Mixed MIMO Radar Signal Discrimination

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Solution Overview

Problem

Current radar technologies, particularly those used in autonomous vehicles, face limitations in cost and performance, necessitating improvements for effective environmental sensing and decision-making in various circumstances.

Innovation Solution

The implementation of multiple input multiple output (MIMO) radar sensors employing a mixed MIMO modulation scheme with sub-set digital codes and Doppler-division codes to discriminate between different transmitters, enabling efficient encoding and decoding of radar signals for enhanced environmental sensing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional radar signal processing methods are used, then the system is simpler to implement, but angular resolution and target differentiation capability are insufficient

Engineering Contradiction:
Improveangular resolutionVSAvoidsignal processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the MIMO transmitter signals into multiple orthogonal sub-bands, with each sub-band carrying encoded signals from specific transmitters. This segmentation enables the receiver to process different transmitter signals separately through frequency-domain filtering, improving angular resolution while managing computational complexity through structured signal division

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces frequency domain processing as an additional dimension for signal separation. By transforming the time-domain MIMO signals into the frequency domain using FFT, the system creates a new processing dimension where orthogonal sub-bands can be independently analyzed, enhancing target differentiation capability without proportionally increasing time-domain computational load

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

2Reliability

If more MIMO transmitters are added to improve target detection capability, then environmental sensing accuracy improves, but computational overhead increases

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidcomputational efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent divides the MIMO transmitter array into multiple groups, with each group assigned to a specific orthogonal sub-band. This segmentation allows the receiver to process signals from multiple transmitters simultaneously by frequency-division multiplexing, maintaining high target detection accuracy while distributing computational load across parallel frequency-domain processing channels

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements a universal orthogonal sub-band structure that can accommodate any number of MIMO transmitters. The same frequency-domain processing framework handles signals from 2 transmitters as easily as from 8 or more transmitters, making the system scalable without proportionally increasing computational complexity for each additional transmitter

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If complex modulation schemes are used to discriminate between MIMO transmitters, then signal discrimination capability improves, but implementation complexity increases

Engineering Contradiction:
Improvetransmitter signal discriminationVSAvoidmodulation and decoding complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex time-domain modulation schemes with a simpler frequency-domain orthogonal sub-band assignment system. Instead of using complex phase and amplitude modulations to distinguish transmitters, the system assigns transmitters to different orthogonal frequency sub-bands, where simple frequency-domain filtering and FFT operations enable transmitter discrimination with reduced computational complexity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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 enhances the ability of radar sensors to accurately detect and differentiate targets, improving angular resolution and reducing computational overhead, thereby supporting more reliable autonomous vehicle operations in diverse conditions.

Implementation Method 1

radar, which is based on the emission, reflection and sensing of radio wave electromagnetic radiation within an environment to detect, and in some instances, determine the position and velocity of various objects within the environment

Methodology Applied
Scientific EffectElectromagnetic radiation:

Implementation Method 2

radar, which is based on the emission, reflection and sensing of radio wave electromagnetic radiation

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 3

Doppler-division codes that discriminate between different MIMO transmitters within each of the sub-sets

Methodology Applied
Scientific EffectDoppler effect: Doppler Effect

Data Source

PatentUS20240377541A1Mixed Multiple Input Multiple Output (MIMO) Radar
Publication Date: 2024.11.14 AURORA OPERATIONS INC
  • US20240377541A1 patent drawing
  • US20240377541A1 patent drawing
  • US20240377541A1 patent drawing

AI summary

A multiple input multiple output (MIMO) radar sensor encodes or decodes radar signals generated by multiple MIMO transmitters using a mixture of sub-set digital codes that discriminate between different sub-sets of MIMO transmitters and Doppler-division codes that discriminate between different MIMO transmitters within each of the sub-sets.