clean-ap update cl utter e nvironment an alysis using a daptive p rocessing sebastián torres and...

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CLEAN-AP Update Clutter Environment Analysis using Adaptive Processing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National Severe Storms Laboratory/NOAA NEXRAD TAC Norman, OK 29 August, 2012

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Page 1: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

CLEAN-AP UpdateClutter Environment Analysis using Adaptive Processing

Sebastián Torres and David Warde CIMMS/The University of Oklahoma

and National Severe Storms Laboratory/NOAA

NEXRAD TACNorman, OK

29 August, 2012

Page 2: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

CLEAN-AP is a novel real-time, automatic, integrated technique for ground clutter detection and filtering that produces meteorological data with improved quality while meeting NEXRAD technical requirements.

what is CLEAN-AP?

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Page 3: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

While CLEAN-AP can deal with normal- (NP) and anomalous-propagation (AP) clutter, it is not a mitigation technique for moving clutter such as airplanes, cars, or wind turbines.

what is CLEAN-AP not?

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Page 4: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• Developed concept (Spring ‘08)– Filed invention disclosure with OU’s OTD

• Evaluated performance using simulations (Spring ‘08)• Implemented in real time on the NWRT PAR (Fall ‘08) • Compared with current WSR-88D clutter mitigation (Fall

‘09)– KEMX (Tucson, AZ), KTLX (Oklahoma City, OK), KABX (Albuquerque, NM), KCRI

(ROC testbed)

• Presented at November 2009 TAC meeting– initially presented CLEAN-AP

• “… the technique shows potential utility…”, “… encouraged by early results…”• “… [have not] shown the scientific details behind the algorithm…”• “… [need] case comparisons with CMD…”

• Extended to dual-polarization (Spring ‘10)– KOUN (S-band) and OU’ (C-band)

• Developed clutter model (Spring ‘10)– Form/Function/Fit for RVP8

milestones (I)

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Page 5: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• Presented at fall 2010 ROC/NSSL/NCAR TIM– presented more technical details and data cases– received positive feedback from ROC eng and agency reps

• Delivered CLEAN-AP algorithm description (Fall ’10)– NSSL Report 14 (confidential attachment)

• Extended to staggered PRT (Fall ‘10)• Presented at March 2011 TAC meeting

– decision briefing• “The TAC members agreed to move forward with conducting

an engineering evaluation on CLEAN AP.”

• Documented CLEAN-AP performance (Winter ’11)– NSSL Report 15

• Delivered SPRT CLEAN-AP algorithmdescription (Spring ’12)

– NSSL Report 16 (confidential)

milestones (II)

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Page 6: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

Ground Clutter Filtering

Ground Clutter Filtering

Ground Clutter Detection

Ground Clutter Detection

Unfiltered data

Filtered data

clutter mitigation at the RDA

Control

CMDCMD

GMAPGMAP

CLEAN-AP

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Page 7: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

CLEAN-AP’s core: the ASDlag-1 autocorrelation spectral density

• For periodic signals: F1(k) = F0(k) ej2k/M

– S1(k) = F0*(k) F0(k) ej2k/M =S (k) ej2k/M

– the ASD is the PSD with linear phase

sample time

10 M2 M1

V0

V1

window & DFT

F1

window & DFT F0

S1(k) = F0*(k)F1(k)

Page 8: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

MeasuredTrue

v

v

ASD

v

v

ASD

v

PSD

Ground Clutter

v

PSD

Weatherv

v

ASD

v

v

ASD

Leakage

Leakage

nothing is ideal…

Spectral leakage in the measured ASD is the basis for clutter detection in CLEAN-AP

Page 9: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

how does CLEAN-AP work? Integrated Detection and Filtering

• Estimate CNR• Select appropriate data

window• Compute ASD• Identify components

with clutter contamination

– Phase of ASD is near zero due to leakage effect

• Remove clutter• Reconstruct weather

• ASD is used to estimate meteorological variables

v

v

|ASD|

zero phase

DC

Arg(ASD)

PSD

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Page 10: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

Performance Summary

Page 11: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

data window selectionCLEAN-AP vs. GMAP

More aggressive data windows contain spectral leakage but increase variance of estimates

better suppression

lower variance

GMAP

%

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Page 12: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

notch width selectionCLEAN-AP vs. GMAP

CLEAN-AP uses magnitude and phase for improved notch width determination

better suppression

lower bias

NW determination

mag phase

GMAP CLEAN-AP

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Page 13: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

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CLEAN-AP has more clutter suppression and less variance of estimates

Clutter SuppressionDoppler Mode

CLEAN-AP GMAP

Page 14: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

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CLEAN-AP has a more robust notch width determination that results in smaller biases

Reflectivity (Power) BiasDoppler Mode

CLEAN-AP GMAP

Page 15: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

Case Examples

Page 16: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• Ground-clutter suppression– Due to the mountainous terrain close to the

radar, KEMX data exhibited “hot spots” (clutter residue) after the initial release of CMD (B11). This led to a few software changes (B11 fixed)

KEMX Tucson, AZCan you see the mountains?

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Page 17: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

KEMX Reflectivity

Unfiltered CMD+GMAP (B11 fixed)CLEAN-AP

CLEAN-AP mitigates both weak and strong clutter contamination

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Page 18: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

KEMX Tucson, AZCLEAN-AP Performance

CLEAN-AP adapts to clutter environment

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CLEAN-APPower Removed

CLEAN-APWindow Used

Page 19: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• Zero-isodop loss– Weather with narrow spectrum width and near

zero velocity has nearly the same spectrum as clutter

KCRI Norman, OKWhat happened to the zero-isodop?

if it looks like a duck… 19

Page 20: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

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KCRIReflectivity

Unfiltered UnfilteredCLEAN-APCMD+GMAP (B11

fixed)

CLEAN-AP better preserves the zero isodop

Page 21: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

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KCRIVelocity

CLEAN-AP better preserves the zero isodop

Unfiltered UnfilteredCLEAN-AP CMD+GMAP (B11)

Page 22: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• Support implementation on the ORDA• Support engineering evaluation • Investigate using dual-pol information to

improve detection performance• Investigate using H and V channels to

determine the filter’s notch width– This also applies to

the current filter

Future Work

Page 23: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

CLEAN-AP is a novel real-time, automatic, integrated technique for ground clutter mitigation that produces meteorological data with improved quality while meeting NEXRAD technical requirements.

In March 2011, the TAC endorsedits engineering evaluation on the WSR-88D.

Summary

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Page 24: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

back up slides

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Page 25: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• CLEAN-AP is automatic– no need for user intervention– real-time ground-clutter detection– no need for clutter maps

• CLEAN-AP produces data withimproved quality

– adaptive data windowing finds a good compromise between clutter suppression and data quality

• CLEAN-AP meets NEXRAD requirements– improved clutter suppression– requirements (Z) met with as few as 8 samples

• CLEAN-AP is integrated– one algorithm for ground clutter detection and filtering– gate-by-gate operation

the CLEAN-AP filter (I)

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Page 26: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• CLEAN-AP “sets the stage” for further spectral processing

– phase provides useful information– immune to biases from circular convolution

• CLEAN-AP is operational on the NWRT PAR– running in real-time since Sep 2008– performance informally evaluated by meteorologists

and forecasters (PARISE experiments)

• CLEAN-AP is compatible with current and future upgrades

– SZ-2, super resolution, dual pol., hybrid SW,– SPRT, range oversampling, etc.

the CLEAN-AP filter (II)

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Page 27: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

KEMX

Clutter Map (Pwr Rmvd > 10 dB)Clutter Map (Pwr Rmvd > 20 dB)

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Page 28: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

• Snow event with embedded storms

KTLX Oklahoma City, OKWhere is the zero?

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Page 29: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

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KTLXReflectivity

Unfiltered CLEAN-AP

Where is the zero isodop?

Page 30: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

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KTLXVelocity

Unfiltered CLEAN-AP

No detectable zero isodop loss

Page 31: CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National

KOUN What about dual polarization?

ReflectivityDifferential ReflectivityCorrelation CoefficientDifferential Phase

CLEAN-AP is compatible with dual polarization

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