Cubic Polynomial Sea Clutter Model for Radar STC Filtering
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Solution Overview
Problem
Conventional sea clutter modeling methods are inadequate for short-range radar detection, as they fail to effectively reduce sea clutter without impacting primary radar performance, especially in close-range and adverse weather conditions, where small targets can be difficult to detect.
Innovation Solution
The use of a cubic polynomial model for sea clutter voltage, which includes coefficients corresponding to physical parameters, allows for improved sensitivity time control (STC) filtering by modeling sea clutter voltage with a cubic polynomial, providing four-parameter STC and adjusting coefficients based on sea state information, wind information, and attenuation levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sea clutter modeling methods are used, then the radar can maintain performance at longer ranges, but sea clutter reduction effectiveness deteriorates at short ranges
Solution Approach 1:
The patent changes the mathematical parameters of the sea clutter model from conventional approaches to a cubic polynomial form with specific coefficients (a, b, c, d) that better represent actual sea clutter characteristics at short ranges. This parameter transformation enables effective clutter reduction while maintaining detection capability across all ranges
Solution Approach 2:
The patent introduces dynamic adjustment of the cubic polynomial coefficients based on sea state conditions and range, allowing the STC filter to adapt its characteristics. The model parameters are adjusted according to actual sea conditions, making the clutter reduction effective both at short ranges and maintaining performance at longer ranges
2Object-affected harmful factors
If STC filtering is applied to reduce sea clutter, then sea clutter interference is reduced, but detection sensitivity may deteriorate for small close-range targets
Solution Approach 1:
The patent applies different attenuation characteristics within different range zones using the cubic polynomial model. The STC filter provides stronger attenuation where sea clutter is dominant while maintaining higher sensitivity in zones where small targets need to be detected, creating locally optimized filtering characteristics
Solution Approach 2:
The patent uses feedback mechanisms to adjust the STC filter parameters based on detected signal characteristics and sea state conditions. The cubic polynomial coefficients are refined based on actual reception data, allowing the system to learn and adapt to maintain detection sensitivity while reducing clutter
Data Source
AI summary
Methods and apparatus to provide Log-Amp-detected radar sea clutter voltage modeled by a polynomial, such as a cubic polynomial, and using that model as a basis for sea clutter reduction filtering. In an exemplary embodiment, a navigational radar includes an STC filter design based on the cubic sea clutter modeling.