Road traffic monitoring radar and realization method thereof

Abstract

The invention provides a road traffic monitoring radar and a realization method thereof. The radar radiates an emission signal to the external, the emission signal includes a signal segment A and a signal segment B, the frequency of the signal segment A linearly increases according to a set stepping value, the frequency of the signal segment B linearly increases according to the same stepping value, and the initial frequency of the signal segment A is different from that of the signal segment B; the radar receives a reflection signal, in response to the emission signal, of one or multiple target in the radar detection range; and the radar analyzes the frequency spectrum of an intermediate frequency signal which is obtained frequency mixing of the reflection signal of a random target and the emission signal, and calculates the distance and speed information of the target corresponding to the intermediate frequency signal according to the frequency and phase difference of the intermediate frequency signal. The distance, speed and orientation of the target can be obtained in one modulation period, and the time efficiency is improved; and when the targets are arranged densely, distance and speed information of each target can be accurately discovered.

Description

technical field [0001] The invention relates to a road traffic monitoring radar and a realization method thereof, in particular to a road traffic monitoring radar device based on an FMSK system and a realization method thereof. Background technique [0002] With the development of the national economy, China's road traffic has achieved rapid development, and the production and ownership of automobiles have hit record highs year after year. Therefore, the management of road traffic and scientific guidance have become particularly important, and the concept of intelligent traffic has also been brought up. agenda. In the face of increasingly serious traffic problems, traditional solutions are showing their limitations more and more, and the new field of intelligent transportation integrated with information technology has gradually begun to be paid attention to and vigorously developed by the world; practice has proved that intelligent transportation systems It will become the...

AI Technical Summary

Problems solved by technology

[0007] A narrow-beam speed-measuring radar set for highway vehicle monitoring (publication number: CN101520510), which rationally combines multiple radars and solves the problem of multiple radars working together, but requires multiple radar devices, which increases the cost and Poor multi-targeting capabilities

A single radar multi-lane intelligent speed measurement method and its system (publication number: CN104424804A), which requires radar detection vehicle records and video detection vehicle records to judge, determine the video trigger that matches the radar trigger, and then determine the vehicle speed; this method The radar equipment and its corresponding debugging and calibration work are added, which is more complicated

[0008] A speed measuring radar system with vehicle direction discrimination function (publication number: CN102445689A), which cannot identify multiple targets

A high-precision speed measuring and ranging laser radar system and speed measuring and ranging method (authorized announcement number: CN101236253B), which can obtain the speed and distance information of the target, but the multi-target processing ability and all-weather working characteristics are not good, which affects the speed and distance in harsh environments. use

A coded frequency hopping ranging and speed measuring method and radar (authorized announcement number: CN100370276C), which can obtain distance and speed information, but is prone to false targets and multi-target processing capabilities

Based on the high-precision real-time microwave speed measurement and ranging device (publication number: CN103630888A) based on the symmetrical triangular LFMCW radar, the symmetrical triangular LFMCW radar has realized the simultaneous high-precision speed measurement and ranging of the moving target; but this method is more complicated to process, and the cost is higher. High consumption, large amount of computation

[0009] A method and device for measuring the distance and relative speed of multiple targets (authorized announcement number: CN100538395C), which works according to the FMCW principle, often adopts different slopes when dealing with multi-target problems, and uses different ascending slopes and descending slopes to obtain The distance and speed information of the target solves the distance-speed coupling problem to a certain extent, but in the case of dense traffic flow, its multi-target resolution, target recognition ability, false alarm rate and missed alarm rate cannot meet the requirements of intelligent traffic. In addition, it also has the following deficiencies when dealing with multiple targets:

[0010] 1. The resolution of multiple targets is not high, and it cannot be correctly distinguished when there are dense targets;

[0011] 2. The amount of calculation is large, and multiple cycles and multiple modulation slopes are required to truly obtain the distance and speed information of the target;

[0012] 3. It is easy to appear false targets and lose real targets. When solving targets between the distance and speed combination values ​​​​of different modulation slopes, they cannot be matched correctly or wrongly matched.

[0013] So far, there is no traffic radar device with low production cost, compact structure, small size, low processing complexity, high stability, excellent performance, and reliable circuit performance, which is capable of speeding management, bayonet management, and red light management. , traffic flow statistics and other full-featured application requirements as the basic equipment of the modern traffic safety management system

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