MIMO Radar Signal Processing With 4D FFT for Real-Time Target Estimation
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Solution Overview
Problem
Existing MIMO radar systems face challenges in achieving high performance with minimal processing time and efficient target parameter estimation.
Innovation Solution
A MIMO radar system that employs a digital unit comprising a multiple input multiple output, radar system that employs a multiple input multiple output, antenna array including a multiple input multiple output, antenna array, a digital unit, a frame-based complex multiplication, and a four-dimensional Fast Fourier Transform (FFT) processing to generate a four-dimensional radar signal matrix for target parameter estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If orthogonal waveforms are used for simultaneous transmission from multiple transmit antennas, then spatial diversity and target parameter estimation capability are improved, but processing complexity and computation time increase
Solution Approach 1:
The patent segments the complex 4D processing into separate 1D FFT operations along each dimension (range, azimuth, elevation, Doppler). This segmentation allows the system to handle orthogonal waveform processing from multiple transmit antennas by breaking down the computationally intensive 4D matrix processing into manageable sequential steps, thereby reducing processing complexity while maintaining measurement precision
Solution Approach 2:
The patent introduces a fourth dimension (Doppler frequency) to the traditional 3D radar processing (range, azimuth, elevation). By applying 4D FFT processing that includes Doppler frequency analysis, the system simultaneously estimates target parameters across all four dimensions, improving measurement precision for moving targets while using efficient algorithms to manage the increased processing requirements
2Productivity
If four-dimensional FFT processing is applied to estimate target parameters, then real-time performance is improved, but computational load increases
Solution Approach 1:
The patent performs preliminary signal processing operations including range compression and azimuth processing before the final 4D FFT. By pre-processing the orthogonal waveforms from multiple transmit antennas and organizing data into the appropriate 4D matrix structure in advance, the system reduces the computational load during real-time processing while maintaining high productivity
Solution Approach 2:
The patent replaces traditional mechanical scanning and sequential processing with parallel digital signal processing using FFT algorithms. The 4D FFT processing efficiently handles the orthogonal waveforms from multiple transmit antennas simultaneously through frequency domain operations, substituting computationally intensive time-domain processing with more efficient frequency-domain operations to reduce computational load while achieving real-time performance
Data Source
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AI summary
A multiple input multiple output, MIMO, radar system comprising a multiple input multiple output, MIMO, antenna array including a number of transmit antennas adapted to transmit radar signals supplied by transmitters and a number of receive antennas adapted to receive radar signals supplied to receivers; and a digital processing unit adapted to perform a frame-based complex multiplication of the received complex signal and the conjugate of the transmit signal in the frequency domain to extract transmit waveforms from different transmit antennas at each receiver to generate a four-dimensional radar signal matrix to which a four-dimensional FFT radar signal processing is applied to calculate target parameters of a target.