Technical Challenges to Spectrum Sharing Between Radars and Non-Radar (Communication) Systems 7th Annual ISART Boulder, Colorado 1 March 2005 Frank Sanders.

Slides:



Advertisements
Similar presentations
Envelope Detector Conventional DSB-AM signals are easily demodulated by an envelope detector It consists of a diode and an RC circuit, which is a simple.
Advertisements

Factors to Consider for Intersystem EMC ITU-R Radar Seminar Geneva 24 September 2005 Frank Sanders Chief, ITS Telecommunications Theory Division, U.S.
New Radar Technology MHz Band
1 Ground Based Meteorological Radars Presented By: David Franc NOAAs National Weather Service September 2005.
Noise Lecture 6.
Chapter Six: Receivers
Introduction to Ultra WideBand Systems
Fundamentals of Data & Signals (Part II) School of Business Eastern Illinois University © Abdou Illia, Spring 2015 (February18, 2015)
7. Radar Meteorology References Battan (1973) Atlas (1989)
Interference Effects and Interference- Limit Criteria for Radar Receivers IEEE Electromagnetic Compatibility Conference Ft. Lauderdale, FL, 26 July 2010.
Doc.: IEEE p Submission September 2008 Carl Kain, Noblis (USDOT) Response to Comments on Optional Enhanced ACR and AACR Values Date:
Assessment. Schedule graph may be of help for selecting the best solution Best solution corresponds to a plateau before a high jump Solutions with very.
System Design for Cognitive Radio Communications
Overview.  UMTS (Universal Mobile Telecommunication System) the third generation mobile communication systems.
Integrated Circuits Design for Applications in Communications Dr. Charles Surya Department of Electronic and Information Engineering DE636  6220
Chapter 2: Fundamentals of Data and Signals. 2 Objectives After reading this chapter, you should be able to: Distinguish between data and signals, and.
1 Chapter 2 Fundamentals of Data and Signals Data Communications and Computer Networks: A Business User’s Approach.
Chapter Five: Transmitters. Introduction In spite of the wide variety of uses for transmitters, from toys to broadcasting transmitters, there are only.
Radar: Acronym for Radio Detection and Ranging
COMMUNICATION SYSTEM EECB353 Chapter 2 Part IV AMPLITUDE MODULATION Dept of Electrical Engineering Universiti Tenaga Nasional.
RADAR SPECTRUM ENGINEERING CRITERIA (RSEC) A Comprehensive Review
Radar 101 Rick Reaser May 19, 2010.
Introduction.
Proposed revision of ITU-R Recommendation providing EESS (active) Performance and Interference Criteria May 13, 2015 Committee On Radio Frequencies Thomas.
Interference ,Trunking and GOS
July 2005 Gregg Levin, BridgeWave Communications Slide 1 doc.: IEEE /433/r0 Submission Project: IEEE P Working Group for Wireless Personal.
RF Noise and Radio-Astronomy. A Brief History of Radio Astronomy 1860's Maxwell develops equations that govern electromagnetic (EM) waves. 1860's-1930's.
Device Noise Two figures of merit for noisy devices
Using TSB-88 Region MHz Using TSB-88 to insure frequency usage does not cause interference in Region 5.
1 RLAN and C Band Weather Radar Interference Studies* Paul Joe 1, John Scott 1, John Sydor 2, Andre Brandao 2, Abbas Yongacoglu 3 1 Meteorological Service.
10. Satellite Communication & Radar Sensors
Meteorological Spectrum Issues- Outcome of the 2003 World Radiocommunication Conference Presented By: David Franc National Weather Service December 2,
Airborne RLAN and Weather Radar Interference Studies at C Band Paul Joe 1, Frank Whetten 2, John Scott 1 and Dennis Whetten 2 1 Environment Canada 2 The.
Amplitude Modulation 2.2 AM RECEIVERS
Project: IEEE P Working Group for Wireless Personal Area Networks(WPANs) Submission Title: Link Budget for m Date Submitted: 5 March 2012.
CHAPTER 2 Amplitude Modulation 2-3 AM RECEIVERS. Introduction AM demodulation – reverse process of AM modulation. Demodulator: converts a received modulated-
SFCG Report to CEOS Frequency Protection for EO Satellites 1 23 rd CEOS Plenary I Phuket, Thailand I 3-5 Novenber 2009.
1 ITU–R Task Group 1/8 The Bush Administration’s Commitment to Implementing New Technologies Michael D. Gallagher Assistant Secretary for Communications.
CSMAC Spectrum Sharing Sub- Committee Discussion Materials March 2012.
Cognitive Radio for Dynamic Spectrum Allocation Systems Xiaohua (Edward) Li and Juite Hwu Department of Electrical and Computer Engineering State University.
1 RF (Radio Frequency) technology BASIC TELECOMMUNICATIONS.
CHAPTER 2 Amplitude Modulation 2-3 AM RECEIVERS. Introduction AM demodulation – reverse process of AM modulation. Demodulator: converts a received modulated-
EumetCal Examples.
Detection and the impact of man-made interference on EES (passive) operations Thomas vonDeak NASA Spectrum Management Office 28-October-2004 “Active Protection.
1 U.S. STUDY RADAR EMISSION MASKS A Review of the Radar Spectrum Engineering Criteria (RSEC) ROBERT L. HINKLE United States Department of Commerce National.
AM RECEPTION Introduction
NPOESS Transmission Frequency Issues Satellite Direct Readout Conference for the Americas 11 December 02 David F. McGinnis.
1 ITU–R Task Group 1/8 “Bush Administration’s Commitment to Responsible Development and Deployment of Ultra Wideband” Michael D. Gallagher Acting Assistant.
Spectrum Sensing In Cognitive Radio Networks
Doc.: IEEE /0018r0 Submission March 2006 Steve Berger, TEM ConsultingSlide 1 Exploration of Structure for IEEE P Recommended Practice for.
5 th ITU Green Standards Week Nassau, The Bahamas December 2015 ITU-R studies on Climate Change Vadim Nozdrin, Study Group Counselor, Radiocommunication.
Assessment of Ultrawideband and Global Positioning System Compatibility Randy Hoffman and Mike Cotton ISART March, 2002.
Committed to Connecting the World March 2011 Geneva, March 2011 Presentation of the Recommendation ITU-T K 100: Presentation of the Recommendation.
Meghe Group of Institutions Department for Technology Enhanced Learning 1.
RADIO RECEIVERS.
Signal Analyzers. Introduction In the first 14 chapters we discussed measurement techniques in the time domain, that is, measurement of parameters that.
Frequency Management Office 1 The Space Frequency Coordination Group (SFCG) ESF WorkshopCagliari, 29 October, 2004.
Doc.: IEEE /455r0 Submission July 2002 Mika Kasslin, NokiaSlide 1 Harmonized Standard from BRAN#29 Mika Kasslin.
A study on the coexistence between Direct Air to Ground Communication (DA2GC) and Radars in the 5 GHz band Peter Trommelen, Rob van Heijster, Arne Theil.
Communication Link Analysis Pranesh Sthapit Chapter 5.
By. Jadhav Avinash J Roll no - 2K13E11. Reference: Hewlett Packard Agilent Technology Wikipedia GwINSTEK.
INTRODUCTION. Electrical and Computer Engineering  Concerned with solving problems of two types:  Production or transmission of power.  Transmission.
FCC Regulations for Spread Spectrum Devices
An-Najah National University
Future Studies (Futurology)
Chapter Five: Transmitters
Fundamentals of Data & Signals (Part II)
Submission Title: Link Budget for m
Chap II. Radar Hardware (PART 1)
Signal Transmission and Channel Bandwidth
Presentation transcript:

Technical Challenges to Spectrum Sharing Between Radars and Non-Radar (Communication) Systems 7th Annual ISART Boulder, Colorado 1 March 2005 Frank Sanders Chief, ITS Telecommunications Theory Division, U.S. Department of Commerce, NTIA 325 Broadway, Boulder, CO Institute for Telecommunication Sciences – Boulder, Colorado

Introduction Proposals have been made in recent years for operation of communication systems in radiolocation (radar) bands. Some of these proposals have originated from non-US Administrations in the International Telecommunications Union Radiocommunication Sector (ITU-R). These proposals represent a change from the historical approach of allocating radar and communication systems in separate bands. This segregation has been due to perceived electromagnetic incompatibility between the radar and communication services. A variety of technical justifications have been made for spectrum sharing between radars and non-radar communication systems. This talk addresses the technical challenges of such sharing, based on results of spectrum surveys and interference studies.

Institute for Telecommunication Sciences – Boulder, Colorado Justifications provided for sharing 1) Radar systems make little use of existing spectrum allocations; 2) Radar receiver performance is inherently robust against interference from signals of other, non-radar services; 3) To the extent that sharing might cause interference to radars, it might be accommodated on some sort of statistical basis; 4) If spectrum sharing were to cause intolerable interference to radars, then spectrum could still be shared but communication devices would have to sense radar signals and avoid frequencies being used locally by radars.

Institute for Telecommunication Sciences – Boulder, Colorado Evaluation of these hypotheses… …could make available opportunities for new patterns of spectrum use. But careful technical consideration needs to be done to test these concepts. We will consider the four hypotheses in order…

Institute for Telecommunication Sciences – Boulder, Colorado Measured spectrum utilization of radars Radars usually consist of high power transmitters operating in concert with very sensitive receivers. EIRP transmit levels are often more than 1 GW, while receiver noise figures are often only a few decibels above the theoretical thermal noise limit. MissionPulse width (us) Pulse rate (Hz) Peak power (MW) Antenna gain (dBi)PeakEIRP (GW) Short range air search Long range air search Maritime navigation Weather Representative radar emission parameters as a function of mission.

Institute for Telecommunication Sciences – Boulder, Colorado Measured spectrum utilization of radars, continued -Some ITU-R Administrations have indicated that radar emissions are not observed to produce much occupancy during spectrum surveys. Does this mean that radars therefore may not be utilizing some spectrum allocations to a great extent? -Published NTIA spectrum surveys do show significant spectrum utilization by radars on an ongoing basis at every location in the US where such measurements have been done (for example, in Denver, San Diego, Los Angeles, and San Francisco).

Institute for Telecommunication Sciences – Boulder, Colorado Measured spectrum utilization of radars, continued San Diego, California measured radar utilization of L-band Maximum Mean Minimum

Institute for Telecommunication Sciences – Boulder, Colorado Measured spectrum utilization of radars, continued San Diego, California measured radar utilization of C band Maximum Mean Minimum

Measured spectrum utilization of radars, continued Why do some spectrum survey results not show significant usage by radars whereas the NTIA results do show substantial usage? One likely reason is that radar emissions cannot be effectively observed with conventional swept-frequency techniques. Instead, radars need to be observed with stepped-frequency algorithms operated under computer control. NTIA spectrum survey reports and a recent NTIA Report on RSEC measurement procedures describe this methodology. See also ITU-R New Recommendation M Wide dynamic range RF front ends with automatically controlled, tunable bandpass filter rejection are also needed. Many surveys do not include these algorithmic and hardware features. Institute for Telecommunication Sciences – Boulder, Colorado

NTIA radar meas. front-end

Institute for Telecommunication Sciences – Boulder, Colorado Radar receiver performance in the presence of interference In NTIA studies that have been performed in support US Administration positions in ITU-R, radars have been intentionally subjected to low levels of interference from a variety of waveforms. Protocols: A radar selected for testing has its receiver disconnected from the antenna. In place of live target returns, test targets generated by NTIA hardware are injected into the radar receiver. The power level of the targets is adjusted so that the probability of detection of these targets is as close as possible to 90% (P d =0.9). Interference is injected with a selected modulation. Target losses are counted as a function of interference power level relative to radar inherent receiver noise level (I/N).

Institute for Telecommunication Sciences – Boulder, Colorado Radar receiver performance in the presence of interference Example radar plan position indicator (ppi) display during interference testing. The bright wedge is a time-lapse effect of the radar ppi scan line.

Institute for Telecommunication Sciences – Boulder, Colorado Radar receiver performance in the presence of interference Equipment room of a radar stationExamination of a radar receiver circuit card during interference testing

Radar receiver performance in the presence of interference Example data showing target losses as a function of I/N ratio for a search radar.

Radar receiver performance in the presence of interference Example data showing target losses as a function of I/N ratio for a maritime search radar. Pulsed signals representative of other Radar emissions. Communication-type signals

Institute for Telecommunication Sciences – Boulder, Colorado Radar receiver performance in the presence of interference Radar typeCW interference QPSK interference Pulsed interference Air search -10 dB dB Maritime navigation and search -10 dB dB Weather surveillance -12 dB dB I/N ratios at which measurable target losses begin to occur, based on results of measurements to date and grouped by radar mission.

Radar receiver performance in the presence of interference Do target losses only occur at the edge of radar coverage? Interference at a given I/N ratio is observed to cause decreased probability of detection for targets that are within some number of dB (X) of radar inherent noise. This condition for target loss is not dependent upon range, per se. To the extent that target returns (echoes) are weaker for more distant targets than for closer targets, losses in detection would correspond somewhat to target range. But target cross sections are not all equal… …some targets can be both weak and close. Therefore target losses cannot be translated into nothing more than range reduction. The possibility of loss of weak targets at close ranges does exist. Weak targets are not necessarily unimportant targets. Institute for Telecommunication Sciences – Boulder, Colorado

Radar receiver performance in the presence of interference Target losses at low I/N levels of interference are insidious. At low I/N levels, overt indications of interference do not seem to occur. Targets just fade out. Thus it is difficult to establish that such interference is occurring, and to what extent targets are being lost in this situation. Institute for Telecommunication Sciences – Boulder, Colorado 10 targets with no interference present All targets lost due to low-level interference. But no overt indication that Interference is occurring.

Radar receiver performance in the presence of interference Example of ppi screen display effects of high-level interference (such as dramatized in movie portrayals). Institute for Telecommunication Sciences – Boulder, Colorado

Technical consideration of a statistical basis for radar interference Some Administrations in ITU-R are asking for consideration of an approach in which radar receivers experience interference for specified amounts of time at specified levels. This is called the ‘statistical approach.’ It has been argued by these Administrations that, since radars fail to detect targets at various times and for various reasons (such as, for example, from solar noise when the sun falls into the main beam of a search radar), then radar operations should be able to lose additional targets due to radio interference from intentional emissions. This argument seeks to equate the impact and effects of environmental noise with possible impacts and effects of radio interference from intentional emissions. Institute for Telecommunication Sciences – Boulder, Colorado

Technical consideration of a statistical basis for radar interference This approach raises at least two important questions: 1)How many targets may acceptably be lost under any given set of circumstances? 2)How can communication systems coordinate activities with radar operations to assess the rate at which targets are being lost at any given moment, and how can target losses be correlated with communication system operations?

Institute for Telecommunication Sciences – Boulder, Colorado Technical consideration of a statistical basis for radar interference So far, no ITU Administration has identified criteria for acceptable loss of radar targets. It is difficult to know, a priori, whether any given radar target is sufficiently unimportant to not need to be observed and tracked. Even if some criteria could be agreed upon, the technical requirement would exist for coordination of interference to radar receivers. Communication systems might have to somehow know where local radar operations are occurring and adjust operations accordingly. Or, radar sensors might have to know what targets are being lost due to interference, and have a way to communicate that information to the pertinent communication systems. Such technical implementations are not anticipated in the near future.

Institute for Telecommunication Sciences – Boulder, Colorado Mitigation of interference by avoiding radar frequencies This approach is called ‘dynamic frequency selection.’ The concept is for communication transmitters to sense radar signals (if any) on the communication systems’ frequency, and then move operations to another frequency to de-conflict the situation. No theoretical reason has been shown why this approach cannot work; it is possible in principle. But it needs to be tested. NTIA, other Government agencies, and industry are currently working together to test this technology in the 5 GHz part of the spectrum in the US. DFS depends upon the ability of a communication system to sense radar signals and then avoid/evacuate the conflicted frequencies.

Representative example of an algorithm to listen for radar signals and avoid frequencies being used locally; other approaches can be used. But a significant fraction of time tends to be required to listen for radar signals.

Institute for Telecommunication Sciences – Boulder, Colorado Summary -Radars are observed to significantly occupy their allocated spectrum bands, at least at surveyed locations in the US. -In tests performed to date, radars have typically begun to lose targets in the presence of interference that is at an average level of about -10 dB I/N. (That is, at 10 dB average power below radar receiver inherent noise.) -Proposals to allow interference on a statistical basis are in a very early stage; the technical feasibility of this approach remains to be determined. -An alternative approach, dynamic frequency selection, may be feasible. It requires substantial amounts of time for listening. The concept is undergoing tests at this time. -Effects of low-level interference are insidious because targets fade away without overt indications of interference on radar displays.