Multi-target recognition method of vehicle radar based on FMCW

Abstract

The invention discloses a multi-target recognition method of vehicle radar based on FMCW. The method includes the following steps: vehicle radar continuously emits frequency modulated continuous wavesto the front, wherein the frequency modulated continuous wave in each period is composed of three sub periodic modulated waves, the periods of the sub periodic modulated waves are T, and each sub periodic modulated wave is composed of a triangular wave band and a constant frequency band; mixing the emitted frequency modulated continuous waves and the received echo, and outputting beat signals; performing FFT operation on the beat signals of the upper sweep frequency band, the lower sweep frequency band and the constant frequency band in the same period, and extracting the main frequency; matching the upper sweep frequency band, the lower sweep frequency band and the constant frequency band corresponding to each target in the same period; calculating the speed and distance of each target according to a corresponding frequency group obtained; and finally, taking the distance and speed simultaneously detected in three periods as the distance and speed of a real target. The false judgmentrate of false targets is reduced, and the correctness of target recognition is improved.

Description

technical field [0001] The invention belongs to the technical field of millimeter wave radar signal processing, and in particular relates to an FMCW-based vehicle radar multi-target recognition method. Background technique [0002] In recent years, with the rapid development of my country's road transport, the number of private vehicles has increased, and the reduction of urban road driving environment has caused an increase in the number of collisions and scratches caused by cars when driving on the road. Vehicle-mounted radar system, as a hotspot in the field of automotive active safety control and assisted driving research, can assist drivers in real-time monitoring of people, vehicles and other environments that affect road safety, actively intervene in driving in critical situations, and assist drivers in their actions. Make the right handling to prevent the car from colliding. Because millimeter waves have the advantages of high resolution, low probability of intercep...

AI Technical Summary

Problems solved by technology

In the above-mentioned processing method, powerful computing resources are required for frequency matching, and the matching conditions are difficult to determine in practical use, and the system response time is slow, so it is difficult to determine the correct speed and distance information of multiple targets in front of the vehicle in real time

Another example is the method of variable-period trapezoidal modulation wave, which identifies and eliminates false targets by changing the cycle of the trapezoidal wave and synthesizing the target detection results of different modulation cycles [Reference: Xue Xiaolong. Research on multi-target detection technology based on trapezoidal wave FMCW radar [D].Hangzhou: Hangzhou Dianzi University, 2014], but did not point out the size of the cycle change, the hardware implementation is more difficult in actual application, and the speed and distance resolution and speed and distance measurement error will be affected in the process of changing the cycle

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