Software Defined Automotive Radar Interference Cancellation
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Solution Overview
Problem
Radar systems face challenges in adapting to various environments and performance objectives, such as range resolution, velocity resolution, and interference mitigation, which affects their ability to accurately detect and differentiate objects in diverse settings.
Innovation Solution
A radar system with adaptive capabilities, including software-controlled modification of transmitted signal characteristics and receiver processing, utilizing multiple transmitters and receivers, and advanced interference cancellation techniques to optimize performance based on external information and objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If radar systems use fixed transmission and reception processing, then the system structure is simple, but the system cannot adapt to different environments and objective functions
Solution Approach 1:
The patent implements dynamic adaptability by allowing the radar system to change transmission signal characteristics (bandwidth, frequency, power) and receiver processing parameters in real-time based on environmental conditions and objective functions. This dynamic reconfiguration enables the system to adapt to different detection scenarios without requiring multiple fixed hardware systems.
Solution Approach 2:
The system changes key parameters including transmitted signal bandwidth, frequency, power level, and receiver processing characteristics to optimize performance for different environments. By varying these parameters dynamically, the radar can adapt to diverse detection requirements while using a single hardware platform.
2Measurement precision
If radar systems increase transmission power and bandwidth to improve detection accuracy, then range and velocity estimation accuracy improve, but the system uses more energy and may cause more interference
Solution Approach 1:
The system dynamically adjusts transmission power and bandwidth parameters based on detection requirements and environmental conditions. When high precision is needed, the system increases power and bandwidth; when precision requirements are lower, it reduces these parameters to conserve energy.
Solution Approach 2:
The radar system uses feedback from environmental sensing and detection performance to continuously optimize transmission and reception parameters. This feedback mechanism allows the system to achieve accurate measurements while minimizing energy consumption by only using higher power and bandwidth when necessary.
3Measurement precision
If radar systems use multiple transmitters and receivers to improve object detection capability, then the system achieves better range, velocity, and angle estimation, but the device complexity increases
Solution Approach 1:
The patent divides the radar system into multiple independent transmitter and receiver modules, each capable of operating independently. This segmentation allows the system to achieve improved measurement precision through multiple simultaneous measurements while maintaining manageable complexity through modular architecture.
Solution Approach 2:
Multiple transmitters and receivers are designed with universal functionality to perform various detection tasks including range, velocity, and angle estimation. Each component can serve multiple purposes, reducing the need for specialized hardware for each function and thereby limiting the increase in overall system complexity.
4Reliability
If radar systems implement advanced interference mitigation techniques, then the system can operate effectively in interfered environments, but the processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary interference characterization and mitigation strategy selection before processing detection signals. By preparing interference models and processing parameters in advance, the system reduces real-time processing time while maintaining high detection reliability in interfered environments.
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
The system achieves improved range, velocity, and angle estimation accuracy, as well as effective interference mitigation, enabling better object detection and classification in different environments and scenarios.
Implementation Method 1
A radar typically transmits a radio frequency (RF) signal and listens for the reflection of the radio signal from objects in the environment
Implementation Method 2
In each receiver the received reflected radio signal is down-converted (with in-phase and quadrature signals)
Data Source
AI summary
A method for operating a radar sensing system includes configuring a transmitter to transmit a radio signal. A receiver is configured to receive radio signals. The received radio signals include the transmitted radio signal transmitted by the transmitter and reflected from objects in the environment. The method includes with advanced temporal knowledge of the codes used to modulate the transmitted radio signal, using code values of the plurality of codes, and in combination with a bank of digital finite impulse response (FIR) filters, generating complementary signals of any self-interference noise. The method further includes subtracting the complementary signals at one or more points in the receiver prior to the interference desensing the receiver. The radar sensing system further includes a frequency modulated continuous wave (FMCW) interference canceller for detecting the largest interference signals and sequentially cancelling them while signal processing the received radio signals.