Method for detecting frequency domain constant false alarm of vehicle-mounted millimeter-wave anti-collision radar system

Abstract

The invention discloses a method for detecting frequency domain constant false alarm of a vehicle-mounted millimeter-wave anti-collision radar system, which belongs to the field of processing automotive anti-collision radar signals. The method comprises the following steps: when targets are located at the front of the anti-collision radar system, dividing the sampling data of the return signals which are pre-processed through a DSP (digital signal processor) module in the system into a frequency modulation ascending section and a frequency modulation descending section, and then storing the sampling data to an RAM (random access memory); conducting FFT (fast fourier transformation) template on the storage data, and then conducting the frequency domain constant false alarm detection on the obtained peak value points of a frequency spectrum based on order statistics, thus detecting the spectral lines of the effective targets from the signal frequency spectrum which contains noise waves; removing false targets by using the noise wave pairs; finally calculating the speed, the distance and the phase angle information of the targets according to the matched frequency spectrum information for analyzing and early warning of the system. According to the method in the invention, the false alarm rate of the detection of the anti-collision radar system is reduced effectively and the real time property and the effectiveness of the system are improved.

Description

technical field [0001] The invention relates to an anti-collision radar system, in particular to a frequency domain constant false alarm detection method of a millimeter-wave anti-collision radar system, and belongs to the field of automobile anti-collision radar signal processing in the automobile active safety control technology. Background technique [0002] With the rapid development of expressways, traffic accidents are also increasing day by day. According to statistics, vehicle collision accidents account for about 90% of the total road traffic accidents, and human factors are the main cause of automobile collision accidents. The car anti-collision radar system can assist the driver to monitor the people, vehicles and road environment that affect the road traffic safety in real time, actively intervene in driving or assist the driver to make correct handling in critical situations, so as to avoid vehicle collision accidents. [0003] Because millimeter waves have a s...

AI Technical Summary

Problems solved by technology

In practical applications, due to the ever-changing road environment, the signal is often submerged in the noise. When detecting the signal, the existing method is usually a simple threshold detection. This method will obviously lead to serious false alarms and missed alarms.

There are also some anti-collision radar systems that mix multiple complex algorithms together to improve system performance, which greatly increases hardware overhead, increases cost, and reduces economy, making it difficult to popularize and use

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