3D Radar Data Fusion for Wind Farm Clutter Mitigation
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Solution Overview
Problem
Two-dimensional Air Surveillance Radars (ASR) face performance degradation when tracking aircraft near or above windfarms and providing coverage at low elevation angles, due to interference from wind turbines which can mimic aircraft echoes, leading to false tracks and reduced sensitivity.
Innovation Solution
A passive adjunct radar system is integrated with primary surveillance radar to provide three-dimensional data, distinguishing between aircraft and wind turbine clutter, enhancing detection capabilities and providing height information without compromising primary radar performance. This system includes adaptive filtering, CFAR processing, and monopulse processing to improve signal-to-noise ratio and clutter cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wind farm clutter mitigation techniques (STC, RAG, PAT) are applied to reduce false tracks, then reliability improves, but radar sensitivity deteriorates
Solution Approach 1:
The patent introduces a third dimension (elevation angle) to the traditional 2D radar surveillance by deploying an adjunct radar that provides elevation data. This dimensional expansion enables the system to distinguish between ground clutter (low elevation) and aircraft (higher elevation), resolving the contradiction between clutter rejection and sensitivity maintenance without compromising target detection capability
2Device complexity
If 2D primary surveillance radar is used to cover surveillance area, then device complexity is low, but measurement precision of target height is insufficient
Solution Approach 1:
The patent introduces an adjunct radar as an intermediary component that specifically provides elevation angle measurements. This mediator device complements the 2D primary radar by filling the gap in height measurement capability, enabling 3D target characterization while maintaining the simplicity of the original 2D radar system
3Area of stationary object
If wind farm structures are present in field of view, then coverage area is maintained, but object-generated harmful factors increase due to clutter echoes
Solution Approach 1:
The patent applies local quality by using elevation angle information to selectively identify and suppress clutter returns from specific spatial locations (ground level) while preserving returns from other locations (aircraft at various altitudes). This localized discrimination approach maintains coverage of the entire surveillance area while eliminating harmful clutter effects in specific angular regions
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
The integration of primary and adjunct radar systems enhances the detection of aircraft and surface targets, improves radar coverage, and provides accurate height information and 3D weather data, achieving a 3 dB improvement in signal-to-noise ratio in coherent integration and up to 2.5 dB in incoherent integration, effectively addressing performance degradation near windfarms.
Implementation Method 1
transmitting radar signals using a two-dimensional primary radar to cover a surveillance area, receiving return from the transmitted radar signals
Implementation Method 2
Doppler processed, optionally using adaptive filtering
Data Source
AI summary
Methods and apparatus for combining radar signals of a two-dimensional primary radar covering a surveillance area and a passive adjunct radar to provide three-dimensional data for targets and weather. In exemplary embodiments, high beam and low beam data from the primary radar and elevation data from the adjunct radar can be used to mitigate interference from clutter, such as wind farms.