舰载环境下光电经纬仪的引导与实现

张兴国, 韩涛, 李靖. 舰载环境下光电经纬仪的引导与实现[J]. 光电工程, 2017, 44(5): 511-515. doi: 10.3969/j.issn.1003-501X.2017.05.006
引用本文: 张兴国, 韩涛, 李靖. 舰载环境下光电经纬仪的引导与实现[J]. 光电工程, 2017, 44(5): 511-515. doi: 10.3969/j.issn.1003-501X.2017.05.006
Zhang Xingguo, Han Tao, Li Jing. Guidance and implementation of photoelectric theodolite in shipborne environment[J]. Opto-Electronic Engineering, 2017, 44(5): 511-515. doi: 10.3969/j.issn.1003-501X.2017.05.006
Citation: Zhang Xingguo, Han Tao, Li Jing. Guidance and implementation of photoelectric theodolite in shipborne environment[J]. Opto-Electronic Engineering, 2017, 44(5): 511-515. doi: 10.3969/j.issn.1003-501X.2017.05.006

舰载环境下光电经纬仪的引导与实现

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    *通讯作者: 韩涛.E-mail: honkto@126.com
  • 中图分类号: V271.4

Guidance and implementation of photoelectric theodolite in shipborne environment

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  • 舰载机飞行试验时,舰上常配备有光电经纬仪测量系统。针对光电经纬仪引导时所遇到引导信息频率低、存在干扰的问题,提出了数据预测的外推内插法和粗差剔除的三点截止法;为了平滑切换引导源,提出了渐进式跟踪算法。实际数据比对表明,上述方法有效地解决了舰载复杂环境下的数据滤波、插值和多源信息的引导问题。最后,基于舰载GPS/INS组合惯导信息,推导出动基座光电目标引导算法公式。

  • Abstract: In order to accurately measure the trajectory and characteristic points of the carrier borne aircraft during the flight test, the shipborne photoelectric theodolite is adopted. According to the target position information and the video image information measured by the observation system, the solution is obtained in the deck coordinate system for the accurate trajectory of the target. However, due to the influence of the weather, the distance is short and the field of view is small. When the aircraft enters its working area, it is often too late to be tracked. Related research report is relatively small. In order to solve this problem, according to the ship and aircraft equipped with infrared guide, mutual guide and guide work, when a target signal appears, primary mirror of theodolite is guided to aim target direction. Once the target runs into the test area, it will be timely captured. The warship is generally equipped with photoelectric theodolite in shipboard plane flying test. Flight test equipment configuration of the aircraft is equipped with a real-time GPS system, and the ship is equipped with telemetry system, and therefore the project uses an external guide work.

    According to the environment caused by theodolite data source interference and low data sending rate, the guidance algorithm of moving optoelectronic target under complex environment is proposed to solve the problem of photoelectric theodolite stability guidance. The GPS with three organic loading error cutoff methods is adjusted by extrapolation prediction data interpolation method, incremental tracking algorithm source guide smooth switching and coordinate transformation algorithm. Several algorithms are successfully applied to the project, and achieve good results.

    In flight test, there are two sources of guidance: airborne GPS data and telemetry data sent by the network. Airborne GPS positioning system through the wireless data chain under the plane cause the ship affected by the electromagnetic environment and the plane distance. Pose variation and occlusion of wireless data link bandwidth and limited data issued by the noise pollution and low frequency eliminate the coordinate transmission conversion error after using three points method of gross error on the received data of coordinate conversion for the first time. The remote sensing system sends the guide data. The frequency is high, and the data is stable. The threshold method is used to remove the outliers and then participates in the guidance calculation. Aiming at the problem of guidance source signal low frequency and interference, thesis puts forward an extrapolation-interpolation method and a three points cut-off method, respectively. Thesis also puts forward gradually tracking algorithm for the smooth transition of guidance sources. The methods all above resolve effectively data filter, interpolation and multi-source problem which are encountered in the guiding photoelectric theodolite on the shipboard. The last moving base photoelectric equipment guidance formulae are educed based on GPS/INS integrated navigation information.

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  • 图 1  三点截止法剔除野值. (a)时间. (b)纬度数据. (c)经度数据. (d)高程数据.

    Figure 1.  Three points cut-off method to eliminate outliers. (a) Time. (b) Latitude data. (c) Longitude data. (d) Altitude data.

    图 2  外推内插法与最小二乘法外推.

    Figure 2.  Extrapolation-interpolation method and the least squares extrapolation.

    图 3  渐进式跟踪算法数据融合.

    Figure 3.  Data fusion of progressive tracking algorithm.

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出版历程
收稿日期:  2017-02-22
修回日期:  2017-04-10
刊出日期:  2017-05-15

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