Radar Angular Resolution via Velocity Hypothesis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar systems have limited angular resolution, making them less suitable for autonomous vehicle operation in adverse weather conditions compared to LIDAR systems, which are not robust in such conditions.
Innovation Solution
A radar system with an antenna and processor that transmits and receives signals to calculate a beamforming spectrum by applying an angle offset based on a velocity hypothesis, allowing for the identification of angular positions of multiple targets and iterative adjustment of the velocity hypothesis to achieve optimal resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar systems are used, then robust operation in adverse weather conditions is achieved, but angular resolution is insufficient for autonomous vehicle operation
Solution Approach 1:
The patent applies dimensionality change by utilizing the time dimension through multiple sequential measurements. Instead of relying solely on spatial antenna elements, the system performs repeated measurements over time and combines them through coherent integration. This temporal dimension allows the radar to achieve angular resolution beyond what a single snapshot could provide, effectively trading measurement time for improved angular precision while maintaining weather robustness.
Solution Approach 2:
The patent implements preliminary action by performing velocity hypothesis generation and angle offset calculation before the actual beamforming spectrum calculation. The system pre-computes the velocity hypotheses and corresponding angle offsets based on predicted target motion, then uses these pre-calculated values to guide the signal processing. This preliminary preparation enables the system to efficiently search through possible velocity scenarios and select the optimal one for accurate target localization.
2Measurement precision
If multiple measurements are taken to improve angular resolution, then measurement precision increases, but processing time increases
Solution Approach 1:
The patent reduces processing time by performing velocity hypothesis generation and angle offset calculation in advance, before the computationally intensive beamforming spectrum calculation. By pre-computing these parameters based on predicted target velocities, the system avoids recalculating them for each measurement, significantly reducing the overall processing time while still achieving high angular resolution through multiple measurements.
Solution Approach 2:
The patent applies dynamics by implementing an iterative velocity hypothesis testing mechanism. The system starts with an initial velocity hypothesis, calculates the corresponding beamforming spectrum, evaluates the results, and then updates the velocity hypothesis for the next iteration. This dynamic, adaptive approach allows the system to converge to the optimal velocity estimate efficiently, reducing the number of measurements needed compared to exhaustive search methods.
3Measurement precision
If velocity hypothesis is iteratively adjusted to achieve optimal resolution, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent manages processing complexity through dynamic, iterative velocity hypothesis adjustment. Instead of requiring complex parallel processing of all possible velocity scenarios simultaneously, the system sequentially refines the velocity estimate based on previous results. Each iteration builds on the previous one, gradually converging to the optimal velocity hypothesis. This dynamic approach achieves high angular resolution while keeping computational complexity manageable through incremental refinement rather than exhaustive simultaneous analysis.
Data Source
AI summary
A radar system may include an antenna structured to transmit a radar signal and receive reflected radar signals from targets and a processor operably connected to the antenna. The radar system may receive a first reflected signal, having a first arrival angle, at a first time. The radar system may receive a second reflected signal, having a second arrival angle at a second time. The second arrival angle may be equal to the first arrival angle plus an angle offset calculated based on a velocity hypothesis. The radar system may translate the first vector by applying the angle offset, thereby calculating a translated first vector. The radar system may calculate a beamforming spectrum based on the translated first vector and the second vector. The radar system may identify peaks in the beamforming spectrum to identify angular positions of multiple targets.