Radar Beam Control via Adaptive Spatial Density
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Solution Overview
Problem
Conventional radars face reduced target detection probability and shortened search distance when the target direction does not align with the beam emission directions, leading to inefficient beam arrangement.
Innovation Solution
A radar system with an information acquiring unit for direction and observation accuracy data, a beam arrangement determining unit to optimize beam placement, and a beam controlling unit to adjust beam directions based on this information, ensuring more beams are directed towards high target presence probability areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beams are arranged at fixed intervals to maintain uniform coverage, then the search data rate is improved, but the target detection probability decreases when targets are located between beam directions
Solution Approach 1:
The patent applies local quality by varying beam arrangement density according to spatial location - beams are arranged sparsely in regions with low target presence probability and densely in regions with high target presence probability. This is achieved by the beam arrangement determining unit that sets different beam intervals based on predicted target positions and probability distributions, thereby optimizing both search efficiency and detection probability in different spatial zones.
Solution Approach 2:
The patent implements dynamics by making the beam arrangement adaptive and time-varying. The beam arrangement determining unit continuously updates beam positions based on moving target prediction, observation accuracy information, and probability maps. This dynamic reconfiguration allows the radar system to track moving targets effectively while maintaining high search data rates, resolving the contradiction between fixed uniform coverage and adaptive detection probability.
2Reliability
If beams are concentrated in high probability directions to improve detection probability, then the target detection probability increases, but the coverage area decreases
Solution Approach 1:
The patent applies local quality by implementing non-uniform beam distribution where beam density varies according to target presence probability in different spatial regions. High probability regions receive concentrated beams for enhanced detection, while low probability regions maintain sparse coverage. This spatially adaptive approach preserves overall coverage area while optimizing detection probability in critical zones through probability-based beam arrangement determination.
3Device complexity
If uniform beam intervals are used to simplify beam arrangement, then the device complexity is reduced, but the search distance is shortened due to missed targets between beams
Solution Approach 1:
The patent applies preliminary action by using the prediction unit to predict future target positions and generate probability maps before beam arrangement is determined. This advance prediction allows the beam arrangement determining unit to proactively position beams in high probability regions, ensuring targets are detected before they move out of beam coverage. This preliminary positioning extends effective search distance while maintaining manageable system complexity through algorithmic optimization.
Data Source
AI summary
An information acquiring unit for acquiring direction information indicating the direction in which a target is to be searched for and observation accuracy information indicating the observation accuracy in the direction, and a beam arrangement determining unit for determining an arrangement of beams to be emitted by an antenna from the direction information and the observation accuracy information acquired by the information acquiring unit are provided, and a beam controlling unit controls the directions of the beams to be emitted by the antenna in accordance with the arrangement of beams determined by the beam arrangement determining unit.


