Automotive Radar Signal Processing with Virtual Aperture Synthesis
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Solution Overview
Problem
Existing radar systems in the automotive sector face limitations in angular resolution due to restricted aperture size, which is constrained by installation space and cost considerations, leading to inadequate performance for road safety applications.
Innovation Solution
A method involving multiple radar units with overlapping fields of view, generating a discrete total coordinate system for co-registration of measurement data, and applying inverse synthetic aperture radar techniques to enhance angular resolution without increasing physical aperture size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the aperture size of the receiving antenna array is increased to improve angular resolution, then the angular resolution is improved, but the installation space requirements and system complexity increase
Solution Approach 1:
The patent transitions from a static two-dimensional antenna array to a dynamic three-dimensional virtual aperture by incorporating temporal dimension through vehicle motion. Multiple radar measurements taken at different positions during vehicle movement are synthesized to create a virtual aperture that exceeds the physical antenna array dimensions, achieving superior angular resolution without increasing the physical footprint of the receiving antenna array.
Solution Approach 2:
The patent creates a virtual copy of the antenna array at multiple positions along the vehicle's trajectory. By synthesizing radar measurements from these virtual array positions, the system constructs a virtual aperture that is much larger than the physical array, effectively copying the sensing capability across space and time to achieve high angular resolution.
2Object-generated harmful factors
If window functions are applied to improve sidelobe attenuation, then the sidelobe levels are reduced, but the angular resolution is further degraded
Solution Approach 1:
The patent resolves this contradiction by moving from conventional two-dimensional processing (range and angle) to three-dimensional processing that incorporates the temporal dimension of vehicle motion. This additional dimension enables the system to achieve both low sidelobe levels and high angular resolution simultaneously through virtual aperture synthesis, avoiding the need to apply window functions that would degrade resolution.
3Measurement precision
If the physical dimensions of the receiving antenna array are increased to improve angular resolution, then the angular resolution is improved, but the system complexity and cost increase
Solution Approach 1:
Rather than physically expanding the antenna array, the patent creates virtual copies of the array at multiple positions along the vehicle's path. This computational approach synthesizes the effect of a large physical array using measurements from a compact array taken over time, significantly reducing hardware complexity and cost while achieving the same angular resolution performance.
Solution Approach 2:
The patent transforms the static antenna array into a dynamic sensing system that leverages vehicle motion. The receiving antenna array remains physically compact, but its effective aperture dynamically expands as the vehicle moves, with measurements from different positions being synthesized to achieve high angular resolution without increasing physical dimensions or system complexity.
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
Improves angular resolution significantly, allowing for sharper object contours and detection of multiple scattering centers, especially in static scenarios, by synthesizing a larger effective aperture through vector velocity determination.
Implementation Method 1
radar systems emit or transmit frequency-modulated continuous-wave signals (FMCW signals) for ambient area detection
Implementation Method 2
precise radial distance and speed measurements are made possible with radar systems
Implementation Method 3
the receiving antenna array can be designed both one- and two-dimensionally
Data Source
AI summary
A method for signal processing of radar signals of a radar system (100) has at least two radar units (10, 20) arranged at a known distance from one another. At least one spatial field of vision (FoV) of the radar system (100) is captured with radar signals of the at least two radar units (10, 20). A discrete total coordinate system is generated from the field of vision (FoV). Measurement data of the at least two radar units (10, 20) of the radar system (100) generated by the detection of the field of vision (FoV) are co-registered. A multidimensional, vector velocity ({right arrow over (v)}) for at least one resolution cell of the discrete total coordinate system and/or a multidimensional, vector velocity ({right arrow over (v)}100) for the radar system (100) are generated. At least one spatial sub-field of the field of vision (FoV) is constructed using the determined vector velocity ({right arrow over (v)}) and/or the vector velocity ({right arrow over (v)}100) for the radar system and with the measurement data of at least one of the radar units (10, 20).


