1. Introduction
In addition to military applications for target recognition and tracking (Brookner 2008), phased-array radar (PAR) technology has recently been successfully introduced to the weather community. The nation’s first phased-array weather radar, the National Weather Radar Testbed (NWRT) operating at a wavelength of 9.38 cm, was developed in Norman, Oklahoma, through a joint effort of a government–university–industry team (Zrnić et al. 2007). The NWRT demonstrated that its pulse-to-pulse electronic beam-steering capability enables meteorological measurements that are as accurate in shorter storm surveillance times as those achieved with a conventional dish antenna with a mechanically steered beam. The shorter surveillance times result in faster data updates and offer the capability to observe detailed evolutions of severe storm phenomena (Yu et al. 2007; Heinselman et al. 2008). The NWRT also has a hybrid capability to both mechanically and electronically steer the beam. This capability has allowed multipattern measurements of the same meteorological volume to successfully mitigate both stationary and moving clutter (Zhang et al. 2011). Furthermore, the NWRT uses an antenna from the AN/SPY1-A monopulse radar of the Aegis system (Sherman 1988), which has sum and difference channels; these can be combined to implement a spaced-antenna interferometry (SAI) technique for crossbeam wind measurement (Zhang and Doviak 2007) and subvolume inhomogeneity/object detection (Zhang and Doviak 2008). It has been also theorized that the AN/SPY1-A auxiliary channels could support the implementation of adaptive clutter cancellation techniques (Le et al. 2009).
While PAR technology has recently received widespread attention in the weather community, weather radar polarimetry has matured to a point that it is being implemented on the national network of Weather Surveillance Radar-1988 Doppler (WSR-88D) radars (Doviak et al. 2000) using its conventional dish antenna. Polarimetric radar provides multiparameter measurements that reveal detailed microphysics of storms in addition to hydrometeor classification, accurate precipitation estimation, and improved weather nowcasts. Therefore, the weather community and the nation expect that the future multifunction phased-array radar (MPAR) will retain all of the capabilities of the polarimetric WSR-88D (Smith et al. 2008). It is the polarimetric capability that the second MPAR symposium (online at http://www.ofcm.noaa.gov/mpar-symposium) identified as the most challenging technical issue that the community is facing.
The challenge comes from the fact that highly accurate polarimetric radar measurements are required to provide meaningful information. However, biases inherent to planar polarimetric phased-array radar (PPPAR) exist and can be larger than the intrinsic values if the beam is directed away from the planar array’s broadside. For example, the intrinsic ZDR values range only from about 0.1 dB for drizzle and dry snow to 3–4 dB for heavy rain and large drops. Thus, it is desirable that the measurement error for ZDR be of the order of 0.1 dB (Zhang et al. 2001; Brandes et al. 2003). However, the ZDR bias for a PPPAR can be a few decibels (Zhang et al. 2009a). Hence, it is crucial for the success of the MPAR project that the system configuration for a PPPAR is selected correctly and designed optimally.
Currently, the possible antenna array configurations include linear array, planar array, circular/cylindrical array, and spherical array. The linear array needs one mechanic rotation for weather surveillance like the rapid Doppler on Wheels (rapid DOW; see Wurman 2003) and the proposed design for the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) instrument (Hopf et al. 2009). For the planar array, multiple faces (normally four) are needed (e.g., the SPY-1A), but the planar array has sensitivity loss and polarization bias if the beam points away from the broadside (Zhang et al. 2009a). A circular or cylindrical configuration has been used for direction finding and communications (Royer 1966; Raffaelli and Johansson 2003). For satellite communication applications, the spherical array is optimal and flexible in its use of the antenna aperture size and in its symmetry (Tomasic et al. 2002). For weather applications, however, the spherical array cannot provide the high cross-polar isolation required to accurately measure precipitation.
In this study, we examine cylindrical polarimetric phased-array radar (CPPAR) for practically scan-invariant weather measurements. The CPPAR has azimuth scan-invariant properties and has very minor dependence on elevation at low elevation angles. Because the WSR-88D scan strategy has coarser elevation sampling at higher elevation angles, and because the CPPAR’s angular resolution coarsens as beam elevation angle increases (thus filling angular gaps created by coarser sampling), the gradual decrease in elevation resolution is a beneficial feature. In section 2 the meteorological measurements with a PPPAR are simulated and the PPPAR’s deficiencies are revealed. In section 3, a cylindrical array configuration is described and the CPPAR performance is quantified through a theoretical analysis and simulation. An example design and simulation results are given in section 4. Summary and discussions are provided in the last section.
2. Issues with a PPPAR
For a PPPAR, three or four faces are normally used to cover the 360° in azimuth. Because the antenna faces and their broadside directions are fixed, the beam and polarization characteristics change depending on the electronic beam direction. To obtain an intuitive impression, we show KOUN (a prototype dual-polarized WSR-88D) measurements of reflectivity and differential reflectivity in Fig. 1. Also shown are the simulated measurements that would be made by a four-face PPPAR comprising an array of crossed dipoles, and those if each face had the same size aperture as KOUN. Crossed Hertzian dipoles are used for sake of simplicity without having to specify the design and size of the array elements. Although other types of antenna elements (e.g., a patch) can be simulated in a similar way, detection performance would be worse because these elements have increased directive gain and thus have a larger scanning loss. Furthermore, ZDR bias would still exist, but it is correctable (Zhang et al. 2009a).
It can be seen that the reflectivity and differential reflectivity measurements are the same as those of KOUN at the four broadside directions. However, the measurements are considerably different at beam positions away from the broadsides: (i) ZH sensitivity is lost and (ii) ZDR has significant bias. There is a 7.5-dB sensitivity loss for the horizontally polarized beam if it is 45° from the broadside (it would be a 15-dB loss if the three-face PPPAR were used and the beam was 60° from the broadside). This is due to the combined effect of the decreased gain of the horizontal dipole radiation pattern and the decreased gain of the array caused by the smaller projected aperture in directions away from broadside. In addition to the 7.5-dB sensitivity loss for horizontally polarized waves, vertically polarized waves also have some loss (i.e., 1.5 dB) for beams steered to 45° from broadside. Although the biases in the reflectivity factor and differential reflectivity seen in Figs. 1c,d are correctable, sensitivity loss can only be compensated by increased power or aperture size.
The scan-variant measurements are unacceptable to meteorologists unless the data are calibrated to remove the radar system effects (Zhang et al. 2009a). Although the ZDR bias can be compensated, the sensitivity lost and worsening angular resolution is costly to recover. One might think to use the vertical polarization for the prime reflectivity measurements, but there will still be loss due to the projected area being diminished, and the azimuthal resolution will be worse by
For meteorological applications, the four-face PPPAR’s gain and beamwidth changes are most significant for beams that are electronically steered in azimuth. To compensate for the 7.5-dB loss (i.e., for horizontally transmitted waves at the azimuth limits of ±45°), without increasing transmitted power, the antenna aperture would need to be increased by a factor of 5.66 in the horizontal direction; this is clearly a prohibitively expensive solution. Alternatively, to ensure that the beamwidth at ±45° is practically equal to the beamwidth in elevation, and is no worse than the beamwidth of the WSR-88D, the antenna size in the horizontal direction must be increased by a factor of
3. Configuration and formulation for CPPAR
Realizing the deficiencies of a PPPAR for weather measurements, we propose a CPPAR (see Zhang et al. 2009b).
As sketched in Fig. 2, there are M × N dual-polarized radiating elements arranged azimuthally (M) and axially (N) on the surface of a cylinder. Multiple simultaneous beams are formed with each beam generated from a sector of the cylindrical surface with the broadside direction along the bisector of the illuminated sector. Using CPPAR, polarization orthogonality is preserved in all directions.
Likewise, the lower-right matrix element 1/sinθ0 compensates for the projection loss of the V dipole–radiated field onto the vertical direction; this correction is normally close to unity because the elevation angle (π/2 − θ0) for weather measurements is typically small.
The term in the parenthesis is equivalent to the WSR-88D illumination taper but applied to those mnth dipoles whose projection onto the vertical plane bisecting the cylinder lies within the πD2/4 area, where D is the diameter of the WSR-88D dish antenna (dipoles outside this circular area, but lying within the angular sector of elements forming the beam, have zero weight); the cos(ϕ − ϕ0) term accounts for the change of the density of the array elements projected onto the vertical plane and the term b = 0.16 accounts for edge illumination of the WSR-88D reflector (Doviak et al. 1998). Although
4. Sample design to mimic the WSR-88D
The operational WSR-88D radar has high performance for meteorological observations: it has a dish antenna with a diameter of 8.54 m, a beamwidth of about 1°, and the first sidelobe below −26 dB. It is desirable for the MPAR to have either similar or better performance. Figure 4 shows a table of the specifics of sample designs for a CPPAR with two, three, or four beams; each mimics the NEXRAD beamwidth at the largest electronic scan angle, and element separations used are 1.0, 0.75, and 0.5 wavelength. Considering the trade-off for maximizing the effective aperture and the number of beams, it is efficient to use either three or four simultaneous beams for a CPPAR, consistent with what is recommended by Josefsson and Persson (2006, chapter 3). It is relatively easy to control sidelobes with the four beams and short distance for element separations. For comparison, a PPPAR of three and four faces, with a beamwidth at its largest scanning azimuth angle (60°/45°) that matches the WSR-88D, is also shown in the table. The number of elements for a PPPAR is calculated based on elements occupying only the area inside the ellipse filled with array elements.
In the case of three beams, a 120° sector of a CPPAR is used to form a beam. This would require a cylinder of 8.54/sin(60°) = 9.88-m diameter and 8.54-m height. This is significantly smaller than the 17.1 m (i.e., 8.54 × 2) major axis of the elliptical array for a three-face PPPAR that matches, at the extremes of electronic steering of 60°, the WSR-88D resolution; furthermore, there is no need to increase the total power by a factor of 16 (12 dB) to compensate for the loss of detection capability in these directions. For the four simultaneous beams, a 90° sector is used to form a beam. A cylinder of 12.1 m (∼8.54 ×
Calculated CPPAR one-way-radiated power density patterns for the above-mentioned four-beam case and their comparisons with theoretical WSR-88D pattern are in Figs. 5 –8. Figure 5 shows 3D copolar and cross-polar patterns for the CPPAR with tapering and polarization compensation. The cross-polar radiation is everywhere at least 45 dB below the copolar peak, indicating that the CPPAR has high performance for preserving polarization purity. In Figs. 6 –8 the copolar patterns are on the two planes through the boresight: the patterns on the horizontal plane are shown in the upper panels, and those on the vertical plane are in lower panels.
Figure 6 shows the copolar patterns whereby the dipoles have no equivalent tapering of the WSR-88D illumination, density adjustment, and polarization compensation. Because the WSR-88D pattern is for the tapered illumination, CPPAR has higher sidelobes in Figs. 6a,c. This is also true for the near sidelobes as seen in the zoomed-in plots on the right in Figs. 6b,d. The pattern sidelobes for horizontal polarization are a little lower than for vertical polarization because of the natural tapering caused by changes in orientation of the horizontal dipoles as a function of ϕn.
Figure 7 shows the CPPAR pattern results if Eq. (8), without the cosine term, is applied to the dipoles within the angular sector forming the beam. The sidelobes are substantially reduced except near ±90° azimuth angles. This is due to the nonsymmetrical density of the active array elements seen from the off-broadside directions. Nevertheless, the level is 50 dB below the copolar peak and for two-way patterns that are of interest for meteorological applications, the sidelobe level is 100 dB below the copolar peak. This low sidelobe level is due to the applied tapering. It is also noted that the difference between the two polarizations is now very small because the main contribution to the radiation field comes from array elements near the broadside where there is not much difference between the H and V polarizations. If density adjustment [i.e., the cosine term in Eq. (8)] and polarization compensation are applied, the results become even better (Fig. 8). The main lobes are almost identical to the WSR-88D reference pattern, which is crucial for high-quality polarimetric radar measurements. Although sidelobes still exist, the farther sidelobes are mostly lower than those of WSR-88D. This is because of the natural tapering in CPPAR.
5. Summary and discussions
In this paper, we have compared the planar and cylinder array configuration of PPAR for weather measurements, and we formulated a theory for studying the CPPAR performance. Because our main objective is to draw attention to some of the unique properties of the cylindrical phased array for weather observations with polarimetric radar, and not to provide a detailed design for a specific CPPAR, we have assumed ideal array elements with given excitation. It is known that a PPPAR has issues of scan-dependent beam properties, including changes in beam and polarization characteristics, polarization coupling, sensitivity loss, and complications in calibration. To compensate for the sensitivity loss, the four-faced PPPAR antenna would have to have a diagonal dimension doubled the size of the WSR-88D and an increase of power by a factor of 4.
The CPPAR configuration can also make azimuth scan-invariant, high-accuracy weather measurements without changing the beam and polarization characteristics while maintaining a manageable antenna size. Compared with PPPAR, CPPAR has the following advantages:
(i) Scan-invariant polarimetric radar measurements with the same beamwidth and polarization characteristics in all azimuth angles for each elevation allow for easier calibration and data interpretation.
(ii) Polarization purity: dual-polarized (H and V) wave fields are orthogonal in all direction, and hence maintain high-quality polarimetric data. Compensation is only needed for horizontal and vertical polarizations separately, but cross-polarization isolation is maintained.
(iii) High efficiency of utilizing radiation power: Only certain array elements are activated and properly weighted to achieve the desired beams. The elements on the broadside are mostly activated and weighted higher; hence, less scan loss results from the element radiation pattern.
(iv) Efficient use of spectrum: For example, the side-by-side and back-to-back beams might use the same frequency because they are always 90° (120°) apart in the case of four (three) beams.
(v) The antenna aperture for fast data update or for multifunctionality with simultaneous multibeams is used optimally.
(vi) Flexibility to choose the number of beams (e.g., two, three, or four) and assign different task among beams: For example, if four beams are generated, two beams can be used for weather surveillance and the other two for aircraft tracking, making it a candidate for the future MAPR. This flexibility can be combined with multiple frequencies used in currently proposed PPPAR, that is, one band of frequencies for the weather function and another band for aircraft surveillance.
(vii) There is no need for the face-to-face matching as is required for a PPPAR, where each face is an individual radar system that could have different characteristics that need to be matched.
Acknowledgments
This work is supported with funding provided by NOAA/NSSL under the Cooperative Agreement NA17RJ1227/NA080AR4320886 and a NSF Grant ATM-0608168.
REFERENCES
Brandes, E., Zhang G. , and Vivekanandan J. , 2003: An evaluation of a drop distribution–based rainfall estimator. J. Appl. Meteor., 42 , 652–660.
Brookner, E., 2008: Now: Phased-array radars: Past, astounding breakthroughs and future trends. Microwave J., 52 , 1–30.
Doviak, R. J., and Zrnić D. S. , 2006: Doppler Radar and Weather Observations. 2nd ed. Dover, 562 pp.
Doviak, R. J., Zrnić D. S. , Carter J. , Ryzhkov A. , Torres S. , and Zahrai A. , 1998: Polarimetric upgrades to improve rainfall measurements. National Severe Storms Laboratory Rep., 110 pp.
Doviak, R. J., Bringi V. , Ryzhkov A. , Zahrai A. , and Zrnić D. , 2000: Considerations for polarimetric upgrades to operational WSR-88D radars. J. Atmos. Oceanic Technol., 17 , 257–278.
Heinselman, P. L., Priegnitz D. L. , Manross K. L. , Smith T. M. , and Adams R. W. , 2008: Rapid sampling of severe storms by the National Weather Radar Testbed Phased Array Radar. Wea. Forecasting, 23 , 808–824.
Hopf, A., Salazar J. L. , Medina R. , Venkatesh V. , Knapp E. J. , Frasier S. J. , and McLaughlin D. J. , 2009: CASA phased array radar system description, simulation and products. IEEE Int. Symp. on Geoscience and Remote Sensing, Vol. 4, Cape Town, South Africa, IEEE, doi: 10.1109/IGARSS.2009.5418262.
Ishimaru, A., 1997: Wave Propagation and Scattering in Random Media. IEEE Press, 574 pp.
Josefsson, L., and Persson P. , 2006: Conformal Array Antenna: Theory and Design. IEEE Press, 472 pp.
Le, K., Palmer R. , Cheong B. , Yu T. , Zhang G. , and Torres S. , 2009: On the use of auxiliary receive channels for clutter mitigation on phased array weather radar. IEEE Trans. Geosci. Remote Sens., 47 , 272–284.
Raffaelli, S., and Johansson M. , 2003: Conformal array antenna demonstrator for WCDMA applications. Proc. Antenna ’03, Kalmar, Sweden, IEEE, 207–212.
Royer, G. M., 1966: Directive gain and impedance of ring array of antennas. IEEE Trans. Antennas Propag., 52 , 1013–1021.
Sherman, S. M., 1988: Monopulse principles and techniques. Aspects of Modern Radar, E. Brookner, Ed., Artech House, 297–335.
Smith, P., and Coauthors, 2008: Evaluation of the multifunction phased array radar planning process. National Research Council Rep., 92 pp.
Tomasic, B., Turtle J. , and Liu S. , 2002: A geodesic sphere phased array antenna for satellite control and communication. Int. Union of Radio Science, XXVIIth General Assembly, Maastricht, The Netherlands, ARSI, 3161–3164.
Wang, Y., and Chandrasekar V. , 2006: Polarization isolation requirements for linear dual-polarization weather radar in simultaneous transmission mode of operation. IEEE Trans. Geosci. Remote Sens., 40 , 2019–2028.
Wurman, J., 2003: Preliminary results from the Rapid-DOW, a multi-beam inexpensive alternative to phased arrays. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 11B.1. [Available online at http://ams.confex.com/ams/32BC31R5C/techprogram/paper_63866.htm].
Yu, T., Orescanin M. B. , Curtis C. D. , Zrnic D. S. , and Forsyth D. E. , 2007: Beam multiplexing using the phased-array weather radar. J. Atmos. Oceanic Technol., 24 , 616–626.
Zhang, G., and Doviak R. J. , 2007: Spaced antenna interferometry to measure crossbeam wind, shear, and turbulence: Theory and formulation. J. Atmos. Oceanic Technol., 24 , 791–805.
Zhang, G., and Doviak R. J. , 2008: Spaced antenna interferometry to detect and locate subvolume inhomogeneities of reflectivity: An analogy with monopulse radar. J. Atmos. Oceanic Technol., 25 , 1921–1938.
Zhang, G., Vivekanandan J. , and Brandes E. , 2001: A method for estimating rain rate and drop size distribution form polarimetric radar measurements. IEEE Trans. Geosci. Remote Sens., 39 , 831–841.
Zhang, G., Doviak R. J. , Zrnic D. S. , Crain J. E. , Staiman D. , and Al-Rashid Y. , 2009a: Phased array radar polarimetry for weather sensing: A theoretical formulation for polarization calibration. IEEE Trans. Geosci. Remote Sens., 47 , 3679–3689.
Zhang, G., Palmer R. D. , Zrnic D. S. , and Doviak R. J. , 2009b: A cylindrical polarimetric phased array radar. U.S. Provisional Patent 5866.003, 16 November 2009.
Zhang, G., Li Y. , Doviak R. J. , Priegnitz D. , Carter J. , and Curtis C. , 2011: Multi-patterns of the National Weather Radar Testbed mitigate clutter received via sidelobes. J. Atmos. Oceanic Technol., in press.
Zrnić, D. S., and Coauthors, 2007: Agile-beam phased array radar for weather observations. Bull. Amer. Meteor. Soc., 88 , 1753–1766.
Zrnić, D. S., Doviak R. J. , Zhang G. , and Ryzhkov A. , 2010: Bias in differential reflectivity due to cross coupling through the radiation patterns of polarimetric weather radars. J. Atmos. Oceanic Technol., 27 , 1624–1637.