Car networking perceptual system based on OFDM and radar-communication integration, and construction method thereof

Abstract

A car networking perceptual system based on OFDM and radar-communication integration comprises a data fusion unit, a driving-information obtaining unit, an echo signal extraction unit, a signal modulation unit, a signal demodulation unit, and a wireless transceiving unit, which are connected with each other. A construction method of the car networking perceptual system based on OFDM and radar-communication integration comprises thirteen steps. By using OFDM to finish the modulation and transmission sharing of self driving information in the invention, on one hand, the car networking perceptual system could demodulate the travelling speed, working condition and movement characteristic data of other vehicles in a cooperative communication mode, on the other hand, a non-cooperative radar detection mode could be used to measure the relative position and motion information between the car and other vehicles around the car so as to provide peripheral target movement conditions for a driver or an automatic drive system in real time to help the driver or the automatic drive system to adopt necessary reasonable measures, thereby improving traffic safety.

Description

technical field [0001] The present invention is an OFDM radar communication-based integrated vehicle network perception system and its construction method. It adopts Orthogonal Frequency Division Multiplexing (OFDM), radar signal processing and other related technologies to realize both non-cooperative detection and cooperative communication. The organic combination of these methods improves vehicle intelligence and driving safety, and belongs to the field of digital signal processing. Background technique [0002] The Internet of Vehicles refers to the use of advanced sensing technology, network technology, etc. to comprehensively perceive the operating conditions of roads and vehicles, and to realize large-scale and large-scale data interaction between multiple systems, which can be applied to many aspects such as driving safety and infotainment. , while enriching the vehicle entertainment system, it enhances the safety performance of the vehicle. [0003] At present, in ...

AI Technical Summary

Problems solved by technology

First of all, the position information of one's own vehicle mainly depends on the positioning information of the Global Positioning System (GPS), while the accuracy of the civilian GPS signal is about 10 meters, so it cannot meet the requirements of the safety distance of the vehicle during normal driving.

Secondly, due to the closed nature of the automobile industry chain, most manufacturers design the Internet of Vehicles as a closed system, and vehicles from different manufacturers cannot communicate with each other, which greatly limits the possibility of information interaction between different vehicles and reduces the Application Effectiveness of Networking in Driving Safety

Third, although more and more vehicles are equipped with radar probes all over the front and rear of the vehicle, xenon headlights with high brightness and long irradiation distance, and even laser headlights, the existing radar probes are mainly used in low-speed parking, reversing, etc. , its effective detection distance is generally within 2 meters, which cannot provide a safe distance for vehicles driving at high speeds; in addition, although high-brightness headlights and laser headlights can provide a longer irradiation distance for vehicles, they cannot be detected in rain, fog, etc. In severe weather conditions, its operating distance will be greatly shortened. At the same time, the effect of black and other dark color targets will be further reduced due to weak reflected light.

Although the communication system and the radar system have their own strengths in environmental perception, due to the differences in design requirements and processing methods between the two, the radar and communication fusion application of OFDM is still in its infancy.

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