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Airport Surveillance Prediction Evaluation Clutter Tool
- Used to generate clutter table: summary of required radar performance in various clutter environments
Applied during ASR-11 RFP Development and Source Selection from 1995 to 1997
- Clutter table part of ASR-11 specification
- Performance of winning contractor’s radar analyzed
Continuing effort during radar procurement from 1997 to current
- Radar performance re-analyzed as parameters change
Joint Silver Spring/Connecticut Effort
- Derivative of RSS
- Detailed simulation of the radar
- Multiple clutter types: rain, sea, mountains, urban
The Radar Characterization Model (RCM) is an analysis tool developed by TSC to generate commonplace characterizations of radar performance. These include the prediction of aircraft detection sensitivity, weather reflectivity measurement biases, among others. RCM uses graphical interfaces to allow the user to redefine the radar parameters, such as transmit pulsewidth, antenna pattern or detection rule, and it allows the user to make wholesale swaps of parameters to, for instance, exchange a TDWR model for a Nexrad model, or an ASR-11 model for an ASR-9 model. RCM also provides environment modeling capability in much the same form. Against weather, this permits control in three spatial dimensions for the definition of rain reflectivity, wind fields and level of wind convergence. RCM can produce several analyses, all of which tend to be typical questions relating to the performance of the radar. Among these, sensitivity and measurement accuracy figure prominently. Through means of graphical control of both the radar definition and the environment scenario, the tool is adept at trade studies and case analyses.
Examples:
Surveillance Sensitivity Analysis