Airborne Weather Radar Terrain Databases for Clutter Discrimination

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Solution Overview

Problem

Existing weather radar systems often misclassify reflected radar returns, particularly at mid-ranges, by confusing weather with ground clutter or terrain, leading to ambiguity and potential distraction for operators.

Innovation Solution

Incorporating a digital elevation model (DEM) and terrain type database into the radar system, which uses different radar cross sections and reflectivity characteristics to differentiate between terrain, water, and weather, thereby refining the classification of reflected radar returns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional weather radar systems use systematic scanning processes to cover areas, then they can detect weather and objects in the surrounding airspace, but they often misclassify reflected radar returns at mid-ranges by confusing weather with ground clutter or terrain

Engineering Contradiction:
Improveclassification accuracyVSAvoiddiscrimination reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent introduces a new dimension of classification by incorporating terrain type information (forest, urban, rural, water) alongside elevation data. This multi-dimensional approach allows the radar system to distinguish between weather and terrain clutter more accurately by comparing reflected energy characteristics against multiple terrain-specific profiles, resolving the misclassification problem at mid-ranges

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system dynamically adjusts classification parameters by retrieving terrain-specific radar cross-section values and reflectivity characteristics from a database. By changing the reference parameters based on identified terrain types, the system adapts its discrimination criteria to match local conditions, improving both measurement precision and reliability

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If the radar system uses a database with terrain type information and compares reflected energy characteristics, then it can improve classification accuracy, but it increases device complexity

Engineering Contradiction:
Improveclassification accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The radar system incorporates a universal database structure that stores terrain type information and radar cross-section characteristics applicable to multiple scenarios and locations. This multi-functional database serves both classification and discrimination functions, improving accuracy without proportionally increasing system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs preliminary actions by pre-populating a database with terrain type information and radar cross-section values before actual weather detection occurs. This advance preparation allows the classification algorithm to quickly reference pre-computed data during operation, reducing real-time processing complexity while maintaining high classification accuracy

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Improves the accuracy of weather and terrain display by correctly classifying radar returns, reducing operator confusion and enhancing safety by minimizing misclassifications.

Implementation Method 1

a radar antenna configured to transmit radar energy and receive reflected radar energy from the transmitted radar energy

Methodology Applied
Scientific EffectRadar: Radar

Implementation Method 2

Different terrain and foliage types may have different radar cross sections and therefore different returned energy to the radar system with different reflectivity characteristics

Methodology Applied
Scientific EffectRadar cross section:

Data Source

PatentUS20250334671A1Weather radar system incorporating geographic terrain/foliage classification database/water information to enhance clutter weather discrimination
Publication Date: 2025.10.30 HONEYWELL INTERNATIONAL INC
  • US20250334671A1 patent drawing
  • US20250334671A1 patent drawing
  • US20250334671A1 patent drawing

AI summary

Techniques to accurately display and identify reflected radar returns for a radar system. Processing circuitry of a radar system, such as an airborne weather radar system, may apportion the returned energy from transmitted radar signals to a ground map or to a weather display. The radar system of this disclosure may include databases with a digital elevation model and terrain type. Different terrain and foliage types may have different radar cross sections and therefore different returned energy to the radar system with different reflectivity characteristics. The radar system may discriminate between clutter and weather such that the radar cross section of water is used to discriminate and apportion returned radar energy when over water. In this manner the radar system of this disclosure may correctly display weather, terrain, and water to resolve ambiguity.