4D Radar Beamforming Using Interference-Orthogonal Subspace Projection

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Solution Overview

Problem

Current radar systems for automotive applications face high computational costs and inefficiencies in estimating angles for multiple targets due to the need to estimate noise and interference power, especially when determining both azimuth and elevation angles simultaneously.

Innovation Solution

The implementation of a 2D radar system with a 2D array of antenna elements that determines first angles without estimating noise or interference power, using a subspace projection matrix to calculate an interference-orthogonal subspace projection-based beamformer, which allows for efficient estimation of desired signal outputs and corresponding second angles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If adaptive beamforming techniques are used to increase signal strength and suppress interference, then measurement precision is improved, but device complexity increases due to high computational cost

Engineering Contradiction:
Improveangle estimation accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the angle estimation process into two distinct stages: first estimating azimuth angles using a computationally efficient 1D beamformer, then estimating elevation angles using the azimuth results as input. This segmentation avoids the need for complex 2D beamforming while achieving comparable accuracy, thereby reducing computational complexity without sacrificing measurement precision.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If 2D array processing is used to achieve high angular resolution, then measurement precision is improved, but device complexity increases due to expensive computer hardware requirements

Engineering Contradiction:
Improveangular resolutionVSAvoidhardware cost
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the 2D angle estimation problem into sequential 1D estimation tasks. By first processing the azimuth dimension and then the elevation dimension using the results from the first stage, the system achieves high angular resolution comparable to full 2D processing but with significantly reduced hardware requirements and computational burden.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transforms the complex 2D angle estimation problem into a sequence of 1D estimation problems. By processing one dimension at a time (azimuth first, then elevation) and using the results from the first dimension as input to the second, the system achieves equivalent performance to 2D processing with reduced computational complexity and hardware cost.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If noise and interference power estimation is performed for each target, then measurement precision is improved, but productivity decreases due to computational inefficiency

Engineering Contradiction:
Improveangle estimation accuracyVSAvoidprocessing efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the processing workflow to perform noise and interference power estimation only once at the beginning, before target-specific angle estimation. This approach maintains measurement precision by ensuring accurate noise characterization for each target while significantly improving productivity by avoiding redundant computations across multiple targets.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentEP4339647A1Multiple-target, simultaneous beamforming for four-dimensional radar systems
Publication Date: 2024.03.20 APTIV TECHNOLOGIES AG
  • EP4339647A1 patent drawingFigure 1
  • EP4339647A1 patent drawingFigure 2
  • EP4339647A1 patent drawingFigure 3

AI summary

This document describes techniques and systems of multiple-target, simultaneous beamforming for four-dimensional (4D) radar systems for efficient angle estimation in two dimensions with a high dynamic range. For example, a processor can use electromagnetic (EM) energy received by a two-dimensional (2D) array to determine first angles in a first dimension associated with one or more objects. The processor can then determine a subspace projection matrix using the first angles without an estimate of the power of noise or interference signals in the received EM energy. Using the subspace projection matrix, the processor can determine an interference-orthogonal subspace projection-based beamformer. With the interference-orthogonal subspace projection-based beamformer, the processor can determine the desired signal output from an adaptive beamformer for the EM energy and second angles corresponding to respective first angles for the objects.