Stepped Frequency Waveform for Radar Signal-to-Noise Ratio
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar systems in autonomous vehicles face inaccuracies in tracking objects due to noise in signal reflections, especially in dynamic driving situations, leading to unsafe and uncomfortable driving behaviors.
Innovation Solution
A parameter-defined stepped frequency waveform is used in radar systems, which increases the signal-to-noise ratio by defining the frequency change between chirps, allowing for accurate range and range rate determination in the frequency domain and subsequent high-accuracy tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar waveforms are used for signal transmission, then the radar system can operate and detect objects, but the signal-to-noise ratio is insufficient leading to measurement errors in dynamic driving situations
Solution Approach 1:
The patent applies parameter changes by modifying the frequency parameters of the radar waveform. Specifically, it uses a stepped frequency waveform where the frequency changes in discrete steps across multiple chirps, with each chirp having a different starting frequency. This parameter modification enables the signal to accumulate coherently in the frequency domain while noise remains random, thereby improving the signal-to-noise ratio and measurement precision for range and range rate determination.
2Measurement precision
If frequency domain transformation is performed to improve range and range rate determination, then measurement accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining the frequency steps and chirp parameters before signal transmission. The stepped frequency waveform is designed in advance with specific frequency increments and chirp durations, which allows the received signals to be directly transformed using a two-dimensional Fast Fourier Transform algorithm. This preliminary design simplifies the real-time processing complexity while maintaining high 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
This approach enables more accurate radar tracking, reducing errors and improving the safety and comfort of vehicle operations by enhancing the signal-to-noise ratio and reducing noise-related inaccuracies.
Implementation Method 1
radar systems receive signals reflected off of objects in a field of view
Implementation Method 2
The radar receive signals can be transformed into a frequency domain to determine a range and range rate of the object
Data Source
AI summary
This document describes techniques, apparatuses, and systems for a parameter defined stepped frequency waveform for a radar system. A radar system transmits radar transmit signals including a parameter defined stepped frequency waveform with a specific change in frequency between chirps. The specified change in frequency may increase the signal to noise ratio of radar receive signals reflected off an object in the field of view. The radar receive signals may then be transformed into the frequency domain to determine a range and range rate of the object in the field of view. The range and range rate determined from the representation of the radar receive signals in the frequency domain may be output to a radar tracker to enable tracking of the object in the field of view. In doing so, accurate radar tracks may be generated that robustly track objects in the field of view of the radar system.