ImageVerifierCode 换一换
格式:DOC , 页数:5 ,大小:41.50KB ,
资源ID:1144506      下载积分:10 金币
快捷下载
登录下载
邮箱/手机:
温馨提示:
快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。 如填写123,账号就是123,密码也是123。
特别说明:
请自助下载,系统不会自动发送文件的哦; 如果您已付费,想二次下载,请登录后访问:我的下载记录
支付方式: 支付宝    微信支付   
验证码:   换一换

加入VIP,免费下载
 

温馨提示:由于个人手机设置不同,如果发现不能下载,请复制以下地址【https://www.docduoduo.com/d-1144506.html】到电脑端继续下载(重复下载不扣费)。

已注册用户请登录:
账号:
密码:
验证码:   换一换
  忘记密码?
三方登录: 微信登录   QQ登录   微博登录 

下载须知

1: 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。
2: 试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。
3: 文件的所有权益归上传用户所有。
4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
5. 本站仅提供交流平台,并不能对任何下载内容负责。
6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

版权提示 | 免责声明

本文(deep impact - navigation data report.doc)为本站会员(天天快乐)主动上传,道客多多仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知道客多多(发送邮件至docduoduo@163.com或直接QQ联系客服),我们立即给予删除!

deep impact - navigation data report.doc

1、1Deep Impact - Navigation Images Reportby the Science Data CenterAugust 31, 2006Revised December 12, 2006 (Additions from Bob Werner, JPL/DI AutoNav)1 SummaryNavigation (NAV) data came into the Deep Impact Science Data Center (SDC) in a different form than the science data. However, the SDC pipeline

2、 pre-processed raw NAV data to make it look enough like science FITS data that the existing science data processing pipeline could process the NAV data. This report describes the differences between the NAV and science data and the steps taken to make the science data pipeline accommodate the NAV da

3、ta.NAV data were used for optical navigation (OpNav), where the navigation team analyzed the OpNav images to calculate trajectory corrections, and for autonomous navigation (AutoNav), where software onboard the spacecraft used AutoNav images to compute the brightness centroid of the target body for

4、autonomous trajectory corrections. AutoNav took over control of the flyby spacecraft about two hours before impact. The impactor spacecraft was on autonomous navigation after its release by the flyby spacecraft.2 DetailsThe raw NAV data files generated from telemetry in the Advanced Multimission Mis

5、sion Operations Systems (AMMOS) are in a completely different form than the raw science data. Bob Werner (JPL/DI AutoNav team) provided the description of the raw file format in sections 2.4 and 2.5 below.The differences between the NAV and science data are described next.2.1 Raw filenamesA typical

6、raw filename delivered by AMMOS to the SDC wasNAV_OM_9000385.bin_2005_185T03_38_58.000where Prefix : NAV indicates NAV dataNAV type : _O indicates OpNAV and _A indicates AutoNAVInstrument : M_ indicates MRI, I_ indicates ITS, and H_ indicates HRIVExposure ID : 9000385, same as for science data; imag

7、e number within anexposure ID was always 1 of 1Suffix1 : .bin indicates raw dataAMMOS Date : _2005_185T03_38_58 in YYYY_DOYTHH_MM_SS format and nominally the ground-received time (GRT)Suffix2 : .000 provides uniqueness when two images were processedby AMMOS within the same second22.2 InstrumentsThe

8、NAV images only came from the visible CCD instruments: HRIV, ITS, and MRI. No data from the IR spectrometer (HRII) came through the NAV system.2.3 Image FormatThe NAV data excluded the serial- and parallel-overclock pixels. The nominal raw NAV image was 1008x1008 pixels in size. This means that quad

9、rant bias and smear had to be compensated for elsewhere or not at all. The quadrants were integrated into a single image and not delivered separately as was done with the science data, so some of the packet snips (see below) crossed quadrant boundaries. Finally, the MRI and ITS NAV images needed to

10、be rotated 180 degrees, and the HRI images needed to be inverted (vertically flipped) to be consistent with the science FITS files. The data were always 16-bit data, and a lossless compression method called Eds Algorithm was available but never used in flight.2.4 PacketsA single NAV observation was

11、made up of one or more snips, each of which was made up of one or more packets. A snip was a rectangular (usually square) region of an image. Each snip was intended to be centered on an interesting portion of the image, for example the comet or a background star. The length of the edge of the snip s

12、quare was specified in the instrument command that exposed the image. AutoNav automatically cropped the square if the nominal square-shaped snip would have exceeded the image boundaries. As the snips in a single raw file did not have to cover the entire image area, not all pixels in a single image w

13、ere being returned in all cases. Snips could overlap, resulting in duplicate pixels in the downlinked file. The number of snips per image was determined by AutoNav, based on its prediction of the number of interesting objects in the image. If the instrument command specified an overly large snip, th

14、en the entire 1008x1008 pixel image was encoded as a single snip. Pixels in a snip were transcribed in raster-scan order from the original image. The first pixel was from the upper-left corner of the snip. The next pixels proceeded to the right across the snip. Then the next lower line was transcrib

15、ed, and so on down to the lower-right corner of the snip. Snips themselves were encoded as one or more self-contained packets. (Note: These snip packets were not aligned with downlink telemetry packets. Perhaps a better term would have been snip records.) If a snip packet was received completely, th

16、en its portion of the snip and the image could be reconstructed with confidence, even if adjacent snip packets were damaged or missing. Snip packets never exceeded 1002 bytes in length. If an images snip required more than 1002 bytes, multiple snip packets were created. 2.5 HeaderThe NAV data did no

17、t have the same 100-byte header inserted into the byte stream that the science data had. The NAV data had instead an 80-byte header that was prepended onto each snip of the image data. The header contained the items listed below. Length of the packet (header + data), in bytes (2-byte integer). Never

18、 exceeded 1002. Pixel and line coordinates of brightness centroid determined by AutoNav (two 4-byte floats).3 Pseudo-Ephemeris Time (ET), that is the spacecraft clock (SCLK) time plus an offset to compensate for SCLK drift relative to Barycentric Dynamical Time (TDB) (8-byte double). Pseudo-ET was a

19、n attempt to turn SCLK time directly into ET seconds past J2000. Pseudo-ET was calculated by dividing 256 into SCLK count (in ticks) to get seconds then an offset value (nominally 64.184 sec) was subtracted. This scheme would have been satisfactory if SCLK had run at the correct rate, but it was off

20、 by about 1 second per day. The offset value was updated at least twice during cruise, but the DI project insisted the offset value must not be modified during encounter. RA, DEC, and TWIST (radian) of the instrument boresight (three 8-byte doubles). In the FITS headers, the values were converted to

21、 degrees. The twist angle type was that used for the Galileo mission, where this simple relationship exists between the values of twist angle and celestial North clock angle (also in the FITS headers): celestial North clock angle = (270 - twist angle) mod 360. Spacecraft attitude rates (angular rota

22、tion rates); Incorrect AutoNav code caused the three rates to be identical (three 4-byte floats). Commanded exposure duration excluding the 3.5-millisecond minimum exposure duration (4-byte float). NAIF Target ID, such as 1000093 for comet 9P/Tempel 1 (4-byte integer). Detector (1 = ITS, 2 = MRI, 3

23、= HRIV) (1-byte integer). Compression algorithm (0 = none, 2 = Eds algorithm) (1-byte integer). Always 0 - Eds compression algorithm was never used. Image number (2-byte integer). Image type (2-byte integer). Pixel and line coordinates of the snip rectangle within the image (four 2-byte integers): l

24、eft, right, top, bottom. These values refer to an image displayed top-down and left-to-right. These values were not included in the raw NAV FITS data produced by the Deep Impact data pipeline. Pixel and line coordinates of first pixel (two 2-byte integers). As a snip might require multiple packets,

25、this tells where the packets data begin in the overall snip. These values refer to an image displayed top-down and left-to-right. These values were not included in the raw NAV FITS data produced by the Deep Impact data pipeline.2.6 Temperatures and VoltagesNo temperatures or voltages were available

26、in the NAV headers.3 Raw FITS NAV dataIn order to make the raw NAV data enough like the science data so thepipeline could process the raw data, the following manual steps were taken: The exposure ID was obtained from the raw datas filename. The Pseudo-ET, after adjustment to SCLK per a table provide

27、d by the NAV team, was used as the image stop time. The adjustment applied was stored in the FITS header. The instrument keyword in the FITS header, INSTRUME, was set to NAVHRI, NAVITS, or NAVMRI (for the HRIV, ITS, or MRI instrument respectively).This version of the raw NAV FITS images was archived

28、 at PDS.44 Pre-processing for CalibrationIn order to make the NAV data enough like the science data so the pipeline could calibrate the raw NAV FITS images, the following manual steps were taken to rewrite the raw FITS header and/or prepare for the calibration. The pre-processed raw NAV FITS images

29、were not archived in PDS.4.1 FILTER keywordThe filter was set (HRI and MRI only) from the sequencing spreadsheets using exposure ID and day-of-year (DOY) as a lookup.4.2 INTTIME keywordThe exposure time was converted from seconds to milliseconds and increased by 3.5 milliseconds.4.3 FNDOY keywordThe

30、 DOY was extracted from the raw file name.4.4 IMGH001 keywordThe lookup table was set to zero to indicate no compression.4.5 CCDT, DELTAT keywordsThe CCD on-chip temperature was selected from the nearest science image for the same detector and stored as the CCDT keyword in the FITS header. In practi

31、ce, the smoothed temperatures generated as part of the science calibration procedures overrode this value.The time between the NAV image and the nearest science image was stored as the DELTAT keyword in the FITS header.4.6 FITS Extension for the Quality MapA FITS image extension was generated for ea

32、ch NAV image to indicate missing data, that is data outside all snips.4.7 Overclock pixels and BIASOverclock pixels were also added during pre-processing: Zero values were used for the parallel overclock pixels (used for smear removal). Fixed bias values calculated by science team member Olivier Gro

33、ussin were used to fill in the serial overclock pixels (used for bias removal). One bias value was calculated for each of the four CCD quadrants for each instrument. The four bias values were stored as the NAVBIAS1, NAVBIAS2, NAVBIAS3, and NAVBIAS4 in the FITS headers. NAVBIAS1 applies to the upper-

34、left quadrant, NAVBIAS2 to the lower-left, NAVBIAS3 to the upper-right, and NAVBIAS4 to the lower-right quadrant. Quadrant designations assume a NAV FITS image is displayed bottom-to-top and left-to-right (lines increasing up and samples to the right).55 Calibration Steps for NAV ImagesOnce the raw

35、NAV images were pre-processed, the resulting FITS files were similar to the raw science data so that the standard calibration could be applied. Calibrated NAV FITS images were archived in PDS.The following calibration options were enabled: Flag saturated pixels Linearize DN values Subtract dark fram

36、e Normalize by flat field Despiking Flag bad pixelsThe segmented nature of the NAV images, due to the discrete snips and the absence of real parallel overclock pixel data, required skipping these calibration steps: Crosstalk and smear removal Gap filling MTF correctionAlso, the following calibration steps were disabled: Normalize quadrant gains (already included in flat fields) (Re-)Calibrate temperatures and voltages (raw DNs were not available) Geometric calibration Remove random gaussian noise Correct for uneven bit weighting (not implemented for science data)

本站链接:文库   一言   我酷   合作


客服QQ:2549714901微博号:道客多多官方知乎号:道客多多

经营许可证编号: 粤ICP备2021046453号世界地图

道客多多©版权所有2020-2025营业执照举报