Radar Noise Level Interpolation for Adaptive Gain Control
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Solution Overview
Problem
Conventional radar devices struggle to adjust receiving sensitivity effectively due to varying noise levels from white noise and clutter reflections, which can lead to inadequate display of target object echoes, especially in port areas with complex structures, as existing techniques fail to adapt to changing environmental conditions and cannot distinguish between noise and target echoes accurately.
Innovation Solution
A radar device with an area determination module to classify noise and target-echo superior areas based on frequency-of-appearance distributions, a noise-level calculation module to calculate noise levels, and an interpolation module to generate noise-level distributions, allowing for adaptive gain control and correlation processes tailored to specific areas, including port and non-port regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional gain control devices are used to adjust receiving sensitivity, then white noise and clutters can be removed to some extent, but the technique cannot follow the variation in noise levels caused by different radar receivers, environmental conditions, and oceanic conditions
Solution Approach 1:
The patent implements dynamic noise level estimation by continuously calculating noise levels from received signals and adapting the gain control thresholds in real-time. The system estimates noise levels using signal processing techniques that analyze the statistical properties of received signals, allowing the gain control to dynamically adjust to varying noise conditions caused by different radar receivers, environmental conditions, and oceanic variations.
Solution Approach 2:
The patent employs feedback mechanisms where the estimated noise levels are fed back into the gain control system to adjust processing parameters. The system continuously monitors the received signals, estimates noise levels, and uses this information to modify gain control thresholds, creating a closed-loop system that adapts to changing noise conditions and maintains optimal noise removal effectiveness.
2Ease of operation
If signal counting techniques are used for gain control, then receiving sensitivity can be adjusted, but weak target object echoes are not displayed due to influence of strong level signals
Solution Approach 1:
The patent applies local quality analysis by examining the statistical characteristics of signal amplitudes in different regions of the radar search area. The system divides the search area into multiple regions and analyzes noise levels and signal distributions locally in each region, allowing for differentiated gain control that preserves weak target echoes while removing noise, rather than applying uniform processing across the entire search area.
Solution Approach 2:
The patent changes processing parameters dynamically based on estimated noise levels and signal characteristics. The system adjusts gain control thresholds, filtering parameters, and detection sensitivity levels according to the estimated noise environment, enabling the system to optimize both noise removal and weak signal detection by adapting parameters to current operating conditions.
3Reliability
If correlation process is performed to remove clutters, then unnecessary signals can be removed, but it is difficult to perform with optimum weights due to varying clutter levels
Solution Approach 1:
The patent performs preliminary noise level estimation and classification before executing the correlation process. The system预先 estimates noise levels in different regions and classifies them into noise-dominated and target-echo-dominated areas, which then guides the selection of correlation weights and processing parameters, simplifying the overall optimization process while maintaining effective clutter removal.
Data Source
AI summary
A radar device is provided in this disclosure. The radar device includes an area determination module for performing a determination of a noise superior area or a target-echo superior area for each divided area of a radar-search area defined in advance, a noise-level calculation module for calculating a noise level for a divided area based on received signals from the divided area that is determined as the noise superior area, and an interpolation module for interpolating or extrapolating the calculated noise level for the divided area that is determined as the noise superior area, to obtain a noise level for a divided area that is determined as the target-echo superior area.