Dual-Radar Target Detection Using LOS Signal-Strength Thresholds
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Solution Overview
Problem
Existing radar systems require significant computational resources to analyze channel impulse response data for target position estimation and do not effectively utilize line-of-sight and non-line-of-sight states for target detection.
Innovation Solution
A detection device utilizing a synchronization unit to coordinate radar units, a data processing unit for FFT processing, and a line-of-sight determination unit to reduce computational load by determining target presence based on signal strength thresholds, thereby simplifying target position and classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel impulse response data is analyzed using processing of a comparatively large amount of computation to specify target position, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the signal processing into distinct components: extracting line-of-sight signal components separately from reflected signal components in the channel impulse response data. By dividing the complex CIR analysis into manageable segments (LOS path identification, reflection path identification), the system achieves accurate position estimation without requiring excessively complex overall processing
Solution Approach 2:
The patent performs preliminary classification of signal paths before final position calculation. By预先 identifying and separating LOS and reflected signal components in the CIR data, the system prepares processed information that simplifies subsequent position estimation, reducing the computational burden of the final calculation stage
2Measurement precision
If comprehensive CIR analysis is performed to detect target presence and position, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies partial action by focusing computational resources only on the necessary components of CIR analysis. Instead of processing all possible signal paths equally, the system selectively analyzes LOS and reflected signal components that are most relevant for position estimation, achieving sufficient detection accuracy with reduced processing time
Solution Approach 2:
The patent extracts and separates specific signal components (line-of-sight and reflected signals) from the complete channel impulse response data. By taking out only the relevant signal paths needed for position estimation and discarding or minimizing processing of irrelevant components, the system reduces processing time while maintaining detection accuracy
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 solution significantly reduces computational requirements for target position estimation and classification by leveraging LOS/NLOS states, allowing for efficient and accurate detection and classification of targets with reduced processing time and resources.
Implementation Method 1
a first radar unit that transmits radar signals, a second radar unit that receives radar signals
Implementation Method 2
transmits radar signals... receives radar signals
Data Source
AI summary
According to one embodiment, a detection device includes a first radar unit, a second radar unit, a data processing unit, and a determination unit. The first radar unit transmits radar signals. The second radar unit receives radar signals. The data processing unit processes radar information acquired by the second radar unit and outputs a first value and a first distance. The first value indicates a relationship between a signal strength. The first distance is determined by a distance between the first radar unit and the second radar unit. The determination unit determines that a target object exists at a position between the first radar unit and the second radar unit when the first value output from the data processing unit is smaller than or equal to a threshold value.