Fourier Detection Processing for Changing Filter Characteristics
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Solution Overview
Problem
Detection devices face performance deterioration due to changes in filter characteristics caused by ambient conditions such as temperature, humidity, and pressure, especially in systems operating over variable or multiple bands.
Innovation Solution
A detection device employing Fourier transform processing with a filter characteristic estimation circuit that selects noise samples through CFAR, obtains noise power data, and estimates frequency-dependent filter compensation data to adaptively compensate for changing filter characteristics, allowing robust target detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If filters are used to process radar signals, then signal filtering and detection capability are improved, but detection performance deteriorates when filter characteristics change due to ambient conditions
Solution Approach 1:
The patent implements a feedback mechanism where the detection device continuously monitors noise power in the processed signal and uses this information to dynamically adjust filter characteristics. The filter characteristic estimation circuit estimates current filter characteristics based on noise power measurements, and the detection circuit compensates for deviations from expected characteristics, creating a closed-loop system that adapts to ambient condition changes.
Solution Approach 2:
The patent changes filter parameters dynamically based on detected noise power levels. When noise power deviates from expected values due to temperature, humidity, or pressure changes, the system adjusts filter characteristics (such as cut-off frequency or gain) to compensate for these changes, maintaining optimal detection performance across varying environmental conditions.
2Measurement precision
If fixed filter characteristics are used, then device complexity is reduced, but detection accuracy deteriorates in varying environmental conditions
Solution Approach 1:
The detection device performs self-diagnosis and self-compensation by automatically measuring noise power and estimating filter characteristics without external intervention. The system uses its own processed signals to monitor performance degradation and applies compensation algorithms to maintain accuracy, eliminating the need for manual calibration or external reference systems.
Solution Approach 2:
The patent performs preliminary estimation of filter characteristics and compensation calculations before actual target detection occurs. By pre-characterizing the noise environment and filter response, the system prepares compensation factors in advance, allowing rapid adjustment during detection without adding significant real-time computational complexity.
Data Source
AI summary
A detection device includes a Fourier transform processing circuit configured to output first Fourier transform data through range Fourier transform processing on a plurality of pulse signals and output second Fourier transform data through Doppler Fourier transform processing on the first Fourier transform data; a filter characteristic estimation circuit configured to select a plurality of samples corresponding to noise in the second Fourier transform data through a constant false alarm rate (CFAR), obtain noise power data from the plurality of samples, and estimate frequency-dependent filter compensation data based on the noise power data, and a detection circuit configured to compensate the first Fourier transform data based on the filter compensation data and detect a target based on performing the CFAR on the compensated first Fourier transform data.