Object Detecting Device Beat Signal Frequency Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing object detecting devices struggle to enhance detection probability without prior acquisition of object position information.
Innovation Solution
The device employs a beat signal extractor, spectral analyzer, search range width setter, combination target selector, frequency corrector, and combiner to correct and combine beat signals from multiple object detecting devices, enhancing detection probability without requiring prior position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If coherent combining is performed using position information of the object, then detection probability is enhanced, but the method cannot be applied when position information cannot be acquired in advance
Solution Approach 1:
The patent introduces an intermediary approach by using spectral analysis and frequency comparison as a mediator between the received signals and the combining process. Instead of directly using position information, the system analyzes spectral components to identify common frequencies across multiple object detecting devices, which serve as a substitute intermediary for achieving coherent combining without requiring prior position data.
Solution Approach 2:
The patent changes the parameter basis for combining signals from spatial position information to frequency domain characteristics. By transforming the problem from spatial domain (position-based coherent combining) to frequency domain (spectral component-based combining), the system achieves enhanced detection probability through parameter transformation, allowing combination based on frequency similarity rather than position data.
2Reliability
If multiple object detecting devices are used to receive and combine signals, then detection probability is enhanced, but system complexity increases
Solution Approach 1:
The patent extracts only the essential and useful components from the complex signal processing task. Instead of processing all signal parameters from multiple devices, the system extracts and focuses solely on spectral components and frequency characteristics. This extraction approach simplifies the combining process by considering only the most relevant features (frequency and spectral power) while ignoring other complex parameters.
Solution Approach 2:
The patent segments the signal processing task into distinct functional stages: spectral analysis of individual device signals, identification of common frequency components, frequency comparison, and final combining. This segmentation allows each stage to handle a specific aspect of the problem independently, reducing overall system complexity by breaking down the complex multi-device signal combination into manageable sequential steps.
Data Source
AI summary
There are provided: a spectral analyzer configured to individually analyze a spectrum of a beat signal extracted by a beat signal extractor and a spectrum of a beat signal extracted by another object detecting device; a search range width setter configured to set a search range width for frequency; and a combination target selector configured to determine, for each spectrum analyzed by the spectral analyzer, a frequency search range having the search range width set by the search range width setter, and select, for each of the analyzed spectra, a frequency of a combination target from among the frequencies in the determined search range by comparing spectral components of the frequencies in the determined search range.