Radar Signal Processing Using Dual Coefficient Sets
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current radar signal processing methods are inefficient in handling phase modulated signals, which affects the reception quality and capability of radar devices, particularly in automotive applications where accurate detection and processing of signals are crucial for functions like adaptive cruise control and collision mitigation.
Innovation Solution
A method and device that utilize pre-determined sets of coefficients stored in memory to multiply input data, with one set for phase modulated and another for non-phase modulated signals, enabling efficient demodulation and windowing prior to Fast Fourier Transform (FFT) processing, allowing for improved signal processing and reception quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single set of coefficients is used for all input data, then the device complexity is reduced, but the processing efficiency and reception quality deteriorate when handling phase modulated signals
Solution Approach 1:
The patent divides the coefficient storage into two separate sets: one set for phase modulated signals and another set for non-phase modulated signals. This segmentation allows each coefficient set to be optimized for its specific signal type, improving processing efficiency and reception quality without significantly increasing overall device complexity.
2Device complexity
If phase modulated signals are processed using standard coefficients, then the device complexity is maintained, but the reception quality and detection capability deteriorate
Solution Approach 1:
The patent applies different coefficient characteristics to different signal types. The first set of coefficients is specifically designed with properties optimized for phase modulated signals, while the second set is optimized for non-phase modulated signals. This local quality differentiation ensures that each signal type receives the appropriate processing quality needed for accurate detection.
3Measurement precision
If separate coefficient sets are stored for different signal types, then the processing precision is improved, but the memory requirements and device complexity increase
Solution Approach 1:
The patent segments the coefficient storage into two distinct sets, allowing for optimized memory allocation. Each set can be sized appropriately for its specific signal type requirements, avoiding the waste that would occur with a single oversized coefficient set. This segmentation improves processing accuracy while managing memory resources efficiently.
Data Source
AI summary
An embodiment relates to a method for processing input data that includes multiplying a portion of the input data with a first set of coefficients or with a second set of coefficients, wherein the first set of coefficients and the second set of coefficients are stored in a memory, wherein the first set of coefficients is used on phase modulated input data and wherein the second set of coefficients is used on input data that are not phase modulated.