Target Object Detection Using Multi-Timing IF Signal Likelihood
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
When an electromagnetic wave is irradiated to a moving target object, the reflection wave may be mixed with noise, leading to a decrease in detection accuracy of the target object.
Innovation Solution
A target object detection apparatus that uses an irradiation apparatus to emit electromagnetic waves and receive reflection waves, generating an IF signal. The apparatus then processes this IF signal to generate likelihood information indicating the distribution of presence probabilities of the target object in a height direction, and determines the presence or absence of the target object based on this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic wave is irradiated to moving target object, then target object detection is performed, but reflection wave is mixed with noise causing detection accuracy to decrease
Solution Approach 1:
The system performs preliminary actions by irradiating electromagnetic waves at multiple timings before the target object fully enters the detection region. This allows the system to capture reflection waves at different stages of the target object's movement, enabling later differentiation between noise and actual reflection signals based on temporal patterns and movement consistency.
Solution Approach 2:
The invention introduces a temporal dimension by processing reflection waves acquired at multiple different timings. Instead of analyzing only a single moment's reflection wave, the system accumulates and processes reflection wave data across time, transforming the detection from a static to a dynamic analysis that can distinguish noise from meaningful signals through temporal coherence.
2Reliability
If reflection wave is analyzed to detect target object, then presence detection is achieved, but detection reliability decreases when reflection wave contains noise
Solution Approach 1:
The system merges multiple reflection wave signals acquired at different timings into a unified detection result. By combining the information from multiple temporal samples, the system enhances the signal-to-noise ratio and improves detection reliability, as the target object's reflection characteristics remain consistent across time while noise varies randomly.
Solution Approach 2:
The system uses the likelihood information generated from processed reflection waves to feedback into the detection determination. The determination unit references the generated likelihood information when deciding whether a target object is present, creating a feedback loop that improves detection reliability by continuously evaluating and adjusting detection confidence based on processed signal characteristics.
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
The proposed solution increases the detection accuracy of the target object by effectively processing the IF signal to generate reliable likelihood information, even in the presence of noise.
Implementation Method 1
an irradiation unit that executes, at a plurality of timings, processing of irradiating an electromagnetic wave to a region, while the region being scanned, through which a target object passes; and a reception unit that receives a reflection wave acquired from the electromagnetic wave being reflected by the target object
Data Source
AI summary
A target object detection apparatus (20) includes an acquisition unit (210), a likelihood information generation unit (220), and a determination unit (230). The acquisition unit (210) acquires an IF signal from an irradiation apparatus (10) at a plurality of timings. The likelihood information generation unit (220) executes, by processing the IF signal, processing of generating, with respect to each of a plurality of IF signals, likelihood information for a region (hereinafter, referred to as a target object region) having a possibility in that an accompaniment, i.e., a target object is present. The likelihood information indicates a distribution of presence probabilities of a target object in at least a height direction in a target object region. Then, the determination unit (230) determines a presence or absence of a target object, by using likelihood information generated for each of a plurality of target object regions.