Radar Targeting Threshold Adjustment for Clutter Suppression
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Solution Overview
Problem
Conventional radar technologies face challenges in accurately identifying and removing clutter, especially in on-board radar systems where the power variation between targets and clutter is not distinct, and weather conditions like rain increase clutter power variation, making it difficult to differentiate.
Innovation Solution
A radar apparatus that utilizes a frequency analyzing unit to generate power spectra, a targeting unit to identify targets with historical connection, a rainy-weather determining unit to assess erroneous detections, and a parameter updating unit to adjust the targeting threshold, thereby improving clutter identification and removal capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the targeting threshold is set low to detect all potential targets, then detection sensitivity is improved, but clutter is erroneously targeted and false detections increase
Solution Approach 1:
The patent applies dynamics by making the targeting threshold adjustable rather than fixed. The threshold is dynamically updated based on the detected number of erroneous detections. When erroneous detections are high, the threshold increases to suppress false targets; when erroneous detections are low, the threshold decreases to improve detection sensitivity. This dynamic adjustment resolves the contradiction between detection sensitivity and false detection rate.
Solution Approach 2:
The patent implements feedback by using the number of erroneous detections as a feedback signal to adjust the targeting threshold. The system continuously monitors false detections and feeds this information back to modify the threshold parameter, creating a closed-loop control system that adapts to current detection conditions and resolves the contradiction between sensitivity and reliability.
2Reliability
If the targeting threshold is increased to reduce false detections, then reliability is improved, but detection sensitivity decreases and legitimate targets may be missed
Solution Approach 1:
The patent resolves this contradiction through dynamic threshold adjustment. Instead of maintaining a high fixed threshold, the system lowers the threshold when erroneous detections are low, thereby restoring detection sensitivity. The threshold becomes a dynamic parameter that adapts to conditions, allowing the system to achieve both high reliability and high sensitivity at different times.
Solution Approach 2:
The patent applies parameter changes by modifying the targeting threshold based on the erroneous detection count. When the erroneous detection count is below a threshold, the targeting threshold is decreased to improve detection sensitivity. This parameter adjustment strategy allows the system to optimize both reliability and sensitivity depending on current detection quality.
3Device complexity
If conventional power variation-based clutter identification is used, then simple clutter removal is achieved, but accurate clutter identification fails in rainy weather when clutter power variation increases
Solution Approach 1:
The patent replaces the mechanical/power-based clutter identification method with a statistical/method-based approach. Instead of relying on power variation characteristics, the system uses erroneous detection counting and historical connection analysis to identify clutter. This substitution maintains processing simplicity while dramatically improving clutter identification accuracy, especially in rainy weather where power variation methods fail.
Solution Approach 2:
The patent changes the identification parameter from power variation to erroneous detection count. By monitoring how many detections lack historical connection rather than measuring power fluctuations, the system achieves accurate clutter identification in all weather conditions. This parameter change preserves processing simplicity while eliminating the weather-dependent limitation of power-based methods.
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 system effectively suppresses erroneous targeting of clutter by increasing the targeting threshold in rainy conditions, enhancing the radar's ability to distinguish between targets and clutter, even in environments with varying weather conditions.
Implementation Method 1
detects at least a relative speed to a target using Doppler effect
Data Source
AI summary
A radar apparatus includes a targeting unit that irradiates a radar wave and recognizes a detection subject using a reflected wave thereof. The targeting unit extracts, as a target, a peak that is confirmed to have historical connection over measurement cycles equal to or more than a predetermined targeting threshold, from peaks extracted from a power spectrum generated by frequency analysis. A rainy-weather determining unit determines that weather is rainy when a number of erroneous detections is greater than a predetermined rainy-weather determination threshold. The number of erroneous detections is a number of peaks that have been detected in a previous measurement cycle or earlier by the targeting unit and are not confirmed to have historical connection to a peak detected in a current measurement cycle. A parameter updating unit updates the targeting threshold so as to be a larger value as the number of erroneous detections increases when the rainy-weather determining unit determines that the weather is rainy.