Rong
, 
Fangyuan Ma
Fangyuan Ma
, 
Qianshi Yan
Qianshi Yan
, 
Yuchao She
Yuchao She
, 
Linjuan Fan
Linjuan Fan
 and 
Mingjie Zhao
Mingjie Zhao
   | May 28, 2023
International Journal of Advanced Network, Monitoring and Controls's Cover Image
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Published Online: May 28, 2023
Page range: 132 - 149
DOI: https://doi.org/10.2478/ijanmc-2022-0010
Keywords
© 2022 Hanghang Zhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Data processing flowchart
Data processing flowchart

图 1

数据处理流程图
数据处理流程图

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]
Large amount of calculation, not easy to promote [19]
P-TCMA The number of data positions is wrong when the frame is dropped [18]
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]

Literature correspondence algorithm analysis table

Approach Problem Literature number
PSF-QEA Data error does not affect the frame length, causing quality misjudgment. [18]
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]
Cluster center radius is not easy to choose [6]

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

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]
Accurate quality evaluation when errors occur in unresolved frame counts [8]
SF-QEA Increased algorithm time complexity [2]

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]
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]

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]
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]
聚类中心半径不易选取 [6]

Accumulative error alignment process

Frame number GS1 GS2 Fusion result Correct
1 28586 65530 28586 65530
2 65531 65467 65467 65531
3 65532 65356 65356 65532
4 65523 65533 65523 65533

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]
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]
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]

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]
累积错误 [8]
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]
依赖设备指标值 [2]
eISSN:
2470-8038
Language:
English
Publication timeframe:
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Journal Subjects:
Computer Sciences, other
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