Staggered prt practical considerations
1 / 36

Staggered PRT Practical Considerations - PowerPoint PPT Presentation

  • Uploaded on

Staggered PRT Practical Considerations. Sebastian Torres CIMMS/NSSL Technical Interchange Meeting Spring 2005. BATCH MODE. STAGGERED PRT. Outline. Staggered PRT refresher Choosing the PRTs Away with the Batch Mode! Ground clutter filter performance.

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

PowerPoint Slideshow about 'Staggered PRT Practical Considerations' - kylia

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Staggered prt practical considerations

Staggered PRTPractical Considerations

Sebastian Torres


Technical Interchange Meeting

Spring 2005





  • Staggered PRT refresher

  • Choosing the PRTs

  • Away with the Batch Mode!

  • Ground clutter filter performance

Improvement in Doppler velocity retrieval using Staggered PRT

The staggered prt technique







Simple algorithm

The Staggered PRT Technique

  • Transmitter alternates two PRTs

    • T1 < T2, PRT ratio: k = T1/T2 = m/n

  • Maximum unambiguous range

    • Reflectivity: ra = ra2

    • Doppler velocity: ra = ra1

  • Maximum unambiguous velocity

    • Velocity Dealiasing Algorithm (VDA)

    • va = m va1 = n va2

Staggered prt pros and cons

Max. unambiguous velocity can be extended by means of a simple algorithm

Longer PRTs can be used to avoid overlaid echoes

Velocity fields are “clean”

Spectral processing is complicated due to non-uniform spacing of samples

Ground clutter filtering is a challenge

Longer PRTs may result in larger errors of estimates

Staggered PRT Pros and Cons

Choice of prts

Choice of PRTs simple algorithm

What are the magicalvalues of T1 and T2?

Choice of prts1
Choice of PRTs simple algorithm

  • How do we choose T1 and T2 for the operational environment?

  • Constraints

    • System limits

    • Range coverage

    • Design considerations

    • Errors of estimates

System limits
System Limits simple algorithm

  • Maximum RF duty cycle for the WSR-88D transmitter is 0.2%

    • Duty cycle = t /Ts

    • 1.57 ms/Ts≤ 0.002 => Ts≥ 780 ms

  • Signal processor memory allocation in the RVP-8 limits the number of range bins to 3072

    • Typical sample spacing: 1.67 ms (250 m)

    • 1.67 ms x 3072 = 5.12 ms => Ts≤ 5.12 ms

Range coverage i
Range Coverage (I) simple algorithm

  • Maximum unambiguous range

    • ra = cTs/2

    • The longer the PRT the better!

  • WSR-88D requirements:

    • Reflectivity up to 460 km

      • ra2≥ 460 km => T2≥ 3.07 ms

    • Doppler velocity up to 230 km

      • ra1≥ 230 km => T1 ≥ 1.53 ms

Range coverage ii
Range Coverage (II) simple algorithm

  • Actual requirements for intermediate to higher elevations can be relaxed

    • Most storms tops are below 18 km

    • For a height of 18 km, the slant range (r) is ~ 300 km at an elevation (qe) of 2.4 deg and ~ 150 km at 6 deg

Range coverage iii
Range Coverage (III) simple algorithm

  • Actual requirements for range coverage at intermediate elevations are300 km or less

  • For example

    • At 2.4 deg: ra1≥ 230 km => T1 ≥ 1.53 ms ra2≥ 300 km => T2≥ 2 ms

    • At 6.0 deg: ra1≥ 150 km => T1 ≥ 1 ms ra2≥ 150 km => T2≥ 1 ms

Design constraints
Design Constraints simple algorithm

  • Algorithm assumes T1 < T2

  • Preferred PRT ratio is k = 2/3

    • Fewest number of rules for the VDA

    • Spectral GCF performs best with this ratio (Sachidananda et al, 1999)

  • T1 / T2 = 2/3

  • Note: None of the existing PRTs in the WSR-88D satisfy this condition!

    • RVP-8 and 88D transmitter not limited to 8 PRTs

    • Possible ORPG impact

      • RDA/RPG ICD does not include the PRT

      • VCP definitions use PRT numbers

Errors of estimates
Errors of Estimates simple algorithm

  • Echo coherency is required for precise Doppler measurements

    • The spectrum width should be much smaller than the Nyquist interval

    • Median value of sv in severe storms is about 4 m/s

    • T1 < 2.2 ms

      • However, larger sv would require shorter T1

Acceptable prts

System limits simple algorithm

Range coverage

Design constraints

Signal coherency

PRT ratio

Acceptable PRTs

Acceptable PRTs

T1 = 1.5350 ms

T2 = 2.3025 ms

Errors of estimates1

Errors of Estimates simple algorithm

Can these values of T1 and T2 do the work?

Dealing with spaced pairs

T simple algorithm1









Dealing with Spaced Pairs

  • Uniform PRT uses contiguous pairs

  • Staggered PRT uses spaced pairs

    • Usual formulas for the standard error of estimates have to be modified

    • Formulas for the spectrum width don’t even apply

Spectral moment estimators with staggered prt i

Staggered PRT assumes echoes don’t extend beyond simple algorithmra2




Spectral Moment Estimators with Staggered PRT (I)

  • Reflectivity

    • Three zones:

      • I: Short PRT pulses only

      • II: All pulses

      • III: Long PRT pulses only

    • Zone II estimates are more accurate for large spectrum widths

Reflectivity errors
Reflectivity Errors simple algorithm

Solid lines: short (or long) PRT pulses only

Dashed lines: all pulses

SNR = 40 dB

DT = 60 msk = 2/3

Spectral moment estimators with staggered prt i1
Spectral Moment Estimators with Staggered PRT (I) simple algorithm

  • Velocity

    • v1 from short PRT pairs is dealiased using v2 from long PRT pairs

  • Spectrum Width

    • Depends on power and lag-1 autocorrelation estimates

      • Use short or long PRT lag?

      • Long PRTs will exhibit saturation for large spectrum widths

Velocity errors
Velocity Errors simple algorithm

Solid lines: short PRT pairs

Dashed lines: long PRT pairs

SNR = 40 dB

DT = 60 msk = 2/3

Spectrum width errors
Spectrum Width Errors simple algorithm

Solid lines: short (or long) PRT pulses for power

Dashed lines: all pulses for power

Lines without markers:short PRT pairs for autocorrelation

Lines with markers:long PRT pairs for autocorrelation

SNR = 40 dB

DT = 60 msk = 2/3

Replacing the batch mode

Replacing the simple algorithmBatch Mode

Can Staggered PRT performbetter than the Batch Mode?

Factors to consider
Factors to Consider simple algorithm

  • Range coverage

    • Different for Surveillance (reflectivity) and Doppler (velocity and spectrum width)

    • Must meet NEXRAD requirements but can be adjusted using maximum height of storms

  • Acquisition time

    • Dictated by antenna rotation rate

    • Must keep same or shorter dwell time

  • Errors of estimates

    • Must meet NEXRAD requirements

Vcp 11 scans using the batch mode
VCP 11 simple algorithmScans using the Batch Mode

Range coverage i1
Range Coverage (I) simple algorithm

Range coverage ii1

Extended using long PRT powers simple algorithm

Range Coverage (II)

rad: short PRT

ras: long PRT

T1 = 2rad/c

T2 = 2ras/c

ras = (3/2) rad

Maximum unambiguous velocity
Maximum unambiguous velocity simple algorithm

Batch Mode

Staggered PRT

Acquisition time
Acquisition Time simple algorithm

Errors of estimates i
Errors of Estimates (I) simple algorithm

  • According to NEXRAD requirements, standard errors of estimates are specified at SNR > 8 dB and sv = 4 m/s

  • For the Batch Mode, we use standard formulas (contiguous pairs)

  • For the Staggered PRT, we use modified formulas (spaced pairs)

Errors of estimates ii

Requires average of simple algorithm4 gates in range

All slightly larger than 1 m/s

All better than with the BM

All less than 1 m/s

Errors of Estimates (II)

Batch Mode

Staggered PRT

Solutions to the issue of larger errors of estimates
Solutions to the Issue of Larger Errors of Estimates simple algorithm

  • Collect more samples per radial

    • This requires reducing the antenna rotation rate

      • For example, at 2.5 deg need to collect 21 pairs instead of 15, adding about 8 seconds to the scan

  • Use Sachi’s one-overlay resolution technique and reduce the PRTs

    • Computationally complex

  • Use oversampling and whitening

    • Even a small oversampling factor would work

What about other vcps
What about other VCPs? simple algorithm

  • Requirements don’t change!

  • Everything depends on the required range coverage and the dwell time

    • The shorter the dwell time and/or the larger the required range coverage, the larger the errors

      • Larger errors increase the likelihood of catastrophic errors in the Staggered PRT velocity dealiasing algorithm

Ground clutter filtering with staggered prts

Ground Clutter Filtering with Staggered PRTs simple algorithm

Can we remove the clutteras well as with uniform PRT?

Ground clutter filtering
Ground Clutter Filtering simple algorithm

  • Batch mode

    • Surveillance pulses are filtered with the two-pulse canceller

      • About 30 dB of suppression

    • Doppler pulses are filtered with GMAP

  • Staggered PRT

    • Staggered PRT pulses are filtered with a spectral GCF (Sachidananda)

      • Filter can incorporate elements of GMAP

Gcf performance
GCF Performance simple algorithm

Batch Mode - 2 pulse canceller

Batch Mode - GMAP


Staggered PRT

Conclusions simple algorithm

  • Unambiguous range coverage for velocity estimates is greatly improved with Staggered PRT

  • Staggered PRT yields larger Nyquist velocity intervals

  • For the same dwell times, errors of estimates are better for reflectivity and slightly worse for velocity

  • Ground clutter suppression using a spectral filter is much better for reflectivity and comparable for velocity

  • Staggered PRT is a viable candidate to replace the legacy Batch Mode at intermediate elevation angles

An image is worth a thousand words

BATCH MODE simple algorithm


An image is worth a thousand words …