Polarimetrie phased array calibration for large-scale multi-mission radar applications

Fulton, Caleb; Salazar, Jorge L.; Zrnić, Dúsan S.; Mirković, Djordje; Ivić, Igor R.; Doviak, Dick

doi:10.1109/radar.2018.8378746

Cited by 20 publications

(8 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where x can be H or V depending on the polarization and φ 0 is the desired cut. 3 From (3), the standard deviation (for logarithmic variables) is calculated across θ, denoted by the σ[•] operator; e.g., σ[∆ H ], where the angular dependency has been ignored for simplicity. This metric measures the variability in the H-pol and Vpol co-polarization radiation patterns added by undesired reflections from the UAV within the angular range of interest.…”

Section: ) Ripplesmentioning

confidence: 99%

“…W ITH the introduction of dual-polarized multifunction phased array weather radar systems (MPAR) [1] as a replacement for the current dish-based weather radar system (WSR-88D), additional challenges arise in the characterization and calibration of their components to ensure that no biases are being introduced in the polarimetric weather radar products [1], [2]. Namely, strict requirements on the mismatch between the co-polarization patterns of no greater than 0.1 dB, and cross-polarization levels of no greater than about -40 dB, are imposed, since the radiation properties in phased array antennas depend on the electronic scanning direction [3]. Typically, an outdoor in-situ range can be built to adequately measure the antenna system's performance in its final installation site to ensure that it meets the requirements, and that its interaction with the environment is predictable [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…Uppercase variable notation will generally be used to denote variables in dB, while lowercase will be used for linear units 2. The coordinate system and polarizations are usually defined in Ludwig-III 3. The subscripts a and u will be used throughout the text to refer to the radiation pattern of the antenna without and with the UAV structure, respectively, where needed.…”

mentioning

confidence: 99%

See 2 more Smart Citations

UAV-Based Antenna Measurements for Polarimetric Weather Radars: Probe Analysis

2020

Self Cite

View full text Add to dashboard Cite

One of the principal challenges in the calibration of polarimetric weather radars is achieving the strict requirements in the measurement of the antenna radiation pattern of the system; e.g., a copolarization mismatch of at most 0.1 dB, and cross-polarization levels less than approximately −40 dB are highly desirable. In a UAV-based antenna pattern measurement system, the radiation characteristics of the probe antenna can be adversely affected by scattering off of the UAV platform itself, and by the relative orientation of the probe antenna with respect to the UAV frame. It is hypothesized that such extraneous reflections depend on the type of antenna used as a probe, and in this context, a more directive probe antenna (i.e., with low back lobe radiation) would be necessary to achieve the required measurement accuracy for weather radar applications. This work studies the effect of UAV and probe antenna interaction for different types of antennas through EM simulations, and this is validated with chamber measurements. For the patch array antenna under study, co-polarization mismatch levels of approximately 0.13 and 0.05 dB, and maximum cross-polarization levels of −37 and −34 dB, are achieved at boresight in measurements and simulations, respectively, which can be improved to meet the requirements with a careful selection of the gimbal operating angle range. INDEX TERMS antenna characterization, co-polarization mismatch, cross-polarization contamination, dual-polarized, far-field, measurements, probe, UAV interaction, weather radar.

show abstract

Section: ) Ripplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

UAV-Based Antenna Measurements for Polarimetric Weather Radars: Probe Analysis

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Since the radiation properties in digital phased array antennas depend on the electronic scanning direction, additional challenges arise in their calibration. This imposes a strict requirement on the mismatch between the co-polarization patterns of no greater than 0.1 dB, and cross-polarization levels of no greater than about -50 dB, of the antenna for simultaneous transmit and simultaneous receive (STSR) operation mode [4]. Therefore, an in-situ antenna measurement method that complies with such demands is necessary to calibrate each radar in the network.…”

Section: Introductionmentioning

confidence: 99%

UAV-Based Far-Field Antenna Pattern Measurement Method for Polarimetric Weather Radars: Simulation and Error Analysis

2020

View full text Add to dashboard Cite

Continuing advances and the availability of relatively inexpensive commercial off-theshelf UAV systems allow the development of in-situ antenna measurement systems for a wide variety of operating frequencies and applications. This paper presents a simulation framework and error analysis that provides a guideline for in-situ far-field (FF) unmanned aerial vehicle (UAV)-based antenna measurements of operational and research antennas for polarimetric weather radar systems. The analysis includes system design trade-offs which allow the evaluation of antenna measurement errors due to UAV position, gimbal orientation, and extraneous error sources that can be present in a UAV-based field-testing scenario. Results analyzed for all cases provide error bounds and limitations for two example characterization schemes. The UAV-based antenna measurement system simulation and analysis suggests and supports the feasibility of such a system for antenna characterization and polarimetric calibration of antennas in the near future. INDEX TERMS Antenna characterization, errors, in-situ measurements, UAV, antenna test.

show abstract

“…Recently, polarimetric phased array radar (PPAR) has attracted broad interest, owing to its potential in weather observation, air traffic control, and air surveillance [1][2][3][4][5][6][7]. However, some challenges, especially the requirement of high accuracy for polarimetric measurement, still hinder the development of the PPAR technology [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Bias Correction to Antenna Frequency Response for Wideband Polarimetric Phased Array Radar

Wang

Pang

et al. 2019

Electronics

View full text Add to dashboard Cite

The frequency response of wideband polarimetric phased array radar antenna biases polarization measurement. A bias correction method named the iterative frequency division (IFD) algorithm is proposed in this paper to eliminate the effect of frequency response of the antenna system. The method is built on a new measurement bias model in which the effects of frequency response on the backscattering covariance matrix are analyzed. To demonstrate the effectiveness of the proposed method, a wideband microstrip patch array element is designed. Simulation results show that the biases of differential reflectivity ( Z D R ) and linear depolarization ratio ( L D R ) can be decreased to less than 0.1 dB and − 40 dB even for wide beam direction. The proposed method maintains a favorable polarization measurement accuracy for wideband polarimetric phased array radar.

show abstract

Polarimetrie phased array calibration for large-scale multi-mission radar applications

Cited by 20 publications

References 21 publications

UAV-Based Antenna Measurements for Polarimetric Weather Radars: Probe Analysis

UAV-Based Antenna Measurements for Polarimetric Weather Radars: Probe Analysis

UAV-Based Far-Field Antenna Pattern Measurement Method for Polarimetric Weather Radars: Simulation and Error Analysis

Bias Correction to Antenna Frequency Response for Wideband Polarimetric Phased Array Radar

Contact Info

Product

Resources

About