Cross-Correlation Signal Processing for Moving Object Detection
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Solution Overview
Problem
Existing signal processing techniques fail to accurately detect moving objects without being affected by the speed of the moving object, leading to inaccurate detection.
Innovation Solution
A signal processing device and method that includes at least two cross-correlation calculation units to calculate cross-correlation functions of reflection signals and different correlation waveforms generated from varying frequency transmission signals, with a combination unit to combine these functions in a way that they are not separated in the frequency shift direction, allowing for accurate detection of moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single cross-correlation function is used for detection, then the detection process is simple, but the moving object cannot be accurately detected without being affected by speed
Solution Approach 1:
The patent divides the detection process into multiple cross-correlation calculation units, each calculating cross-correlation functions with different correlation waveforms. This segmentation allows the system to handle different speed ranges separately and combine results for comprehensive detection, resolving the contradiction between detection accuracy and processing complexity.
Solution Approach 2:
The patent introduces a new dimension by using multiple correlation waveforms with different frequency characteristics. Instead of improving a single cross-correlation function, the system adds multiple functions with different properties, allowing detection across various speed ranges and improving overall accuracy without excessive complexity.
2Measurement precision
If multiple cross-correlation functions are calculated with different correlation waveforms, then detection accuracy improves, but computational complexity increases
Solution Approach 1:
The patent segments the computational workload into multiple parallel cross-correlation calculation units. Each unit processes a specific correlation waveform independently, allowing for optimized computation and potential parallel processing that reduces overall computational power requirements while maintaining high detection accuracy.
Solution Approach 2:
The patent changes parameters of the correlation waveforms (frequency, phase, etc.) to create multiple distinct waveforms. By varying these parameters systematically, the system achieves comprehensive detection coverage without requiring excessive computational resources, as each waveform is designed to be computationally efficient.
3Adaptability or versatility
If correlation waveforms are separated in frequency shift direction, then each waveform can be processed independently, but detection coverage is reduced
Solution Approach 1:
The patent merges multiple cross-correlation functions that are separated in frequency shift direction by using a combination unit. This combination integrates the detection results from different frequency ranges, ensuring comprehensive detection coverage across all speed ranges while maintaining the structural organization needed for efficient processing.
Solution Approach 2:
The patent designs the correlation waveforms and their corresponding cross-correlation functions to serve multiple purposes. Each waveform is designed to be effective across a range of frequencies, and the combination unit synthesizes these multi-functional results to achieve universal detection capability across all speed ranges without excessive structural complexity.
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
Enables accurate detection of moving objects without being affected by their speed, while reducing computational complexity and minimizing interference in the cross-correlation functions.
Implementation Method 1
calculating a cross-correlation function of a waveform of a reflection signal and a different correlation waveform generated from a waveform of a transmission signal
Implementation Method 2
a transmission signal that varies in frequency
Implementation Method 3
the reflection signal being acquired by reflection, from a target object, of the transmission signal
Data Source
AI summary
The present invention relates to a signal processing device for accurately detecting a moving object without being influenced by the speed of the moving object. This signal processing device is provided with: at least two cross-correlation calculation units for calculating cross-correlation functions for the waveform of a reflection signal obtained through the reflection, by an object, of a transmission signal having a varying frequency and different correlation waveforms generated from the waveform of the transmission signal; a combination unit for combining the at least two cross-correlation functions from the at least two cross-correlation calculation units so as not to be separated in the frequency shift direction; and a detection unit for detecting the object on the basis of the cross-correlation function resulting from the combination.