Tracking Processor Using Stored Echo Data to Reduce Latency
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Solution Overview
Problem
Current tracking devices face challenges in accurately estimating the movement state of a target at the start of tracking, leading to time lags and increased calculation burdens, and require significant memory capacity due to large data storage needs.
Innovation Solution
A tracking processing device and method that utilizes a tracking information detector to extract information from echo signals, a storage component to store necessary data, and a tracking processor to estimate the movement state using stored information, including characteristic information like shape and Doppler shift, to reduce time lag, calculation burden, and memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the tracking device observes the movement of the tracking object over a plurality of scans to accurately estimate movement state, then the measurement precision of movement state is improved, but the loss of time increases due to time lag
Solution Approach 1:
The system performs preliminary actions by storing detection information for the tracking object before the actual tracking starts. The estimation means uses this pre-stored information to calculate movement state at the start of tracking, eliminating the need to wait for multiple scans during tracking initiation.
Solution Approach 2:
The storage means acts as a cushion by retaining detection information from past scans. This beforehand cushioning allows the estimation means to immediately access historical data when tracking begins, preventing time lag and ensuring accurate movement state estimation without waiting for accumulated observation data.
2Measurement precision
If the tracking device stores detection information from past scans to enable accurate movement estimation at tracking start, then the measurement precision is improved, but the quantity of substance (memory capacity) increases
Solution Approach 1:
The system extracts only the necessary detection information from past scans and stores it in the storage means. The estimation means selectively uses this extracted information to calculate movement state, avoiding the need to store all raw data and reducing memory requirements while maintaining estimation accuracy.
Solution Approach 2:
Instead of storing all detection information from all past scans, the system uses partial action by selectively storing and using only the necessary detection information for movement state estimation. This approach achieves sufficient accuracy without the excessive memory capacity required for complete data retention.
3Loss of time
If the tracking device uses stored detection information to estimate movement state at tracking start, then the loss of time is reduced, but the device complexity increases
Solution Approach 1:
The tracking processing device is segmented into distinct functional modules: storage means for holding detection information, estimation means for calculating movement state, and tracking means for executing tracking operations. This segmentation allows each component to perform its specific function efficiently, reducing overall system complexity while enabling rapid movement state estimation.
Solution Approach 2:
The estimation means acts as an intermediary between the storage means and the tracking means. It processes the stored detection information to produce movement state estimates, serving as a mediator that bridges historical data and current tracking operations, thereby reducing time lag without requiring direct complex interactions between all system components.
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 enables more accurate and rapid estimation of the target's movement state, reduces memory needs, and minimizes calculation burdens, allowing for efficient tracking processing with reduced latency and lower memory requirements.
Implementation Method 1
a tracking information detector that extracts information for tracking a target from an echo signal
Implementation Method 2
characteristic information like shape and Doppler shift
Data Source
AI summary
There are provided a tracking processing device and a tracking processing method with which time lag from the receipt of a command to track a target until the movement state of this target is estimated more accurately can be reduced, the calculation burden can be reduced, and the memory capacity can be reduced. A tracking processing device 3 has an echo detector 9 and a tracking processor 11. The tracking processor 11 includes a characteristic information memory 41. The echo detector 9 detects information on tracking representative points P for one or more targets. The characteristic information memory 41 stores the information on the tracking representative points P at a plurality of time-points. The tracking processor 11 tracks the tracking target selected from among a number of targets. The tracking processor 11 uses information stored in a characteristic information memory 41 to estimate an estimated speed vector V5(n) for this tracking target at the start of tracking of the tracking target.