Waveform self-adaptive adjustment vehicle-mounted radar anti-interference method

Abstract

The invention provides a waveform self-adaptive adjustment vehicle-mounted radar anti-interference method. The method comprises the following steps: S1, obtaining a radar interference signal; S2, detecting constant-frequency wave interference, and calculating a frequency value of the constant-frequency interference; S3, detecting the interference of the linear frequency-modulated wave, and calculating the modulation slope of the linear frequency-modulated wave; and S4, adjusting the parameters of the self-transmitted signals according to the detected information of the constant-frequency and linear frequency-modulated waves. According to the method provided by the invention, the interference signals can be actively detected, the self-transmitting signal parameters are changed according todifferent interference signals, the interference is avoided or the influence of the interference on a self-radar system is reduced as much as possible, the anti-interference capability of the millimeter-wave radar is improved, and the driving safety is improved. Compared with other vehicle-mounted radar anti-interference methods, the method provided by the invention is simple in detection parameter and easy to implement; intermediate-frequency signals with high signal-to-noise ratio can be obtained by actively detecting interference and adjusting transmitting signal parameters, and the complexity of rear-end signal processing is reduced.

Description

technical field [0001] The present invention relates to the application field of millimeter-wave radar, and more specifically, relates to an anti-jamming method for vehicle-mounted radar with adaptive waveform adjustment. Background technique [0002] With the continuous progress and development of technology, the field of smart cars and automatic driving technology is also constantly improving, and on-board radar is widely used in automotive advanced driver assistance systems (ADAS). Due to its good environmental adaptability, strong anti-interference ability, and high measurement accuracy, millimeter-wave radar has become an important means for automatic driving to identify, measure, and locate targets. When multiple vehicles equipped with millimeter-wave radar systems of similar specifications drive towards each other on the road, the millimeter-wave signals emitted by the oncoming vehicle will interfere with the millimeter-wave system of the own vehicle. This kind of in...

AI Technical Summary

Problems solved by technology

On the one hand, many methods will lead to the loss of useful signals while suppressing interference signals, which will degrade the overall signal quality, which greatly affects the detection performance of the system and brings serious safety hazards to autonomous driving; on the other hand, this Class methods are more complex, have higher requirements on the signal processing capability of the system, and increase the amount of calculation

When the car is driving on a complex road, it is faced with the coexistence of multiple interferences, which will bring huge troubles to the later signal processing.

The existence of multiple interferences will also increase the possibility of false targets, which makes the signal processing process more complicated

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