1、 Recommendation ITU-R SM.2039(08/2013)Spectrum monitoring evolutionSM SeriesSpectrum managementii Rec. ITU-R SM.2039 Foreword The role of the Radiocommunication Sector is to ensure the rational, equitable, efficient and economical use of the radio-frequency spectrum by all radiocommunication service
2、s, including satellite services, and carry out studies without limit of frequency range on the basis of which Recommendations are adopted. The regulatory and policy functions of the Radiocommunication Sector are performed by World and Regional Radiocommunication Conferences and Radiocommunication As
3、semblies 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-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 pat
4、ent 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/ISO/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/pu
5、bl/R-REC/en) Series Title BO Satellite delivery BR Recording for production, archival and play-out; film for television BS Broadcasting service (sound) BT Broadcasting service (television) F Fixed service M Mobile, radiodetermination, amateur and related satellite services P Radiowave propagation RA
6、 Radio astronomy RS Remote sensing systems S Fixed-satellite service SA Space applications and meteorology SF Frequency sharing and coordination between fixed-satellite and fixed service systems SM Spectrum management SNG Satellite news gathering TF Time signals and frequency standards emissions V V
7、ocabulary and related subjects Note: This ITU-R Recommendation was approved in English under the procedure detailed in Resolution ITU-R 1. Electronic Publication Geneva, 2013 ITU 2013 All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without written permiss
8、ion of ITU. Rec. ITU-R SM.2039 1 RECOMMENDATION ITU-R SM.2039 Spectrum monitoring evolution (Question ITU-R 235/1) (2013) Scope This Recommendation gives a brief introduction on the evolution of spectrum monitoring and recommends requirements and technologies to be considered to support the evolutio
9、n of spectrum monitoring. The ITU Radiocommunication Assembly, considering a) that spectrum monitoring is a key element of spectrum management; b) that radiocommunication technologies and systems are in constant and rapid evolution; c) that, among other technologies, the impact of software-defined r
10、adio and cognitive radio systems on spectrum monitoring needs to be studied; d) that spectrum use in higher frequency bands continues to increase; e) that the ITU-R Recommendations and Reports in the SM-series, as well as the ITU Handbook on spectrum monitoring (Edition 2011) provide extensive infor
11、mation on spectrum monitoring of existing radio communication technologies and systems; f) that the existing spectrum monitoring systems and/or methods (including fixed, mobile and transportable stations) may need to be assessed with respect to their capability for monitoring new radiocommunication
12、technologies and systems; g) that the improvement in spectrum monitoring equipment enhances the efficiency and effectiveness of the spectrum management process; h) that the increasing amount of collected spectrum measurement results may require adaptation of the organization and handling of the data
13、 and of the spectrum monitoring techniques used, recognizing a) that the use of co-frequency multiplexing, advanced spectrum sharing techniques and other methods could improve frequency occupancy and spectrum efficiency; b) that wideband radio systems could enable faster communications, and the tech
14、nology is developing very fast especially in future data networks; c) that some spectrum monitoring systems have difficulty detecting and locating low power radio devices which use modern modulation techniques, recommends 1 that the evolution of spectrum monitoring makes use of systems that can exte
15、nd the monitoring coverage, perform various functions and include user-friendly operation which are described in Annex 1; 2 Rec. ITU-R SM.2039 2 that the evolution of spectrum monitoring utilizes technologies, such as Detection of Weak signals, Co-frequency Signal Separation, and Multi-mode Location
16、 based on a combination of techniques, which are described in Annex 2. Annex 1 Requirements of systems supporting the evolution of spectrum monitoring 1 Extending the monitoring coverage With the continuous and rapid development of radio technologies, with higher frequencies and broader bandwidths,
17、the more radio propagation distance decreases. It brings about a new challenge to spectrum management and monitoring. To strengthen the management and monitoring of radio spectrum, it is necessary to expand the coverage of spectrum monitoring or improve the sensitivity of the monitoring system to de
18、tect weak signals under low signal-to-noise ratio conditions. To detect weak signals, the following technologies would have to be used: Increase of the antenna gain (e.g. directional antenna, reconfigurable antenna). Decrease of the transmission loss (e.g. outdoor installation of equipment for minim
19、izing RF cable loss). Reduction of the receiver noise figure. Reduction of the noise by signal processing (e.g. noise subtraction, correlation). However, it is not enough to cope with the decrease of radio propagation distance. An increase in the number of monitoring stations should be considered bu
20、t it is not always practical to deploy large fixed monitoring networks. When considering the practical conditions, the flexible operation and deployment with various types of monitoring systems should be needed: Monitoring systems with high performance (e.g. fixed monitoring system). Low-priced moni
21、toring systems for special bands/signals (e.g. monitoring system for 2.4 GHz ISM band). Monitoring systems for specific purpose/region (e.g. airport monitoring system, transportable monitoring system for major events). Mobile and portable monitoring systems. 2 Performing the various functions 2.1 Mu
22、lti-domains The monitoring system should carry out various analyses in multi-domains as shown in Table 1. Analysis of multi-domains helps operators to identify signals and to extract parameters of the signals. Specifically, analysis of the known standard data communication protocol can provide more
23、information including transmitter identification. The existing analysis such as time/spectrum domain and amplitude/phase domain is basic and necessary. As wider signal bandwidths and shorter Rec. ITU-R SM.2039 3 signal durations are becoming more common, this analysis may be required for performing
24、the multi-channel direction finding in addition to a general single-channel direction finding. Development of signal processing technology makes it possible to perform the simultaneous multi-channel direction finding which can enable obtaining the spatial information of each channel. Also, direction
25、 finding of short duration signals like hopping signals is possible and direction finding results of multi-channel systems can inform whether an unknown wideband signal is the same channel or not. Furthermore, if carrying out single-channel and multi-channel direction finding at the same time, it ca
26、n be expected to produce more reliable direction finding results. TABLE 1 Example of various analyses in multi-domains Level vs. Time Level vs. Frequency Frequency vs. Time In vs. Quadrature-phase Space vs. Frequency Amplitude Pulse Eye-diagram Spectrum Occupancy Spurious Spectrum mask Noise Frequen
27、cy deviation Frequency offset Frequency hopping Constellation-diagram EVM Phase offset Multi-channel direction finding 2.2 Multi-measurements With high-performance measurement systems, it takes less time to measure by reducing processing overhead such as receiver setting time and signal processing t
28、ime. As a result, the multi-measurements can be performed by time sharing as indicated in the following examples: Measurement of the channel occupancy and analysis of particular frequency by time-sharing simultaneously. When two users request the measurement and analysis of distinct frequency bands
29、at the same time, the computation and transmission of results are possible by sharing time. 2.3 Multi-receivers If using multi-receivers, the improvement of speed and performance by concurrent measurements can be expected and the following functions can be performed: Searching and listening by hando
30、ver Operators can search and listen to the detected signals by handover. Direction finding and location The details on direction finding and location of transmitters are referred to in Chapter 4.7 of the ITU Handbook on spectrum monitoring (Edition 2011). In the case of using multi-stations for loca
31、tion, there are two methods which are the triangulation method using angle of arrival (AOA) of systems with multi-receivers and time difference of arrival (TDOA) method using time difference of each distributed system. Better location accuracy can be achieved through the combination of the two metho
32、ds because of the complementing advantages and limitations of each method. 4 Rec. ITU-R SM.2039 Spatial diversity The signal is transmitted over several different propagation paths which cause phase shifts, time delays, attenuations, and distortions that can destructively interfere with one another
33、at the aperture of the receiving antenna. The spatial diversity is usually performed by selecting the best signal-to-noise ratio (SNR) among received signals or/and by combining signals through direct or coherent addition and can improve the signal quality and reliability of a wireless link. Correla
34、tion detection The system with multi-receivers can use correlation methods. It can be possible to detect weak signals by reducing random noise sources like the white noise of receivers. 2.4 Multi-user The connection methods used between stations and operators should be changed. When controlling moni
35、toring stations at any terminal, the connection type would be shifted from one-to-one (1:1) to one-to-many (1:N) or many-to-many (N:N) in the same manner as the transformation of telecommunication networks from circuit-switching to packet-switching. When multiple users call for measurements from arb
36、itrary stations simultaneously, the station analyses and schedules its own resources. Next, it conducts the measurement and transmission of results on schedule. In the case of using several stations (e.g. TDOA and Cross-correlation detection), the master station (or central controller) can schedule
37、and control measurements. 3 User-friendly operation As technology advances and various new signal types appear, the signal bandwidth is increasing and setting parameters are getting more complex for signal analysis purposes. The use of analogue modulated sounds and images has moved to digital data c
38、ommunications which usually use more complicated modulation methods and various coding techniques. For example, in the case of using analogue modulation, it is possible to analyse the signal by setting frequency, bandwidth and modulation type. However, when analysing digital modulation methods, anal
39、ysis should include not only frequency, bandwidth and modulation methods but also standard parameters such as matched filter type, symbol rate, frame structure and various codes. As a simple domain such as spectrum and level of signals is changed into multi-domains as shown in Table 1, operators may
40、 require a user-friendly control display (often called Graphical User Interface, or GUI) which enables automatic settings of parameters and graphics for effective and convenient analysis. The useful and user-friendly display for monitoring may be equipped with functions such as automatic parameter s
41、etting according to signal types and different digital communications standards. Also, it should contain gain control depending on the received signal level and convenient diagnosis of the network and hardware. When the monitoring and measurements are performed for a long time, large amounts of data
42、 are accumulated in database. Therefore, temporal and spatial changes of signals can be effectively estimated by comparing with the existing data through easy access to database. Rec. ITU-R SM.2039 5 Annex 2 Technologies supporting the evolution of spectrum monitoring 1 Detection of weak signals The
43、 use of wideband devices and short range devices has been increasing rapidly in recent years, which causes difficulties for some monitoring systems without advanced processing, which have to deal with such low-power-density signals, especially to locate illegal transmitters or spurious emissions, et
44、c. Deploying more monitoring systems will help to solve this problem, but this solution can be expensive. In many cases, detection of weak signals can be improved by using a dynamic monitoring network, which may consist of mobile systems supporting and working to complement the fixed stations. Futur
45、e spectrum monitoring systems using technology for detection of weak signals will detect low-power-density signals without high cost. Typically, cross-correlation can improve sensitivity of spectrum monitoring systems 20-30 dB. Advanced technologies, such as locked-in amplifier, sampled integration,
46、 auto-correlation, cross-correlation and adaptive noise cancelling, may be used to detect low-power-density weak signals. 2 Co-frequency signal separation In order to improve frequency occupancy and spectrum efficiency, radio frequencies are utilized in different domains, including frequency domain,
47、 time domain, amplitude domain, modulation domain, space domain, etc. Traditional monitoring devices can separate different FDMA signals easily, but it can be difficult to monitor co-frequency signals, for example, co-frequency interference, TDMA, CDMA and SDMA signals. Future spectrum monitoring sy
48、stem using co-frequency signal separation technology can monitor signals working in different domains with ease. Just like a filter can separate signals working at non overlapping frequencies, beam-forming antenna can separate signals coming from different directions. Advanced technologies, such as
49、strong-signal recovery, independent component analysis, spatial spectrum based beam-forming, and space-matched filtering may be used to separate signals working in different domains according to their different features. 3 Multi-mode location (based on a combination of location technologies) Signals in different domains carry related location information. Correspondingly, such location information can be extracted by related technology or computer processing algorithms used in signal location. Digital signal processing (DSP) and net
