Target detection method and device, sonar and radar

Abstract

The invention provides a target detection method and device, a sonar and a radar. Detection signals corresponding to echo signals are detected based on a constant false alarm rate detector, and echo data corresponding to multiple candidate targets are determined; calculating the distance between the first candidate target and the second candidate target, the Doppler velocity of the first candidate target and the Doppler velocity of the second candidate target according to the first echo data and the second echo data; and when the distance between the first candidate target and the second candidate target is smaller than a preset distance threshold and the difference value between the Doppler velocity of the first candidate target and the Doppler velocity of the second candidate target is smaller than a preset velocity threshold, determining that the first candidate target and the second candidate target correspond to the same candidate target, therefore, the energy of the echo signal reflected by the time extension signal of the same target can be fully utilized, the echo data reflected by the same candidate target can be accurately identified, and the accuracy of target detection is improved.

Description

technical field [0001] The present application relates to the technical field of signal processing, in particular to a training method for a speech classification model, a speech classification method and a device. Background technique [0002] At present, in the process of detecting targets based on time-spreading channels, multiple targets can be detected based on a Constant False Alarm Rate Detector (CFAR) based on a single candidate target. However, the constant false alarm detector for a single candidate target cannot make full use of the energy of the echo signal, and the echo signal of one target will be interfered by the echo signals of other targets, resulting in a decrease in the performance of target detection. The energy of the echo signal can be fully utilized in the target detection process using CFAR based on replica correlation integration, but when the channel expansion time does not match the integration time, the target detection performance is reduced, an...

AI Technical Summary

Problems solved by technology

However, the single-candidate constant false alarm detector cannot make full use of the energy of the echo signal, and the echo signal of one target will be interfered by the echo signals of other targets, resulting in a decrease in the performance of target detection

The energy of the echo signal can be fully utilized in the process of target detection using CFAR based on replica correlation integration, but when the channel expansion time does not match the integration time, the target detection performance is reduced, and different targets cannot be accurately distinguished

[0003] Therefore, the accuracy of the current target detection method is low

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