Radar Data Superposition Using Polar Coordinates to Cut Memory Load
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Solution Overview
Problem
Existing radar systems face high memory storage requirements and inefficient data processing due to the conversion between polar and Cartesian coordinate systems, leading to increased storage capacity needs and processing time.
Innovation Solution
The proposed system converts radar data into polar coordinates, adjusts axial positions, superimposes data, and then converts it into Cartesian coordinates, reducing the need for multiple storage capacities and optimizing processing by using conversion tables and dedicated hardware for axial position and coordinate conversions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar data is converted into Cartesian coordinate data items for each antenna, then the data can be processed and displayed, but the necessary storage capacity of memory becomes large
Solution Approach 1:
The patent divides the radar observation data processing into two distinct coordinate systems: polar coordinates for storage and Cartesian coordinates for processing. By segmenting the data representation into these two forms, the system maintains compact storage using polar coordinates while enabling efficient processing through selective conversion to Cartesian coordinates only when needed for superposition and display operations.
Solution Approach 2:
The patent utilizes coordinate system transformation as a dimensional change strategy. Radar data is stored in polar coordinates (r, θ) which are more compact, and converted to Cartesian coordinates (x, y) only when processing requires superposition of multiple antenna data. This dimensional transformation allows the system to optimize both storage efficiency and processing capability without requiring large memory capacity for Cartesian data.
2Adaptability or versatility
If Cartesian coordinate data items are generated for each radar antenna, then data superposition can be performed, but processing time increases due to repeated coordinate conversions
Solution Approach 1:
The patent performs preliminary conversion of radar data to polar coordinates immediately upon acquisition and stores it in that format. By preparing the data in polar coordinates upfront, the system avoids the need for repeated Cartesian conversions during processing. When superposition is required, the system converts only the necessary portions to Cartesian coordinates, performs the superposition operation, and then converts back to polar coordinates for storage, significantly reducing processing time.
Solution Approach 2:
The patent uses polar coordinates as an intermediary representation format between data acquisition and final processing. Instead of directly converting all radar data to Cartesian coordinates, the system maintains polar coordinates as an intermediate state that preserves storage efficiency while enabling selective conversion to Cartesian coordinates only when superposition operations are required, thus minimizing processing time.
Data Source
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AI summary
A semiconductor device includes a data obtaining unit that obtains a plurality of data items each indicating a result of observation from a plurality of radars for observing surroundings, converts the plurality of data items into data items in a polar coordinate format, and stores them in a storage unit, an axial position converting unit that performs conversion on the plurality of data items in the polar coordinate data format stored in the storage unit so that their axial positions will be the same, generates the plurality of data items on which axial position conversion has been performed, and stores them in the storage unit, a data superimposing unit that superimposes the plurality of data items on which the axial position conversion has been performed to generate superimposed data, and a coordinate converting unit that converts the superimposed data into data in a Cartesian coordinate format.