FCM Radar Computation Control for Target Detection Accuracy
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Solution Overview
Problem
Current radar systems, particularly those using FMCW and FCM modes, face challenges in accurately detecting targets with different speeds, such as pedestrians and bicycles, due to limitations in distance and speed resolution, leading to potential oversight of certain objects in complex environments.
Innovation Solution
An information processing device and method that incorporates a control unit to dynamically adjust the computation processing mode of an FCM mode radar based on detection results from another sensor, such as a camera or LiDAR, to prioritize computation resources and enhance detection accuracy by selecting specific measurement targets and adjusting computation accuracy and area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FCM mode radar performs high-resolution computation processing for all detected targets, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent applies local quality by performing high-resolution computation processing selectively on specific targets rather than uniformly on all targets. The control unit determines which targets require high-precision processing based on their characteristics and prioritizes them, while other targets receive standard processing. This resolves the contradiction by concentrating computational resources on critical areas where high measurement precision is most needed.
Solution Approach 2:
The patent segments the computation processing into different levels: high-resolution processing for prioritized targets and standard processing for other targets. The control unit divides the set of detected targets into groups based on their importance and applies appropriate processing intensity to each group, thereby reducing overall device complexity while maintaining high measurement precision for critical targets.
2Measurement precision
If FCM mode radar increases frequency modulating speed to expand distance resolution and speed detection, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent applies dynamics by dynamically adjusting the frequency modulating speed of the radar based on detection needs. Rather than operating at maximum frequency modulating speed continuously, the system adapts the modulation speed according to the priority and characteristics of detected targets, reducing power consumption while maintaining high distance resolution when needed.
Solution Approach 2:
The patent changes operational parameters (frequency modulating speed) based on detection requirements. The control unit adjusts the frequency modulating speed parameter dynamically, increasing it for high-priority targets requiring high distance resolution and decreasing it for lower-priority targets, thereby optimizing the balance between measurement precision and power consumption.
3Measurement precision
If FCM mode radar performs comprehensive computation processing on all targets, then measurement precision is improved, but loss of time increases due to processing overhead
Solution Approach 1:
The patent applies preliminary action by having the control unit pre-determine the priority and necessary computation processing level for each target before executing the full processing pipeline. This preliminary classification allows the system to avoid unnecessary high-resolution processing on low-priority targets, reducing computation processing time while maintaining high measurement precision for critical targets that require it.
Solution Approach 2:
The patent applies partial action by performing comprehensive high-resolution computation processing only on a subset of prioritized targets rather than on all detected targets. The control unit identifies which targets require partial (reduced) processing and which require full processing, thereby reducing overall computation processing time while maintaining high measurement precision where necessary.
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 improves the radar system's ability to accurately detect and prioritize targets, enhancing safety in ADAS and automatic driving systems by optimizing computation resources and reducing power consumption while maintaining performance.
Implementation Method 1
a millimeter-wave radar can detect obstacles that reflect radio waves
Implementation Method 2
an FMCW mode that uses a frequency modulated-continuous wave (FM-CW), which is a frequency-modulated continuous wave, as a radar wave
Implementation Method 3
a fast chirp modulation (FCM) mode radar device that uses a chirp signal, in which the frequency of a millimeter wave signal continuously and rapidly increases or decreases with the passage of time
Implementation Method 4
detecting a beat signal having a difference frequency between the transmitted signal and the received signal
Data Source
AI summary
Provided are an information processing device and an information processing method for processing detection information of a sensor, a computer program, an information processing system, and a mobile device.The information processing device includes a processing unit that performs computation processing of a detection signal of a radar of FCM mode, and a control unit that controls the computation processing mode in the processing unit on the basis of the detection result of another sensor. The radar is mounted on a vehicle and used, and the another sensor is a vehicle-mounted sensor of the same vehicle. The control unit controls at least one of the computation area or the computation accuracy of computation processing in the processing unit on the basis of the detection result of the another sensor.