Vehicle Radar Multipath Ghost Filtering for Monorail Detection
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Solution Overview
Problem
Existing vehicle radar systems erroneously detect monorail vehicles as obstacles due to multipath reflections, leading to incorrect driving assistance commands.
Innovation Solution
A radar device equipped with a target detection unit, multipath ghost determination unit, monorail environment determination unit, and monorail vehicle determination unit to identify and exclude monorail vehicles from detection results, using frequency analysis and threshold-based counting of multipath ghosts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar waves are transmitted to detect targets around the vehicle, then target detection capability is improved, but multipath reflections cause erroneous detection of monorail vehicles as obstacles
Solution Approach 1:
The patent converts the harmful multipath reflection phenomenon into a useful detection feature. By analyzing the specific pattern of multipath ghosts (multiple reflected waves creating characteristic ghost images), the system identifies these reflections not as noise to be eliminated but as a signature of monorail vehicles. This allows the radar to distinguish between actual obstacles and monorail vehicles by detecting the presence of multiple multipath ghosts at specific positions and speeds, thereby converting the harmful interference into a beneficial identification mechanism.
2Measurement precision
If camera-based image processing is used to distinguish monorail vehicles, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts and utilizes only the necessary radar signal processing components needed to identify monorail vehicles, eliminating the need for camera-based image processing systems. By focusing on extracting multipath ghost patterns from radar returns and analyzing their spatial and velocity characteristics, the system achieves monorail vehicle identification using solely radar technology. This extraction approach removes complex camera hardware, image processing algorithms, and sensor fusion systems while maintaining effective monorail vehicle distinction.
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
Accurately distinguishes monorail vehicles from actual obstacles, preventing erroneous driving assistance commands and simplifying device configuration by not requiring camera-based image processing.
Implementation Method 1
a radar device for a vehicle, configured to detect targets around the vehicle by transmitting and receiving radar waves
Implementation Method 2
performing frequency analysis of transmission and reception signals
Implementation Method 3
a moving object that relays the radar waves between the target detection unit and another target as a relay reflective target
Data Source
AI summary
A radar device according to one aspect of the present disclosure includes a target detection unit, a multipath ghost determination unit, a monorail environment determination unit, and a monorail vehicle determination unit. The multipath ghost determination unit extracts a relay reflective target from detected targets, and determines a moving object detected erroneously due to a stationary object from or to which radar waves are relayed by the relay reflective target, as being a multipath ghost. The monorail environment determination unit determines whether an environment in which the vehicle carrying the radar device is traveling is a monorail environment. When the environment in which the vehicle carrying the radar device is traveling is the monorail environment, the monorail vehicle determination unit determines that the relay reflective target is a monorail vehicle, based on the number of multipath ghosts.