Millimetre wave radar target detection method and system

Abstract

The invention discloses a millimetre wave radar target detection method and system. The method comprises the steps of: obtaining an upper swept-frequency emission signal and an echo signal of a millimetre wave radar; processing the emission signal and the echo signal, so that a swept-frequency complex signal is obtained; according to the swept-frequency complex signal, determining a distance spectrum function model of a radar target; according to the distance spectrum function model, determining a noise power estimation value; according to the noise power estimation value, determining a threshold value; and selecting a relatively high value between the threshold value and the set empirical threshold value as the final threshold value for judging the target. The method or the system in theinvention can reduce the false alarm probability of a background.

Description

technical field [0001] The invention relates to the field of radar detection, in particular to a millimeter-wave radar target detection method and system. Background technique [0002] The triangular wave radar will obtain multiple scanning frequencies in the case of multiple targets, and it cannot form a one-to-one correspondence between the target speed and position. For the urban track environment, as long as an obstacle is detected, it should be alerted immediately, so there is no need to consider the distance-speed of multiple targets. matching problem. At the same time, since the on-board radar of the train itself has a certain speed, and the moving state of the obstacle relative to the train is unknown, it is difficult to remove the background interference through the traditional method of moving target detection (such as MTD or MTI) to suppress the static clutter, so the speed of the target Information is not valid for this device. However, because the background c...

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Problems solved by technology

At the same time, since the on-board radar of the train itself has a certain speed, and the moving state of the obstacle relative to the train is unknown, it is difficult to remove the background interference through the traditional method of moving target detection (such as MTD or MTI) to suppress the static clutter, so the speed of the target Information is not valid for this device

However, because the background clutter cannot be suppressed by traditional methods, the echoes of objects such as tracks, ground and guardrails in the environment can easily cause false alarms.

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