ITU-R RS 1858-2010 Characterization and assessment of aggregate interference to the Earth exploration-satellite service (passive) sensor operations from multiple sources of man-mad.pdf

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1、 Recommendation ITU-R RS.1858(01/2010)Characterization and assessment of aggregate interference to the Earth exploration-satellite service (passive) sensor operations from multiple sources of man-made emissionsRS SeriesRemote sensing systemsii Rec. ITU-R RS.1858 Foreword The role of the Radiocommuni

2、cation Sector is to ensure the rational, equitable, efficient and economical use of the radio-frequency spectrum by all radiocommunication services, including satellite services, and carry out studies without limit of frequency range on the basis of which Recommendations are adopted. The regulatory

3、and policy functions of the Radiocommunication Sector are performed by World and Regional Radiocommunication Conferences and Radiocommunication Assemblies supported by Study Groups. Policy on Intellectual Property Right (IPR) ITU-R policy on IPR is described in the Common Patent Policy for ITU-T/ITU

4、-R/ISO/IEC referenced in Annex 1 of Resolution ITU-R 1. Forms to be used for the submission of patent statements and licensing declarations by patent holders are available from http:/www.itu.int/ITU-R/go/patents/en where the Guidelines for Implementation of the Common Patent Policy for ITU-T/ITU-R/I

5、SO/IEC and the ITU-R patent information database can also be found. Series of ITU-R Recommendations (Also available online at http:/www.itu.int/publ/R-REC/en) Series Title BO Satellite delivery BR Recording for production, archival and play-out; film for television BS Broadcasting service (sound) BT

6、 Broadcasting service (television) F Fixed service M Mobile, radiodetermination, amateur and related satellite services P Radiowave propagation RA Radio astronomy RS Remote sensing systems S Fixed-satellite service SA Space applications and meteorology SF Frequency sharing and coordination between f

7、ixed-satellite and fixed service systems SM Spectrum management SNG Satellite news gathering TF Time signals and frequency standards emissions V Vocabulary and related subjects Note: This ITU-R Recommendation was approved in English under the procedure detailed in Resolution ITU-R 1. Electronic Publ

8、ication Geneva, 2010 ITU 2010 All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without written permission of ITU. Rec. ITU-R RS.1858 1 RECOMMENDATION ITU-R RS.1858 Characterization and assessment of aggregate interference to the Earth exploration-satellite

9、 service (passive) sensor operations from multiple sources of man-made emissions (Question ITU-R 243/7) (2010) Scope This Recommendation provides information on the characterization and assessment of aggregate interference to passive sensor operations from multiple sources of man-made emissions. Fir

10、st, various sources of interference are enumerated. Next, the statistical moments of the aggregate interference are determined. Finally, results of a dynamic simulation that validates the aggregation methodology are discussed. The ITU Radiocommunication Assembly, considering a) that passive sensors

11、are used in the remote sensing of the Earth and its atmosphere by Earth exploration and meteorological satellites in certain frequency bands allocated to the Earth exploration-satellite service (EESS) (passive); b) that the products of these passive sensor operations are essential to and used extens

12、ively in meteorology, climatology, and other disciplines for operational and scientific purposes; c) that passive sensors operating in the EESS (passive) are sensitive to any emissions within their allocated band; d) that any man-made emissions in bands allocated to the EESS (passive) may constitute

13、 degradation to the passive sensors using those bands and, subsequently, may impact their intended operations; e) that passive sensors may not be able to differentiate natural emissions from man-made emissions, and that man-made emission power may not be identifiable in the passive sensor products;

14、f) that it is necessary to characterize the sources of degradation to passives sensors; g) that it is necessary to develop appropriate methodologies to assess the aggregate impact of interference on passive sensor operations, noting a) that Recommendations ITU-R RS.515, ITU-R RS.1028 and ITU-R RS.10

15、29 provide general EESS (passive) operational characteristics, performance and protection criteria; b) that Recommendation ITU-R SM.1633 considers the impact of man-made emissions to EESS (passive) in certain bands in the range 1.4 to 60 GHz resulting from certain active services in specific adjacen

16、t or nearby bands; c) that Recommendation ITU-R SM.1542 provides some information regarding techniques that the EESS (passive) sensors may employ to mitigate effects of unwanted emissions, 2 Rec. ITU-R RS.1858 recommends 1 that the methodology in Annex 1 should be used to assess the aggregate interf

17、erence to passive sensors caused by interference from multiple sources of man-made emissions. Annex 1 Characterization of interference to EESS (passive) sensors from multiple sources of man-made emissions, and a methodology to assess the interference 1 Introduction The EESS (passive) sensor is essen

18、tially a radiometer designed to measure natural emissions in a frequency range of interest. EESS (passive) sensors are vulnerable to emission power from terrestrial transmitters, including single high-power transmitters, and from the aggregate emissions of densely deployed low-power transmitters. Sp

19、ace-borne transmitters may add indirectly to the energy received by the sensor via reflections off the Earth into the sensor antenna, or directly through the main beam and side lobes of the antenna. Man-made emissions have various characteristics that differentiate them from natural microwave emissi

20、ons. Though these characteristics are present in individual sources in varying degrees, the aggregate of a large number of sources may not possess characteristics that allow them to be distinguished from natural planetary emissions. Parameters that are required to characterize the interference to EE

21、SS (passive) sensors include: frequency range of EESS (passive) sensor operation; power from all man-made emission sources toward the sensor; receptivity of the EESS (passive) sensor operation to the man-made emission power present; scattering from the Earths surface, from atmospheric constituents,

22、and from other objects; atmospheric absorption, and space loss. In order to characterize the degradation to EESS (passive) sensor operations from all sources of man-made emissions it is necessary to: establish a reference for measuring degradation to EESS (passive) sensor operations; characterize th

23、e sources of man-made emissions according to their classification and emission characteristics; assess the classification sources of man-made emissions regarding the significance of their impact on the operation of EESS (passive) sensors; assess the degradation caused by each significant class of em

24、ission, and their aggregate effect on passive sensor operations. Rec. ITU-R RS.1858 3 2 Characterization of interference sources An important characteristic of sources of man-made emissions with regard to EESS (passive) sensor data degradation is the amount and variability of power that those source

25、s emit into the passband of the EESS (passive) sensor. The degradation of EESS (passive) sensor operation from man-made signals can be characterized by the aggregate of the sources of man-made emissions in relation to the receptivity of the EESS (passive) sensor to the emission power characteristics

26、 present. The receptivity of the passive sensor to man-made emission power is dependent on the operational parameters of the sensor in relation to the specific characteristics of the man-made emission power. The total permissible emission power at the sensor, given by the Recommendation ITU-R RS.102

27、9, can be used as a reference for interference assessment. Individual sources are characterized first in terms of their service classifications, and second by the types of emissions. Concerning service classification, the sources of all man-made emission power are subdivided into a set of distinctly

28、 defined groups: radiocommunication and radiodetermination services; other sources. Radiocommunication and radiodetermination services are those enumerated in Article 1 of the Radio Regulations (RR). To facilitate analysis, the radiocommunication services are grouped under the following two headings

29、: 1 terrestrial; 2 space. While other sources of man-made emission are grouped under the following three headings: 1 short-range radiocommunication devices1(SRDs); 2 ISM2equipment; 3 electrical apparatus or installations3. Concerning types of emission, radiocommunication services and other sources a

30、re organized as defined by the RR: 1 power resulting from the emissions within the necessary bandwidth4; 2 power resulting from the emissions from the out-of-band domain5; and 3 power resulting from the emission from the spurious domain5. Consideration should be given to the sensor operation in a pu

31、rely passive band, the sensor operation in a mixed passive-active band, application of mitigation techniques, or other circumstances that are relevant to the assessment of the impact of man-made emissions on the sensors operation. The purely passive bands are those listed in RR No. 5.340. Note, howe

32、ver, that some of the bands listed in RR No. 5.340 allow for specific active service notifications as indicated by the footnote. Therefore, care must be exercised to accurately reflect the conditions present for that specific sensor. 1Recommendation ITU-R SM.1538-2. 2RR No. 1.15. 3RR No. 15.12. 4RR

33、No. 1.152. 5Defined as provided in Recommendation ITU-R SM.1541-1. 4 Rec. ITU-R RS.1858 3 Methodology for interference aggregation In ITU-R studies involving multiple radiocommunication services that affect the EESS (passive), the following general principles apply: all relevant RR provisions and IT

34、U-R Recommendations should be taken into account: a) all relevant criteria of the interference should be considered, particularly the differences between in-band and unwanted emissions of the affected radiocommunication services; b) the relative impact of each affected radiocommunication service, in

35、 relation to the other affected radiocommunication services on the passive service should be considered on a band-by-band basis; for the passive bands listed in RR No. 5.340, the provision states that “all emissions are prohibited”. The interference criteria from Recommendation ITU-R RS.1029 determi

36、nes an interference threshold and a percentage of area or time for which the threshold should not be exceeded. This percentage is called the data availability criterion. Generally the first step in interference assessment is to calculate the aggregate interference within the sensor antenna footprint

37、 believed to produce the greatest amount of interference. This is commonly done by doing a worst-case static calculation. If this calculation results in an interference level that exceeds the permissible value, then dynamic simulations are conducted to determine whether the aggregate interference co

38、mplies with the data availability criterion on a global or regional basis. However, not only are global or regional statistics of concern, but also statistics of the interference from the worst-case antenna footprint are of concern. For example, the emitters in that footprint may be operating interm

39、ittently, or the directions in which their antennas are pointing may be changing. Therefore, the interference power from the worst-case footprint will have a probability distribution, just as interference on a global or regional basis will have a probability distribution due to the geographical vari

40、ation in emitter deployment. The main difference is that interference on a global basis would be analysed using dynamic simulation, while interference from a worst-case footprint could also be analysed using Monte Carlo methods in those cases where it may be difficult to accumulate sufficient data i

41、n a reasonable amount of time by using dynamic simulation. These simulations, whether dynamic or Monte Carlo, are commonly conducted when there is only a single type of interfering service involved. The question is how to proceed when there are multiple interfering services, because it may not alway

42、s be practical to incorporate all interfering services in a single simulation. One way to proceed is to assume that the time-varying aggregate interference from any radiocommunication service consists of both long-term and short-term components. Short-term interference events from different services

43、 are generally not correlated and do not occur at the same time. Hence, short-term interference does not aggregate in power, but rather in time. On the other hand, long-term interference aggregates in power rather than in time. The problem with this approach is the fact that there is no long-term in

44、terference criterion that exists for passive sensing, so there is no way to decide whether the long-term component of the aggregate interference is excessive. Furthermore, as will be seen later, any given interference scenario generally exhibits both short-term and long-term components, which means

45、that the interference aggregates both in power and in time. Another way to proceed, which does not require a distinction between short-term and long-term interference, is to employ the method of statistical moments, which is the subject of the rest of this annex. To deal with the aggregate interfere

46、nce level within the sensor band, we can start with a statistical description of the interference from each service. The ultimate aim is to determine the aggregate interference level that is exceeded a small percentage of the time. Rec. ITU-R RS.1858 5 Let kand k2denote the mean (W) and the variance

47、 (W2) of the interference level at the passive sensor from the k-th service. In a dynamic or Monte Carlo simulation, kwould be the sum of the interference levels obtained from a large number of samples of interference power at the input of the passive sensor, divided by the number of samples for the

48、 k-th service. k2would be the sum of the squares of the deviations of the interference samples of interference power at the input of the passive sensor from k, divided by the number of samples. Knowledge of the probability distribution for the interference from each individual service is not require

49、d. Under the assumption that the interference contributions from the different active services are independent of one another, the moments of the aggregate distribution can be written: =Kkk1and =Kkk122(1) where K is the number of interfering services. This is true regardless of the probability distribution for the interference from each individual service. In fact, if the interfering services are statistically independent, the means and variances of the interference levels are the only additive quantities that exist in a statistical sense. The momen