Motor Vehicle Radar System Hypothesis Validation
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Solution Overview
Problem
Radar systems in motor vehicles face challenges in achieving high measuring accuracy and reliably distinguishing real objects from ghost targets while maintaining a high update rate, due to the need for multiple frequency ramps and sequential measurement cycles.
Innovation Solution
The method involves forming hypotheses on object distances and speeds using a single pair of chirps in a measuring cycle and validating them in a subsequent cycle, allowing for reduced measuring cycle duration and increased update rate without compromising validation reliability, using techniques like LFMCW with two frequency ramps and alternating chirp slopes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple frequency ramps are used for validation of object parameters, then measurement reliability is improved, but measuring cycle duration increases and update rate decreases
Solution Approach 1:
The patent forms hypotheses for object parameters using a first pair of frequency ramps in a first measuring cycle, then validates these hypotheses using a second pair of frequency ramps in a second measuring cycle. This preliminary formation of hypotheses followed by validation in a subsequent cycle allows the system to maintain high measurement reliability while reducing the duration of individual measuring cycles, thereby increasing the update rate.
2Measurement precision
If multiple frequency ramps are used for validation, then distinction of real objects from ghost targets is improved, but measuring cycle duration increases
Solution Approach 1:
The patent performs preliminary hypothesis formation for object parameters using the first pair of frequency ramps, then uses the second pair of frequency ramps in a subsequent measuring cycle to validate these hypotheses. This two-stage approach with validation in a separate cycle enables accurate distinction of real objects from ghost targets while keeping individual measuring cycle durations short.
3Reliability
If sequential measurement cycles with multiple frequency ramps are used, then validation reliability is improved, but time consumption increases
Solution Approach 1:
The patent forms hypotheses for object parameters in advance during a first measuring cycle using a first pair of frequency ramps, then validates these pre-formed hypotheses in a second measuring cycle using a second pair of frequency ramps. This preliminary hypothesis formation followed by dedicated validation in a subsequent cycle improves validation reliability while optimizing time consumption by avoiding redundant measurements within the same cycle.
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
This approach enables a higher update rate with maintained reliability, allowing for efficient distinction of real objects from ghost targets, and reduces the duration of individual measuring cycles by using chirps from different cycles for validation.
Implementation Method 1
radar signals emitted by the radar system are increased and reduced again in a ramp form
Implementation Method 2
Due to the Doppler effect, the radial relative speed vr, that is to say that present in the direction of a connecting line between the radar system and reflecting object, is also reflected in the difference frequency
Data Source
AI summary
Presented is a method for determining speeds (vr14, vr16) and distances (r14, r16) of objects (14, 16) relative to a radar system (12) of a motor vehicle (10), wherein a coverage area (EB) of the radar system (12) is divided into at least two part-areas (TB1, TB2, TB3), the coverage area (EB) is examined for reflecting objects (14, 16) in successive measuring cycles (MZ1, MZ2; MZi, MZi+1), wherein radar signals received in a measuring cycle (MZ1, MZ2; MZi, MZi+1) are processed separated in accordance with part-areas (TB1, TB2, TB3) and processed signals are assembled to form a total result differentiated in accordance with spatial directions. The method is characterized in that from signals received in a first measuring cycle (MZ1; MZi), hypotheses for the distance (r14, r16) and speed (vr14, vr16) of reflecting objects (14, 16) are formed and the hypotheses are validated in dependence on signals received in at least one further measuring cycle (MZ2; MZi+2). Furthermore, a radar system (12) is presented which carries out such a method.