FMCW Radar Motion Parameter Estimation for Adaptive Cruise Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current adaptive cruise control systems face challenges due to high computational load and long observation times required for accurate detection, leading to unsatisfactory practical application in preventing collisions.
Innovation Solution
A motion parameter estimating method using frequency modulation continuous wave signals, which allows for accurate estimation of motion parameters and angles with low computational load, and a determination method to assess the reliability of estimated angles, employing formulas to calculate relative distance, speed, and angles between electronic devices and targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current adaptive cruise control systems use traditional detection methods, then detection accuracy can be maintained, but computational load increases and observation time lengthens
Solution Approach 1:
The patent extracts and utilizes the Doppler frequency component from the reflected FMCW signal to directly determine motion parameters. By separating the Doppler frequency extraction as a distinct step from traditional complex signal processing, the system achieves accurate detection with reduced computational burden, directly addressing the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent replaces traditional mechanical/computational detection methods with electromagnetic wave-based FMCW radar signaling. By using frequency modulation and Doppler effect analysis instead of complex mechanical sensing or extensive computational algorithms, the system achieves accurate motion parameter detection with significantly lower computational load
2Measurement precision
If current adaptive cruise control systems use traditional detection methods, then detection accuracy can be maintained, but observation time increases
Solution Approach 1:
The patent performs preliminary frequency modulation of the transmitted signal to encode motion information directly in the frequency domain. By pre-modulating the signal with known frequency patterns, the system enables rapid extraction of motion parameters through simple frequency comparison, eliminating the need for long observation periods typically required in traditional methods
Solution Approach 2:
The patent replaces time-intensive traditional detection methods with electromagnetic frequency-based measurement. By using FMCW signaling where motion parameters are encoded in frequency shifts rather than requiring temporal analysis of mechanical movements, the system achieves accurate detection with minimal observation time
3Productivity
If adaptive cruise control systems improve computational efficiency, then processing speed increases, but detection accuracy may deteriorate
Solution Approach 1:
The patent extracts only the essential Doppler frequency component from the reflected signal, discarding unnecessary signal processing steps. This selective extraction maintains detection accuracy by focusing on the critical motion information while dramatically reducing computational requirements, thus resolving the contradiction between productivity and measurement precision
Solution Approach 2:
The patent employs simple frequency comparison methods instead of complex, computationally expensive algorithms. By using straightforward frequency measurement and comparison techniques that are computationally inexpensive, the system achieves rapid processing without sacrificing detection accuracy, effectively balancing productivity and measurement precision
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 method provides accurate and efficient estimation of motion parameters and angles, enhancing the reliability of adaptive cruise control systems by reducing computational load and improving detection accuracy.
Implementation Method 1
a first frequency modulation continuous wave (FMCW) signal is transmitted
Implementation Method 2
each of the at least one antenna receives a second frequency modulation continuous wave signal resulted by a target reflecting the first frequency modulation continuous wave signal
Data Source
AI summary
A motion parameter estimating method, an angle estimating method and a determination method are provided. The methods are adapted for an electronic device. In the angle estimating method, a first frequency modulation continuous wave signal is first transmitted, and at least one antenna receives a second frequency modulation continuous wave signal resulted by a target reflecting the first frequency modulation continuous wave signal. Multiple motion parameters associated with the target are then obtained according to the first frequency modulation continuous wave signal and the second frequency modulation continuous wave signal. Multiple measured values corresponding to the at least one antenna are obtained according to the motion parameters and configuration parameters of the at least one antenna, respectively. Afterwards, the measured values are substituted into a formula to obtain an estimated angle between a preset direction of the electronic device and the target.