Target Trajectory Estimation with Time-Domain Sensor Reliability
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Solution Overview
Problem
Existing target trajectory estimating devices face challenges in accurately estimating the positioning of targets in multipath environments where specific sensors experience orientation measurement errors, leading to potential erroneous positioning processing.
Innovation Solution
A target trajectory estimating device that processes orientation information from multiple sensors, divides time into domains, determines abnormal values, and adjusts orientation measurement errors accordingly to enhance trajectory estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DOP is used to determine positioning accuracy, then abnormal value determination is improved, but positioning accuracy deteriorates in multipath environments
Solution Approach 1:
The patent divides the time period into multiple time domains (e.g., morning, afternoon, night) and performs abnormal value determination separately for each time domain. This segmentation allows the system to identify multipath errors specific to certain times without affecting the entire day's positioning data, thereby maintaining positioning accuracy while improving abnormal value detection reliability.
Solution Approach 2:
The patent performs preliminary abnormal value determination before using the orientation measurement values for positioning. By detecting abnormal values in advance and excluding them from positioning calculations, the system prevents erroneous positioning results while maintaining accurate positioning for valid measurements.
2Productivity
If all sensors are used for positioning processing, then productivity is improved, but positioning accuracy deteriorates due to multipath errors
Solution Approach 1:
The patent applies different quality weights to different sensors based on their performance in specific time domains. Sensors that show abnormal values during certain times (e.g., night hours) are assigned lower weights or excluded from positioning calculations during those periods, while maintaining full utilization of sensors during reliable time periods. This local quality adjustment maintains productivity while improving accuracy.
Solution Approach 2:
The patent dynamically changes the reliability parameters of sensors based on time-domain analysis. By adjusting the weight or trust level of each sensor according to whether it operates in multipath-prone conditions (e.g., urban canyons at night), the system optimizes both the number of sensors used and their individual contributions to positioning accuracy.
Data Source
AI summary
A target trajectory estimating method includes: dividing time during which orientation sensors observe the target into time domains, and dividing the orientation information to pieces of orientation information corresponding to the time domains, determining, for each time domain, whether an orientation measurement value, obtained by orientation sensors receiving radio waves from a target, is abnormal, resetting an abnormal orientation measurement error to lower reliability with respect to trajectory estimation of the orientation measurement value, and resetting a normal orientation measurement error to keep the reliability unchanged for the trajectory estimation of the orientation measurement value, estimating, for each time domain, a target position in each time domain using the orientation measurement value indicated by the pieces of orientation information present in the time domains and the orientation measurement error which is reset accompanying the orientation measurement value, and outputting object trajectory by connecting the positioning values for time domains.