| Car is one of the most important means of transport in modern society. Along with the country’s rapid economic development and the advancement of technology, highway,automotive industry, as well as logistics and transport also have been taking great pace,which in turn brings great improvement in daily life by the rapid increase in production and consumption of motor vehicles. However, due to the great population in China,issues such as traffic congestion and accidents seriously affected our daily life, resulting in significant loss of life and economic. Anti-collision radar device, that is, automotive collision warning system was a smart device aims to prevent collision between cars. It automatically finds a possible collision with the motor vehicles, pedestrians, or other obstacles, alerting drivers or taking measures such as braking to avoid the upcoming collision. Applying the anti-collision radar device in each vehicle can obviously improve the efficiency of road transport and reduce the probability of traffic accidents to a large degree.The design in this thesis is an application-oriented research aims to implement a convenient system similar to the experimental platform. The main target of the design is to provide a feasible solution for automotive anti-collision radar based on LFMCW which can obtain the speed of the vehicle in the same lane and the distance between as accurate as possible in real-time condition and inclement weather environment. In the design, the automotive anti-collision radar system’s control section is implemented by a FPGA to filter and amplify 4-channel radar echo signals. The output of FPGA will finally send to PC through USB after AD conversion. It is then very convenient to test every possible signal processing algorithms under VC and Matlab platform to find an appropriate algorithm by comparison to support the design of the automotive anti-collision radar devices.The main works of this thesis include the following issues.(1) Radar front end calibration,(2) System design, aiming mainly to verify the signal processing algorithms conveniently under a variety of conditions,(3) Circuit schematic and PCB design according to system performance metrics,radar front-end echo signal properties, ADC input signal requirements and USB controller transmission characteristics,(4) FPGA control program design to realize the control of DAC module, ADC module and USB module,(5) USB firmware and driver design for the communications between USB and computer,(6) VC control interface platform design, including the control of the frequency and amplitude of the modulated triangular wave signal, ADC sampling rate, the different channels of data acquisition and the transmission,(7) Matlab data processing algorithm simulation to verify the performance of signal processing algorithms under different conditions.All the function modules are integrated on a single PCB board to construct a reasonable test platform to measure stationary and moving targets, and analyze and process the collected data using various algorithms.Errors can be easily calculated by comparing the distance and speed obtained from the experiments and practices, and then corrected by improving the hardware, software and signal processing algorithms respectively. Experimental results show that the design well meets all the performance metrics. |
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