Radar Interpolated Sweep Azimuth for Complete Image Update
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Solution Overview
Problem
Conventional radar apparatuses struggle to update image data corresponding to one cycle of sweeping, leading to incomplete pixel data updates, especially at farther distances, and emphasize noise due to the high angle between real sweeps, resulting in unnatural and noisy images.
Innovation Solution
A radar apparatus that calculates and generates interpolated sweep data between adjacent real sweeps using an interpolated sweep azimuth calculator and sweep data former, ensuring optimal interpolation based on the interval between real sweeps, and corrects solitary data to prevent noise emphasis, thereby ensuring complete image data update and smooth intensity changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only real sweep data from single transmission is written into image memory, then device complexity is reduced, but pixel data at farther distances cannot be updated completely
Solution Approach 1:
The patent performs preliminary actions by storing multiple real sweep data sets in sweep memory before writing to image memory. This allows the system to pre-process and prepare interpolated sweep data in advance, ensuring complete pixel data updates at all distances without increasing overall system complexity.
Solution Approach 2:
The patent introduces an intermediary processing step that creates interpolated sweep data between adjacent real sweeps. This intermediary data acts as a bridge to fill gaps in pixel coverage, particularly at farther distances, without requiring complex hardware modifications.
2Measurement precision
If high transmission frequency is used for short-distance detection, then detection range is improved, but angle between real sweeps increases causing noise emphasis
Solution Approach 1:
The patent converts the harmful effect of large angles between real sweeps (which causes noise emphasis) into a benefit by using these same angular intervals to generate interpolated sweep data. The interpolation process transforms potential noise problems into opportunities for creating smoother, more complete detection images.
Solution Approach 2:
The patent changes the parameter of sweep data density by generating multiple interpolated sweeps between real sweeps. This increases the effective number of sweeps without changing the physical transmission frequency, thereby reducing noise emphasis while maintaining short-distance detection accuracy.
3Productivity
If antenna rotational speed is increased to improve detection coverage, then sweep coverage is improved, but pixel data density at farther distances decreases
Solution Approach 1:
The patent performs preliminary interpolation of sweep data while the antenna is rotating at high speed. By preparing interpolated data in advance based on stored real sweep data, the system maintains high rotational speed for coverage while ensuring sufficient pixel data density through computational interpolation.
Solution Approach 2:
The patent adds a computational dimension to the physical sweeping process. Instead of relying solely on physical sweep density, the system creates additional virtual sweeps through interpolation, effectively increasing data density without requiring slower antenna rotation.
Data Source
AI summary
A radar apparatus in which an interpolated sweep between adjacent real sweeps is formed irrespective of an interval between the real sweeps, and image data corresponding to one cycle of sweeping can be certainly updated. A sweep azimuth generator (12) generates and outputs an azimuth of sweep interpolated between a current and previous real sweep azimuth based on the current and previous real sweep azimuths, to a draw address generator (7). A sweep data generator (11) performs linear interpolation based on solitariness removed data of current real sweep data read from a sweep memory (4), and the previous solitariness removed real sweep data stored therein to generate and output interpolated sweep data to an image memory (8). The image memory (8) stores the solitariness removed real sweep data or the interpolated sweep data based on the real and interpolated sweep azimuths from the draw address generator (7), and outputs them to a display (9).