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Design And Implementation Of FPGA Signal Processing For Vehicle Detection Radar Based On LFMCW

Posted on:2022-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:X HuangFull Text:PDF
GTID:2512306752999349Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In modern society,with the rapid development of intelligent highway traffic management,traffic road information acquisition technology is particularly important,and linear frequency modulation continuous wave(LFMCW)radar is high-speed due to its high range resolution and strong anti-interference ability.Highway vehicle target detection provides ideas.This paper has completed the design and algorithm implementation of FPGA signal processing system based on LFMCW vehicle detection radar,which is suitable for highway vehicle detection scenarios.This paper mainly completed the following tasks:(1)Completed the design and simulation of the system scheme.First,the task requirements and parameter indicators are analyzed,and then according to the working principle of the LFMCW radar,combined with the actual situation,the complete signal processing flow of the vehicle target detection radar signal processing is given.Among them,the Keystone algorithm and speed fuzzy number compensation were used to solve the distance walking problem and speed fuzzy problem encountered in the detection of highway vehicle targets.Finally,the program was written in the MATLAB environment for simulation experiments to verify the feasibility of the entire signal processing process.(2)Design the system hardware circuit.Through multiple analysis from different angles,the overall hardware design scheme was determined.The circuit design of each module is explained in terms of chip selection,function realization and design considerations,including FPGA chip,power module,clock module,DSP chip,interface module and DDR3 module.(3)Realize CSI-2 interface communication based on FPGA.First,it analyzes the protocol mechanism of the CSI-2 communication protocol in detail,and then adopts the idea of modularization to divide the overall communication function into three sub-modules: a sending module,a receiving unpacking module,and a data repacking module.In the sending module,the cross-clock domain problem between the input data side and the D-PHY side is solved with the help of FIFO.(4)The FPGA hardware implementation of the signal processing algorithm is completed.Based on the system design scheme given in the theoretical simulation part,the specific realization and efficient optimization of the system design scheme are completed on the FPGA hardware circuit.From the three aspects of function analysis,function realization,and simulation timing verification,the main sub-modules in FPGA hardware realization include initialization configuration module,DBF beamforming module,SRIO communication module,data rearrangement module,Keystone transformation calculation module,speed fuzzy number compensation and the pulse pressure/MTD processing module is elaborated.In view of the resource consumption problem in the commonly used look-up table method for Keystone transform coefficient generation,a coefficient generation scheme combining look-up table and CORDIC core is designed to reduce hardware resource consumption.The FPGA signal processing system of the vehicle detection radar based on LFMCW designed in this paper realizes the real-time detection of highway targets and solves the problems of distance movement and speed ambiguity when detecting high-speed vehicle targets using traditional radar detection methods.The simulator verifies and tests each functional module on the signal processing system,which basically completes the functions of data transmission and signal processing.
Keywords/Search Tags:Vehicle detection radar, signal processing system, FPGA, CSI-2 protocol, Keystone transform
PDF Full Text Request
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