Development of a Weather Radar Signal Simulator to Examine Sampling Rates and Scanning Schemes

Abstract

A weather radar signal simulator that produces an output consisting of a vector of I and Q values representing the radar return permits investigation of the performance of different estimators for the weather signal parameters and their sensitivity when varying radar parameters and precipitation models. Although several empirical statistical models are available to describe precipitation behavior, the creation of a physical model enables adaptation to actual data (e.g. rain rate, wind shears) thereby making it possible to apply and examine different scanning schemes, especially rapid scanning schemes. A physical model allows gradual improvements to realism to study the effects on the radar return for different phenomena. A Weather Radar Signal Simulator has been developed in MATLAB. Several different functionalities have been implemented allowing for stepped frequency, multiple PRFs, pulse compression using a chirp, and variation of both weather and radar input parameters. Post processing capabilities include autocorrelation and FFT (for single PRF only); estimation of weather parameters such as reflectivity factor, Z; average doppler, radial velocity, and velocity spread; pedagogical plots including a Phasor plot of phase change over time and a velocity histogram, instantaneous observed reflectivity and power for each pulse over time.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2005
Accession Number
ADA439673

Entities

People

  • Ulf P. Schroder

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cartesian Coordinates
  • Electromagnetic Radiation
  • Electromagnetic Scattering
  • Frequency
  • Graphical User Interface
  • Information Science
  • Mathematical Models
  • Meteorological Radar
  • Pulse Compression
  • Radar
  • Radar Signals
  • Radial Velocity
  • Simulations
  • Simulators
  • Statistics
  • Wind Shear
  • Wind Velocity

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.