Radar Pulse Compression Units Reduce Fourier Transform Operations
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Solution Overview
Problem
Radar devices face increased calculation scale due to the high number of Fourier transform and inverse Fourier transform operations required for pulse compression, especially when multiple pulses with different carrier frequencies are processed.
Innovation Solution
A radar apparatus is designed with multiple pulse compression units that perform Fourier transforms and inverse Fourier transforms on received signals, calculating frequency spectra and spectrum products based on carrier frequencies and beam directional angles, and then synthesizes received beams using these processed products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If N times of pulse compression is performed using conventional methods, then pulse compression processing is completed, but the number of Fourier transform and inverse Fourier transform operations increases to 2×N times, increasing calculation scale
Solution Approach 1:
The patent merges the pulse compression operations by performing a single inverse Fourier transform on the combined spectrum products of all N pulses, rather than performing separate inverse Fourier transforms for each pulse. This combines multiple processing steps into one unified operation, reducing the total number of transform operations from 2×N to N+1 while maintaining pulse compression quality
Solution Approach 2:
The patent performs preliminary Fourier transforms on all received signals before combining them, and prepares all spectrum products in advance. By organizing the processing sequence this way, the system avoids redundant transform operations and enables a single consolidated inverse Fourier transform to complete the pulse compression for all N pulses
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
This approach reduces the calculation scale by minimizing the number of Fourier transform and inverse Fourier transform operations, enabling efficient pulse compression and beam synthesis while maintaining effective range side lobe reduction.
Implementation Method 1
a plurality of pulse compression units configured to calculate frequency spectra of the received signals by performing Fourier transforms on the received signals output from the receiver devices
Implementation Method 2
perform inverse Fourier transforms on the spectrum products
Data Source
AI summary
Pulse compression units (9-m) (m=1, . . . , M) obtain frequency spectra of received signals by performing Fourier transform on the received signals output from receiver devices (7-m), calculate spectrum products of references for pulse compression, the references determined by beam directional angles indicating propagation directions of transmission pulses and carrier frequencies, and the frequency spectra, and perform inverse Fourier transform on the spectrum products. This enables reduction in the calculation scale by reducing the number of times of execution of Fourier transform and inverse Fourier transform when pulse compression is performed.