Presentation on theme: "A lightweight, ultra-wideband polarimetric W-band radar"— Presentation transcript:
1A lightweight, ultra-wideband polarimetric W-band radar with high resolution for environmental applicationsRichard Holliday, Matt Rhys-Robertsand Duncan A. WynnQ-par Angus LtdBarons Cross LaboratoriesLeominsterHerefordshire HR6 8RSUKTel: +44(0)Fax: +44(0)Good afternoon ladies and gentlemen. My name is Dr Duncan Wynn. I am a Principal Scientist at a UK company known as Q-par Angus Ltd. Q-par Angus is a UK based company with around 35 employees and located on the England/Wales border. We have UK List X status and ISO For almost 40 years we have concentrated on the design and manufacture of specialist RF systems, antennas, millimetre wave components, frequency selective surfaces etc. Well that’s the sales pitch over. My colleagues on the exhibition stand and myself would of course be delighted to talk with you further. However, I am going to talk today about some of our recent work involving a lightweight, ultra-wideband polarimetric W-band radar with high resolution for environmental applications.EuRAD 2006European Radar ConferenceManchester, UK14th September 2006
2Outline Background Review of suitable radar waveforms Ultra-wideband (UWB) and random signal radarCross-ambiguity function analysisOutline descriptionTransmitterBinary random phase codingRF spatial power combinerAntennaProcessingPerformanceApplicationsSummaryI am going to provide a introduce the talk with brief background to the radar. A review of suitable radar waveforms was undertaken that led into aspects of ultra-wideband and random signal radar. I will outline some of the characterteristics of the radar that was disclosed by a cross-ambiguity function analysis. I will then describe the radar in terms of basic transmitter, antenna and processing stages. I will briefly mention the binary random phase coding that applied and the RF spatial power combiner stages before giving an indication of the performance and applications before concluding with a summary. Hopefully there should be time at the close for any questions.
3BackgroundA major threat to global stability is the change in the Earth’s climateExtremes of heat and drought, storms, wind, rain and more intense coldUnpredictable environmental behaviour - Temperature rises are likely to be non-uniform across the globeUncertainty of the impact is incorporated into long-term national and international decision-making - reflected in environmental standards and targets including :- protection of people, homes and business from risk of flood - ensure availability of suitable water for drinking and bathing - prevention of destruction of natural habitats and extinction of animal species - There is a very wide breadth of environmental issues …..I begin by pointing out that a major threat to the stability of environment is the change in the Earth’s climate.This is manifested by more extremes in our weather. Extremities in temperature and water in terms of drought, storms, wind and floods. With such unpredictable environmental behaviour, temperature rises are likely to be non-uniform across the globe. The uncertainty of the impact is included into decision making at national and international levels. This is reflected in environmental standards and targets that include : protection measures in the event of flood, to ensure the availability of safe water and the prevention of destruction of natural habitats. I have only broached just a few amongst a very extensive breadth of environmental issues.
4BackgroundBetter understanding of the complex interaction between the Earth’s surface and atmosphere is essentialAccurate descriptions of local and regional surface features and associated phenomena with timely monitoring are vitalThere are disadvantages associated with existing methodssuch as LIDAR and airborne/space-based SARMillimetre wave radar offers an all-weather remote sensing solutionwith the benefits of compactness and high resolution -Electromagnetic compatibility and tolerance to EMIwith reduced Size, Weight and Power (SWAP)are becoming more affordableA better understanding of the processes and complex interaction between the Earth’s surface and atmosphere is essential if we are to help ameliorate the unwanted effects. Accurate descriptions of features and phenomena are vital together with timely monitoring by remote measurement. This is addressed by existing methods such as Laser Radar (LIDAR) and synthetic aperture radar from airborne and satellite-borne platforms. However. both LIDAR and SAR have shortcomings.LIDAR does not offer all-weather performance and can have ineffective measurement performance in heavy rain, fog, low cloud, mist or even light drizzle. Performance is degraded at high Sun angles and LIDAR can suffer from extraneous reflections or glint. Furthermore, the operating costs can be quite prohibitive, in excess of £10,000 per hour. LIDAR has a lack of foliage penetration or FOPEN.SAR offers all-weather capability but has relatively high capital and operating costs. Furthermore, SAR is prone to distortions, obscuration and RF interference. The wide spectrum allocations at millimetre wavelengths support a high tolerance (if not immunity) to electromagnetic interference (EMI) and are compatible with other operators (EMC).Portability enables operation from beneath attenuating media such as foliage, vegetation and low cloud. There is the question of latency with data often not being processed where it is needed. Time dependent phenomena (such as waves with correlation times of less than a second) are not accurately resolved. There are further questions regarding availability and ownership of data.Millimetre wave radar has the benefit of compactness. This imparts the ability to form very narrow beams so as to resolve small objects with a lightweight sensor that is capable of portable operation in tight spaces. The reduction in costs that is achieved by the use of COTS components ensures that this technology is becoming increasingly affordable.
5Review of radar waveforms: Uncoded CWLinear FMCWPulse compression waveformsPhase shift / frequency shift codingCoherent pulse trains/pulsed DopplerUltra wideband (UWB) and Random Signal Radar (RSR)Noise-like / chaotic waveformsSine plus noise FMCWNoise FMCWCompound noise FMCWDual-random quasi-CWCorrelation RSR / spectrum analysis RSR / anti-correlation RSRrandom phase codedRandom pulse radarBinary random phase codedA technical review of radar waveforms discounted the use of uncoded CW waveforms because of their inability to measure target range. Linear FMCW has strong coupling of range and velocity and it is difficult to synthesise ultra- wide band FMCW waveforms. Pulsed Doppler waveforms can be used to measure range and velocity simultaneously over a limited unambiguous range and Doppler offset frequencies. The pulse repetition rate can be contrived to match the range and radial velocities of expected targets. However, pulsed waveforms are peak RF power limited and suitable RF sources become increasingly unaffordable at shorter millimetre wavelengths.The term random signal radar (RSR) refers to radars whose transmitted waveform is random or random-like in contrast to conventional CW, pulse, FM or FMCW radars. Several kinds of RSR have been implemented including noise FMCW, compound noise FMCW, dual-random quasi-CW, random phase coding and binary random phase coding. RSR waveforms have excellent EMI/EMC capability. For the purpose of this paper, I am going to concentrate upon a class of RSR waveforms known as binary random phase coded waveforms.
6Time domain sequence of binary random phase coded CW This is an illustration of a binary random phase coded signal that has been implemented within this radar. The signal has a carrier frequency that is typically 94 GHz. You will note that the phase of the signal is randomly delayed by pi radians (180 degrees). At a chip rate of 3 GHz the time interval between successive chips is 0.33 ns.Time domain sequence of binary random phase coded CWfc=94 GHz, chip rate=3 GHz
7Power spectrum of binary random phase coded CW (unfiltered) This illustrates the RF power spectrum of the previous sequence of binary random phase coded CW. An unfiltered spectrum is shown without RF bandwidth limitations of the transmitter or receiver stages such as waveguide nor the finite bandwidth of the I/Q mixers. The RF bandwidth of WR-10 rectangular waveguide for dominant mode runs from 75 to 110 GHz. RF signals that are below cut-off below 75 GHz are severely attenuated. The RF bandwidth of the I/Q mixer stage is 2 GHz centred in this case upon 94 GHz. The RF power spectrum of the receiver response therefore extends from 75 to 98 GHz.Power spectrum of binary random phase coded CW (unfiltered)fc=94 GHz, chip rate=3 GHz
8Cross-ambiguity function performance analysis : For a complex signal,where is the complex envelopeThe cross-ambiguity function is defined aswhereSorry for the mathematics so late in the day but it is essential and it can be taken away and digested at your leisure.The signal filtering and processing that is incorporated in a radar receiver is normally a very close approximation to that required to perform matched filtering of the received waveforms from targets and unwanted clutter. The ambiguity function is an established tool based on the assumed use of matched filter reception. It is normally used to make an assessment of radar system performance, although for more accurate subsequent analysis a cross- ambiguity function should be used.Basically, the cross-ambiguity function is the time-reversed complex envelope for the output of a filter that is matched for a signal but receives a signal with a frequency shift imposed upon it. The time of the arrival of the signal is considered to be unchanged by the frequency shift.The magnitude of the function at any point in the plane is a direct indication of the interference that will be encountered at the peak output time for the desired signal when a signal of the same magnitude but with offset and relative time delay is also received. Hence, the ambiguity surface reveals the degree of sensitivity that the radar processor has to signals arriving with different delays and frequency offsets, and of course these signals can be attributed to targets and clutter with different ranges and velocities. The trick of waveform design is to tailor a waveform that not only matches the desired target response but also maximises the statistical distance to unwanted responses. This optimal cross-ambiguity response often resembles a “thumbtack” in shape.The time-reversed complex envelope for the output of a filter that is matchedfor a signal but receives the signal that is time-delayed with a frequency shiftimposed upon itThe time of arrival of the signal is considered to be unchanged by the frequencyshift.
9Cross-ambiguity function performance analysis |(,)|3.7 GHz0 ns+18.5 ns(2.77m)Doppler offsetfrequency (Hz)Delay (ns)Random signal waveforms can be shown to have a “thumbtack” cross- ambiguity function with excellent range-Doppler resolution. The cross- ambiguity response of a binary random phase coded waveform is shown.0 Hz-18.5 ns(-2.77 m)Cross-ambiguity function for binary random phase modulated waveform:94 GHz carrier with 3 GHz chip rate
10Doppler offset frequency spectrum and cross correlation responses Cross-ambiguity function performance analysisCross correlation (dB)-20S(f) (dB)-20-40-40-60-60Delay (ns)-80Doppler offset frequency (Hz)Mean square sidelobe level (MSSL)supports Doppler sidelobe suppression> 21 dB rmsVelocity (radial) resolutionbetter than m.s-1Mean square sidelobe level (MSSL)supports range sidelobe supppression> 20 dB rmsRange (along) resolution (unprocessed)better than mOrthogonal cuts through the cross-ambiguity function provide measures of the Doppler offset frequency and also the cross-correlation response. The use of binary random phase coded modulation with a 3 GHz chip rate results in a range resolution of better than 5 cm at 94 GHz. This is achievable with readily available commercial off-the-shelf (COTS) components. The exploitation of advanced signal processing techniques such as super-resolution enhances this further to better than 10 mm. This represents an effective RF bandwidth of greater than 15 GHz with a fractional RF bandwidth in excess of This approaches the informal definition of UWB radar that I mentioned earlier. Comparison of random phase coding and random binary phase coding by analysis of RF power spectrum and cross-ambiguity functions show similar characteristics. Importantly, UWB binary random phase coding is much easier to implement and has therefore been adopted in this radar design.Doppler offset frequency spectrum and cross correlation responses
11RF phase modulated output Transmitter: Binary random phase modulatorOptically activated waveguide-based millimetre wave phase modulatorwith sub-nanosecond switching speedBinary random phase modulatorPerformanceMillimetre wave (W-band)Wide tunable bandwidth GHzWide instantaneous bandwidth > 4 GHzHigh switching speed > 3 GHzLinear passive RF componentLow insertion loss (< 0.5 dB)High RF power handling (typ. > 1w mean)Millimetre waveguide compatibleConstant amplitudeRF phase modulated outputModulatorRF input3 GHz< 0.3 nsThe resolution of the received signal is directly dependent upon the RF bandwidth of the transmitted waveform. This is influenced by the manner of the implementation of binary random phase coding. The ultra wideband has been achieved by the use of an optically activated waveguide-based phase modulator. This is a passive device with a switching time of less than 0.3 ns and an RF insertion loss of under 0.5 dB. The device is subject to patent proceedings but will be described fully in due course.A, B and C are amplitude constantsare phase constants
12graded gap Gunn GaAs diode array Transmitter: RF spatial power combinerInput90 – 98 GHz>100 mWOutput90 – 98 GHz>500 mWfundamental modewaveguide arrayBinary random phase coded waveforms have low peak to mean RF power levels and are compatible with solid-state RF sources such as Gunn diodes. This emphasises the significance of spatial RF power combining that is being developed within this programme to provide a low cost method of reliable RF generation with low noise, particularly close to carrier phase noise, at millimetre wavelengths. A schematic of this technique is illustrated. A planar array of low power (and relatively low cost) GaAs Gunn diodes waveguide is installed within a WR-10 waveguide mount. DC power supplied to each Gunn diode is stabilised and must be carefully controlled. RF from a reference diode is injected into the array to phase lock the Gunn diodes. A coherent output RF power level in excess of 500mw (mean) from an array of eight Gunn diodes at 94 GHz can be obtained by this technique. A more detailed description will be published later.second harmonicgraded gap Gunn GaAs diode arrayovermoded waveguide
13Antenna Twin 0.75 m diameter reflectors with Cassegrain sub-reflectors spun Aluminium and precision machine-finishedcircularly symmetric scalar feed with WR-10 waveguide transitionplane polarisation - Tx (V, H, arbitrary polarisation planes)- Rx (simultaneous orthogonal polarisation planes)GHz RF bandwidth (tunable)Radiation characteristics at 94 GHzInstantaneous RF bandwidth > 4 GHzCo-polar directive gain > 54 dBi3 dB beamwidth degreesMean-square sidelobe level (MSSL) better than –19 dBCross-polar response better than 30 dBRF isolation >50 dB Efficiency > 55 %W-band scalar feedThe antenna is comprised of two 0.75m diameter reflectors for transmit and receive channels with Cassegrain sub-reflectors and circularly symmetric scalar feeds for each. The reflectors are mounted side by side upon a modular 3-axis positioner. Full polarisation capability in orthogonal and arbitrary planes is provided over a tunable RF bandwidth extending from 75 to 110 GHz with an instantaneous RF bandwidth of 4 GHz. The directive gain of each reflector configuration is > 54 dBi with an efficiency of >55%. The RF isolation between transmit and receiver channels is better than 50 dB. A lap- top PC provides a modular antenna positioner with timely control commands that direct the transmit and receive beams of the antenna over 360 degrees in azimuth and ±60 degrees in elevation.Modular 3-axis positioner
14ProcessingThe radar is comprised of four main stages: Antenna, transceiver, controller and display. The spatial RF power combiner produces a coherent CW source in excess of 0.5w. Binary phase coding is imposed by the bi-phase modulator at a rate of 3 GHz and then fed into the transmitter antenna. The received signals are cross-correlated with a delayed replica of the transmitted signal contained within a reference channel to implement complex matched filtering. The amplitude, phase and Doppler offset frequency are measured between complex received signals in both vertical and horizontal polarisation channels and a reference channel. The phase difference between multiple transmitted signals is measured to determine the slant range of the scattering object. Integration of a large number of signals provides sufficient energy for reliable target detection and high resolution imaging.
15Processing Graphical User Interface Sony Vaio lap-top PC PCG-GRT896HP 6-channelanalogueto digital converterNational SemiconductorADC08DUSBSony Vaiolap-top PCPCG-GRT896HPUSBUSBAttitude Heading ReferenceWatson IndustriesAHRSserial portGlobal Positioning SystemGarminGPSserial portSignal processing is hosted upon a lap-top PC and a user-friendly GUI has been written in LabView. The availability and low cost of modern high speed analogue to digital converter technology brings advaned signal processing within affordable reach of this radar. The attitude and heading of the radar, more specifically the antenna, are derived by a COTS AHR unit from Watson Industries. The geographical location of the radar is obtained from the ubiquitous GPS unit from Garmin. The radar has a “plug and play” architecture that offers surface mapping, velocimetry, bathymetry, non- cooperative target recogition as well as BIT and calibration modes.serial portModular 3-axisantenna positioner
16Performance : Signal to noise power ratio vs range A maximum range of between 1km and 10 km is predicted for mapping operations from surface based locations in representative environments. The graphs present performance predictions from a validated computer model that includes atmospheric absorption and multipath. The antenna input power is w. Radar sensitivity at millimetre wavelengths is vulnerable to the vagaries of the weather, principally atmospheric absorption. The unwanted effect of multipath propagation at low altitude radar locations is mitigated by the use of multiple frequencies and UWB. Clearly, the integration of return signals over the dwell time can improve the maximum range at which radar performance is effective although this is strictly dependent upon the statistical stationarity of the scattering environment. In the case of many environmental applications this can be of the order of seconds.7ms dwell time1s dwell time
17Applications - Environmental Surface mapping of local land and water levels- observation and measurement of surface and near-surface water movements- measured water ripples can be resolved to infer flow rates, rates of change, flow direction and location of below-surface featuresManagement of water resourcesdrainage and irrigation planningFlood defence planning- Definition of flood plane areas- Monitoring 24 hour / 7 day with automatic triggering upon user-specified events to provide warning of flood escalation- Effective and timely deployment of limited and valuable defences/barriers- Planning, design and effective deployment of flood defence resources and structures such as bridge constructions, sandbags etcThe primary application of this radar is the observation of surface and near- surface movements of water. The radar maps the physical interface between land and water surfaces with timely and remote measurement of the magnitude and direction of flow, with rates of change. These can be accurately measured and resolved with an all-weather capability to provide a low cost monitoring system. Data can be overlaid upon physical topological and terrain maps. The characteristics of measured water ripples can be used to infer below-surface features. Conventional microwave radar has only offered rather coarse resolution that is inadequate to enable this phenomena to be exploited.This capability has potential applications in a wide variety of environmental applications such as management of water resources and flood defence planning.
18Applications - Environmental Pollution detection, localisation and monitoring- pollution in the form of particulate debris or paints,oilscausing changes of water surface characteristicsBathymetry- measurement of water current flow vectors (depth, water magnitude,direction, flow rate and water surface topology)for monitoring and prediction in rivers, estuaries and inland waterwaysAgricultural crop monitoringFish farming –salmon / trout fishing / deployment of fish spawnMonitoring of iceberg / “bergy bits” and glacier movementsTraffic monitoring (speed, classification, traffic density, direction)Further environmental applications include pollution detection, bathymetry, agricultural crop monitoring, fish farming, monitoring of iceberg, “bergy bits”, glacier movements and traffic monitoring.
19Summary Specifically designed for environmental applications An UWB polarimetric millimetre wave 94 GHz radarthat uses binary random phase coding to provide a lightweight,all-weather remote measurement capability with high resolutionis under development by Q-par Angus LtdSimplified radar architecture –readily extended to other applications via “plug and play”High performance at relatively low cost by exploiting COTS componentsCompleted radar will be demonstrated operating in a proof-of-conceptsurface mapping mode in a representative environment later in 2006In summary, this radar has been designed specifically for environmental applications. In particular, surface mapping with high resolution from surface sites.The radar is an UWB, polarimetric millimetric sensor that uses binary random phase coding to offer a lightweight, all-weather remote measurement capability with high resolution.The radar has a simplified architecture that can be readily extended to other applications via “plug and play”.We believe the radar offers high performance at relatively low cost by exploitation of COTS components.The radar will be demonstrated as a proof-of-concept in a surface mapping mode in a representative environment later in 2006.
20Acknowledgements UK DTI Advantage West Midlands UK Natural Environment Research CouncilUniversity of WorcesterDr John Fagg (Head of Dept. of Geography, Applied Sciences and Archaeology)e2V Technologies LtdNigel Priestley and Martin WestmorelandUniversity of BirminghamProf. Peter Hall and Dr Edward HoareWe would like to acknowledge the financial support of UK DTI, Advantage West Midlands and the Natural Environment Research Council.The help and support of our numerous friends and colleagues throughout UK academia and industry is also acknowledged.
21Thank youAny questions ?Thank you. Any questions ?