Airspace Target Detection Method Based on Local Statistics Fusion in Radar Network

Abstract

The invention discloses a radar network airspace target detection method based on local statistic fusion, the realization steps of which are: receiving an echo signal, sampling the echo signal; estimating the noise power of the signal to be detected in the echo signal; Construct the local detection statistics to determine the detection performance of the monostatic radar; sum the local detection statistics to obtain the global detection statistics and determine the detection performance of the radar network; use the detection performance of the radar network to determine the Whether the target exists. The present invention estimates the noise power of the monostatic radar during the detection process. When the fusion center determines the existence of the target, there is no need to estimate the detection threshold. If the global detection statistic is greater than 0, the target is considered to exist, which improves the radar networking system's accuracy of the target. Detection speed.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a radar network airspace target detection method based on fusion of local statistics in the technical field of radar communication. The invention can be used to detect a target at a certain position in space in a self-sending and self-receiving monostatic radar networking system. Background technique [0002] The radar network is composed of multiple self-sending and self-receiving monostatic radars, so as to observe the target from different distances and fuse the signals received by each receiver, thereby improving the detection performance of the networked radar. However, there are still some problems and deficiencies. For example, the distance between the target and the radar is too far so that the signal-to-noise ratio of the echo received by the radar is too low. Therefore, a single radar cannot detect the target. After detection through radar network fusion, it...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that the local noise power needs to be known accurately when detecting objects in the airspace

However, the disadvantage of this method is that when calculating the detection threshold of the fusion center, it needs to be determined according to the signal-to-noise ratio in the echo signal, which will slow down the detection speed of the system

[0005] To sum up, for the application of radar target detection methods in the field of existing radar network detection, the existing methods need to accurately know the noise power, and the signal-to-noise ratio in the echo signal is needed to calculate the detection threshold of the fusion center Causes problems such as slowing down the system detection speed

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