精确测深时延的测定

Hongmei Zhang, Jianhu Zhao, Fengnian Zhou
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Generally, TD is determined by comparing sounding solutions with positioning solutions measured as vessel going by an anchored buoy in a to-and-fro surveying way with different velocities. However, this method may bring obvious error in the determination due to buoy movement. Therefore the following three methods are studied and presented in the paper. We first study method of characteristic point pairs. Looking for a characteristic inshore seabed, we implemented a to-and-fro measurement along a planning line. The characteristic terrain of the seabed can be found easily in the two profiles. For a characteristic aim on seabed, we can find a pair of characteristic points in the two profiles. According to the two horizontal positions, depths and time of the characteristic point pair, we can calculate the TD. For different characteristic points, we can also determine their time delays. Then the TD of the system is the mean of TDs of all point pairs. Determined TD by the above method needs to choose characteristic point pairs manually. In the following, we will study an automatic determination method, which is method of maximum similarity of profiles. High-sampling rate makes the to-and-fro profiles present seabed topography subtly and continuously. If we think the two profiles are two curves of A and B, we can determine TD in virtue of similarity coefficient R of them. If we fix profile A and move profile B, we can get a series of similarity coefficient R(d). If we move a displacement of d, R reaches maximum or is close to 1, then the d is the displacement resulted from TD. If vA and vB are mean vessel velocity in to-and- fro measurements, then TD can be acquired through the calculating of d divided by the sum of vA and vB. The method can automatically calculate TD, while we must implement a fro-and- to measurement. In the following, we present a more convenient method which is Method of Consistent Vertical Motion of Vessel. Both of heave derived from MRU and GPS height from GPS RTK take the same role in monitoring the vessel vertical motion. If we correct the two signals to the same position, such as reference point(RP) in vessel frame system(VFS), we can get two time series dhheave-RP and hGPS-RP. Taking similar method shown in method of maximum similarity of profiles, we can acquire TD by fixing time series dhheave-RP and moving time series hGPS-RP in time scale. If we move a time ? and make similarity coefficient R(?) reach maximum, then the ? is also time delay of the system. The method of time delay determination can be implemented at any time and by any way. While an important mention, which time length [0T] of the time series used for determining time delay is not the whole time length of dhheave-RP or hGPS-RP, but only part of it, needs to be clarified. As concerning frequency characters of the two time series, time series hGPS-RP , veritably reflects entire- frequency vertical motion, while dhheave-RP is only valid in presenting high-frequency vertical motion. Thus, the time length of both time series should be within 60 second of their common period. we used the three methods in an experiment of time delay detection, and acquire very consistent time delay and high accuracy of time delay determination. Finally, we analyze the characters of the three methods. Method of characteristic point pairs and method of maximum similarity of profiles need to implement to-and-fro profile measurements in data sampling. The two methods are simple in calculation, while accuracy of the determination of TD will become weak with the decreasing of sampling density and point- pair correlative degree. Method of consistent motion has simplicity in implement and high accuracy in the determination of time delay. 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According to the two horizontal positions, depths and time of the characteristic point pair, we can calculate the TD. For different characteristic points, we can also determine their time delays. Then the TD of the system is the mean of TDs of all point pairs. Determined TD by the above method needs to choose characteristic point pairs manually. In the following, we will study an automatic determination method, which is method of maximum similarity of profiles. High-sampling rate makes the to-and-fro profiles present seabed topography subtly and continuously. If we think the two profiles are two curves of A and B, we can determine TD in virtue of similarity coefficient R of them. If we fix profile A and move profile B, we can get a series of similarity coefficient R(d). If we move a displacement of d, R reaches maximum or is close to 1, then the d is the displacement resulted from TD. If vA and vB are mean vessel velocity in to-and- fro measurements, then TD can be acquired through the calculating of d divided by the sum of vA and vB. The method can automatically calculate TD, while we must implement a fro-and- to measurement. In the following, we present a more convenient method which is Method of Consistent Vertical Motion of Vessel. Both of heave derived from MRU and GPS height from GPS RTK take the same role in monitoring the vessel vertical motion. If we correct the two signals to the same position, such as reference point(RP) in vessel frame system(VFS), we can get two time series dhheave-RP and hGPS-RP. Taking similar method shown in method of maximum similarity of profiles, we can acquire TD by fixing time series dhheave-RP and moving time series hGPS-RP in time scale. If we move a time ? and make similarity coefficient R(?) reach maximum, then the ? is also time delay of the system. 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引用次数: 1

摘要

目前,潮汐无关测深系统在水文测量中得到了广泛的应用,相对于传统的测深方法,它有效地提高了单波束测深精度。而GPS RTK与单波束测深系统之间存在的时延(TD),往往会导致定位与测深解不同步,降低最终结果的精度。TD主要来源于GPS RTK解决方案由于其内部算法、卫星数量、无线电信号处理方式和测井数据模型等原因造成的余波输出。大量实验证明,时间延迟至少可达0.2秒,最多可达1.2秒。一般情况下,通过将测深解与锚定浮筒在船舶以不同速度来回测量时测量的定位解进行比较来确定TD。但是,由于浮标的运动,这种方法在确定时可能会带来明显的误差。因此,本文研究并提出了以下三种方法。首先研究了特征点对的方法。为了寻找具有特色的近海海床,我们沿着规划线进行了来回测量。在这两条剖面中可以很容易地找到海底的特征地形。对于海底特征目标,我们可以在两个剖面中找到一对特征点。根据特征点对的两个水平位置、深度和时间,我们可以计算出TD。对于不同的特征点,我们还可以确定它们的时滞。那么系统的TD就是所有点对的TD的均值。上述方法确定的TD需要人工选择特征点对。下面,我们将研究一种自动确定方法,即轮廓最大相似度法。高采样率使得来回剖面能够精细、连续地呈现海底地形。如果我们认为这两个剖面是A和B的两条曲线,我们可以通过它们的相似系数R来确定TD。固定轮廓A,移动轮廓B,可以得到一系列相似系数R(d)。如果移动位移d, R达到最大值或接近1,则d是由TD引起的位移。如果在来回测量中,vA和vB为船舶平均速度,则通过计算d除以vA和vB的总和即可得到TD。该方法可以自动计算TD,但必须实现从-到测量。下面,我们提出了一种更简便的方法,即船舶垂直一致运动法。MRU测得的升沉和GPS RTK测得的GPS高度对船舶垂直运动的监测作用相同。如果将两个信号校正到相同的位置,如船舶框架系统(VFS)中的参考点(RP),就可以得到两个时间序列:heavi -RP和hGPS-RP。采用剖面最大相似度法所示的相似方法,在时间尺度上固定时间序列hheavi - rp和移动时间序列hGPS-RP即可获得TD。如果我们移动一个时间?使相似系数R(?)达到最大值,则?也是系统的时间延迟。确定时间延迟的方法可以在任何时间以任何方式实现。而需要重点说明的是,用于确定时间延迟的时间序列中的哪个时间长度[0T]并不是dhheave-RP或hGPS-RP的全部时间长度,而只是其中的一部分。从两个时间序列的频率特征来看,hGPS-RP时间序列真实地反映了全频率的垂直运动,而hGPS-RP时间序列仅在呈现高频垂直运动时有效。因此,两个时间序列的时间长度应在其共同周期的60秒内。我们将这三种方法应用于时延检测实验中,获得了非常一致的时延和较高的时延确定精度。最后,分析了这三种方法的特点。在数据采样中,特征点对法和轮廓最大相似度法需要实现来回轮廓测量。这两种方法计算简单,但随着采样密度和点对关联度的减小,其精度会变弱。一致运动法具有实现简单、确定时滞精度高的优点。因此,我们推荐它作为测定TD的最佳方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of time delay for precise bathymetric survey
Now tide- independent bathymetric system is widely used in hydrographic survey and improves effectively single-beam bathymetric accuracy relative to the traditional bathymetric method. While time delay (TD), which exists between GPS RTK and single-beam sounding system, often leads to the positioning and sounding solution non synchronization and decreases the accuracy of final result. TD mainly originates from the lingering output of GPS RTK solution due to its interior algorithm, satellites number, radio signal processing mode and logging data model. Large numbers of experiments have proved that time delay may reach 0.2 second at least and 1.2 second at most. Generally, TD is determined by comparing sounding solutions with positioning solutions measured as vessel going by an anchored buoy in a to-and-fro surveying way with different velocities. However, this method may bring obvious error in the determination due to buoy movement. Therefore the following three methods are studied and presented in the paper. We first study method of characteristic point pairs. Looking for a characteristic inshore seabed, we implemented a to-and-fro measurement along a planning line. The characteristic terrain of the seabed can be found easily in the two profiles. For a characteristic aim on seabed, we can find a pair of characteristic points in the two profiles. According to the two horizontal positions, depths and time of the characteristic point pair, we can calculate the TD. For different characteristic points, we can also determine their time delays. Then the TD of the system is the mean of TDs of all point pairs. Determined TD by the above method needs to choose characteristic point pairs manually. In the following, we will study an automatic determination method, which is method of maximum similarity of profiles. High-sampling rate makes the to-and-fro profiles present seabed topography subtly and continuously. If we think the two profiles are two curves of A and B, we can determine TD in virtue of similarity coefficient R of them. If we fix profile A and move profile B, we can get a series of similarity coefficient R(d). If we move a displacement of d, R reaches maximum or is close to 1, then the d is the displacement resulted from TD. If vA and vB are mean vessel velocity in to-and- fro measurements, then TD can be acquired through the calculating of d divided by the sum of vA and vB. The method can automatically calculate TD, while we must implement a fro-and- to measurement. In the following, we present a more convenient method which is Method of Consistent Vertical Motion of Vessel. Both of heave derived from MRU and GPS height from GPS RTK take the same role in monitoring the vessel vertical motion. If we correct the two signals to the same position, such as reference point(RP) in vessel frame system(VFS), we can get two time series dhheave-RP and hGPS-RP. Taking similar method shown in method of maximum similarity of profiles, we can acquire TD by fixing time series dhheave-RP and moving time series hGPS-RP in time scale. If we move a time ? and make similarity coefficient R(?) reach maximum, then the ? is also time delay of the system. The method of time delay determination can be implemented at any time and by any way. While an important mention, which time length [0T] of the time series used for determining time delay is not the whole time length of dhheave-RP or hGPS-RP, but only part of it, needs to be clarified. As concerning frequency characters of the two time series, time series hGPS-RP , veritably reflects entire- frequency vertical motion, while dhheave-RP is only valid in presenting high-frequency vertical motion. Thus, the time length of both time series should be within 60 second of their common period. we used the three methods in an experiment of time delay detection, and acquire very consistent time delay and high accuracy of time delay determination. Finally, we analyze the characters of the three methods. Method of characteristic point pairs and method of maximum similarity of profiles need to implement to-and-fro profile measurements in data sampling. The two methods are simple in calculation, while accuracy of the determination of TD will become weak with the decreasing of sampling density and point- pair correlative degree. Method of consistent motion has simplicity in implement and high accuracy in the determination of time delay. Thus we recommend it as an optimum method for determining TD.
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