Radar networking airspace target detection method based on local statistic fusion

Abstract

The invention discloses a radar networking airspace target detection method based on local statistic fusion. The implementation of the radar networking airspace target detection method comprises the steps of receiving an echo signal, and sampling the echo signal; estimating the noise power of a signal to be detected in the echo signal; constructing local detection statistics, and determining the detection performance of monostatic radar; carrying out a summation adding operation on the local detection statistics to obtain a global detection statistic, and determining the detection performanceof radar networking; and determining whether there is a target or not in the echo signal by using the detection performance of the radar networking. According to the invention, the noise power of themonostatic radar is estimated in the detection process, there is no need to estimate the detection threshold when the existence of a target is determined at the fusion center, the target is consideredto exist if the global detection statistic is greater than 0, and the detection speed of the radar networking system for the target is improved.

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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