Radar Signal Extrapolation for Ground Clutter Reduction
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Solution Overview
Problem
Conventional Doppler radar devices face challenges in reducing ground clutter when the number of data points is small, limiting the measurement range and requiring trade-offs between observation distance and time.
Innovation Solution
A data processing device that includes an approximate line calculator, virtual data sequence generator, data sequence connector, and an infinite impulse response (IIR) filter, which extrapolates data sequences to increase the number of data points and effectively reduces low-frequency components by processing the input data sequence through an IIR filter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of data points of reception signal data is increased to improve ground clutter reduction, then the low frequency component reduction effectiveness is improved, but the observation distance or observation time is deteriorated
Solution Approach 1:
The patent applies preliminary action by generating virtual reception signal data before actual reception signal data using an approximate line calculator. This virtual data is created by extrapolating the temporal change of input data sequences, providing additional data points that enable effective ground clutter reduction without requiring extended observation time or distance.
Solution Approach 2:
The patent creates a copy of the input data sequence by generating a virtual data sequence that mimics the characteristics of actual reception signal data. This copied virtual data is then connected with the actual data to form a processed data sequence with increased data points, enabling improved low frequency component reduction without additional observation resources.
2Adaptability or versatility
If the pulse repetition cycle is changed to widen the measurement range of Doppler velocity, then the measurement range is improved, but the data continuity is broken and sufficient data points cannot be obtained
Solution Approach 1:
The patent introduces an intermediary virtual data sequence that bridges gaps created by changing pulse repetition cycles. This virtual data acts as a mediator between data sequences obtained at different pulse repetition cycles, maintaining data continuity and enabling sufficient data points for ground clutter reduction while allowing flexible adjustment of Doppler velocity measurement range.
3Device complexity
If conventional IIR filter is used with small number of data points, then the device complexity is kept simple, but the low frequency component reduction effectiveness is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-processing input data sequences to generate virtual data sequences that increase the total number of data points before IIR filter processing. This preliminary data generation step enables the simple IIR filter to achieve effective low frequency component reduction without increasing filter complexity, as the improvement comes from having more input data rather than a more complex filter.
Data Source
AI summary
The data processing device includes a virtual data sequence generator to extrapolate an approximate line approximating a temporal change of an input data sequence being inputted from outside and is a sequence of data at time points of a predetermined first number that are arranged in succession with at a predetermined time interval to a head or a tail of input data sequence and to generate a virtual data sequence being a sequence of data representing values on extrapolated approximate line at time points of a predetermined second number that are arranged in succession with the time interval, the time points including a time point being adjacent to input data sequence, a data sequence connector to generate a processed data sequence being a data sequence in which virtual data sequence is connected to input data sequence on a side where approximate line of input data sequence is extrapolated.