Dynamic Radar Prediction Region for Target Tracking
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Solution Overview
Problem
Radar apparatuses face challenges in accurately tracking targets due to fixed prediction region sizes, leading to potential misidentification of targets outside the region and increased tracking failure probabilities, especially with varying target speeds.
Innovation Solution
The radar apparatus includes a detection unit, a speed deriving unit to determine target speed, and a region setting unit that adjusts the size and shape of the prediction region based on the target's speed, setting a circular region for low-speed targets and an annular region for high-speed targets to improve tracking accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed-size prediction region is used for target tracking, then the device complexity is reduced, but the target tracking reliability deteriorates due to misidentification of targets outside the region
Solution Approach 1:
The prediction region is made dynamic by adjusting its size based on the detected target's speed. For high-speed targets, the prediction region size is increased to account for larger displacement between detection cycles. For low-speed targets, the prediction region size is reduced. This dynamic adaptation resolves the contradiction by maintaining reliable tracking across different target speeds without requiring a universally large fixed region that would increase complexity.
Solution Approach 2:
The patent changes the parameter of prediction region size based on the speed parameter of the detected target. By deriving target speed from positional information across detection cycles and using this speed information to adjust the prediction region size, the system achieves reliable tracking for both high-speed and low-speed targets while avoiding the complexity of managing multiple fixed-size regions or overly conservative large regions.
2Reliability
If a large prediction region is used to cover high-speed targets, then the target tracking reliability for high-speed targets improves, but the probability of erroneous identification of low-speed targets increases
Solution Approach 1:
The prediction region size is locally adapted to match the specific target's speed characteristics. Each target receives a prediction region size appropriate to its speed - high-speed targets get larger regions while low-speed targets get smaller regions. This local quality approach resolves the contradiction by ensuring that the prediction region is neither too large nor too small for any given target, thereby maintaining both tracking reliability and identification precision.
Solution Approach 2:
The prediction region size dynamically adjusts based on the detected target's speed. The system derives speed information from positional changes between detection cycles and uses this to set appropriate prediction region sizes. This dynamic adjustment ensures that high-speed targets have sufficient tracking coverage while low-speed targets maintain precise identification, resolving the contradiction between these two requirements.
3Adaptability or versatility
If the prediction region size is increased to accommodate fast-moving targets, then the target detection coverage improves, but the false positive rate increases due to inclusion of unrelated targets
Solution Approach 1:
The patent changes the prediction region size parameter based on the speed parameter of the detected target. By deriving target speed from positional information and using this to adjust the prediction region size, the system achieves adaptability for different target speeds while minimizing false positives. High-speed targets receive larger regions appropriate to their motion, while low-speed targets receive smaller regions that reduce the likelihood of including unrelated targets.
Solution Approach 2:
The prediction region size dynamically adapts to the target's speed characteristics. The system derives speed information from positional changes between detection cycles and uses this dynamic information to set appropriate prediction region sizes. This dynamic adaptation provides versatility for tracking different target types while reducing false positives by avoiding unnecessarily large regions for slow-moving targets.
Data Source
AI summary
A radar apparatus includes; a detection unit that performs a detection processing of detecting a target iteratively at a predetermined cycle; a speed deriving unit that derives a speed of the target detected in a current iteration of the detection processing; a region setting unit that sets a prediction region where the target having temporal continuity with and being identical to the target detected in the current iteration of the detection processing is expected to be detected in a next iteration of the detection processing, while changing at least one of a size and a shape of the prediction region according to the speed derived by the speed deriving unit; and a determination unit that determines whether the target detected in the next iteration of the detection processing in the prediction region set by the region setting unit has the temporal continuity with and is identical to the target detected in the current iteration of the detection processing.